Generative AI Full Course - Gemini Pro, OpenAI, Llama, Langchain, Pinecone, Vector Databases & More

[@zayinzayin-ri6xl]

Have never seen such a MEGA tutorial session. We're forever blessed with such kind hearts. Glorious blessings to you guys.

[@MeetYourBook]

wow, dropping a 30 hours course, just above and beyond..

[@LUXESTATEX]

do 30 minutes a day

[@VedavyasRS]

1 hour daily, so 30 days ✅️ You can do 30 minutes for two times in a day too. ✅️

[@AbhiTechie506]

​@@VedavyasRS 4 hours in a day 😅

[@FunkyMunkyman69]

Hours I thought it was 30 mins

[@raulquindosmorales6819]

This is amazing, 30 hours of free knowledge right at our fingertips. Thank you so much everyone, you are truly making an impact in people’s lives.

[@motivationalworlld]

Does this course cover the topic of ai chatbot development

[@shubhamkulkarni1202]

did you really finish the course ? 😮

[@kevinlucas9905]

Respect to whoever finishes this 30 hours… I’m right behind y’all I swear!

[@TheNaimi]

No one has. It’s only been released 2 hours ago

[@DProgram-xb9pp]

I don't have time now But I would complete it within 6 months

[@hasanal-dhubaibi1507]

​@@TheNaimiI have finished it ✌️

[@AM-mv6ro]

I’ve finished it!

[@hritikpaliwal]

@@hasanal-dhubaibi1507 have you finished it in krish's channel and is it good for intermediate?

[@nazarowrustem3199]

I start wathing when i was single....now i have wife and 2 kids and still watching

[@iamchiraggupta]

Hahahaha

[@Sabrina-LosAngeles]

😂😂😂

[@NaN_000]

Lies it takes 9 months to get one baby, but this video is only one month old!! You're telling lie

[@_AmperVolt]

And you will be still watching after the divorce.

[@saurabhpathak3179]

I started watching this when I was about to born , now I am in my 80's.

[@Svita4all]

2 hours everyday for 15 days , worth the wait. Entire course outside costs around $1500. Thanks a lot.

[@Khaled__Reda]

What are prerequisites for this course?

[@savinaymahajan9735]

Plz tell me answer for his question​@@Khaled__Reda

[@paklovers1604]

@@savinaymahajan9735 python is mendatory. having basic ML/DL knowledge is a plus

[@shashankgsharma]

python basics and some understanding of how ml, dl models work, like just the intuition. That's all.​@@Khaled__Reda

[@SumanPathak-n5k]

I givn the time of this course daily 3 hour but actually understand 1 hour i dont have it background i repeat video many time to

[@kd6613]

00:25 *🎓 Introduction to Generative AI Community Session* 02:14 *📚 Dashboard Walkthrough and Enrollment Process* 04:19 *📋 Curriculum Overview and Instructor Introduction* 07:42 *📊 Detailed Curriculum Breakdown* 16:49 *🧠 Preparing for Generative AI and LLM Introduction* 23:26 *🧠 Basics of Deep Learning* 27:52 *🤖 Neural Network Architectures Overview* 32:07 *📊 Introduction to Generative AI* 33:28 *📝 Generative AI Models and Applications* 46:12 *🧠 Overview of Text and Image Generation* 56:31 *🔄 Addressing Sequence Mapping Issues* 01:11:52 *🧠 Understanding the Transformer Architecture* 01:17:46 *🔄 Discriminative vs Generative Models* 01:25:00 *🚀 Milestones in Large Language Models (LLMs)* 01:44:02 *📚 Accessing Resources and Engaging with the Community* 01:53:42 *🚀 Overview of Course Enrollment and Dashboard Setup* 01:56:15 *📝 Agenda for Today's Session* 02:06:02 *🌐 Introduction to OpenAI: History, Goals, and Milestones* 02:17:19 *📊 Introduction to OpenAI's API* 02:28:29 *💼 Job Opportunities and Interview Insights* 02:38:19 *📊 Checking Environment and Installing Jupyter Notebook* 02:57:50 *💻 Using the OpenAI Playground and setting up API keys* 03:04:15 *🎮 Exploring the OpenAI Playground and its functionalities* 03:10:47 *🤖 Understanding chat completion API and function calling* 03:29:08 *💡 Understanding tokenization and pricing in OpenAI API.* 03:41:05 *🧩 Prompt Templating with Hugging Face* 03:44:03 *💻 Project Development Setup and Flask Integration* 04:01:10 *🖥 Calling Chat Completion API* 04:22:04 *🖥 Extracting Textual Descriptions Using API Calls* 04:42:10 *📝 Extracting Origin and Destination from Arguments* 04:43:59 *🛫 Retrieving Flight Details* 05:03:21 *💻 Introduction to Function Calling and API Integration* 05:10:05 *🤖 Utilizing Len Chain for AI Prompting* 05:34:50 *🧩 Features and Capabilities of Len Chain* 05:42:40 *🎓 Practical Implementation and Use Cases* 05:49:34 *📝 Creating Prompt Templates* 05:57:15 *🤖 Utilizing Agents for Real-time Information Extraction* 06:09:52 *🛠 API Access and Documentation* 06:13:07 *🖥 Implementing API Calls in Code* 06:15:24 *📊 Real-Time Information Retrieval with Sur API* 06:17:18 *📚 Accessing Wikipedia Information* 06:24:10 *📄 Exploring Langchain Documentation* 06:47:00 *🔗 Sequential Chaining in LLM* 06:52:10 *🧩 Utilizing Sequential Chains in AI Strategy* 07:24:41 *🛠 Len chain project implementation agenda* 08:21:35 *🤖 Setting up Hugging Face Hub and accessing models* 08:30:38 *📦 Installation and library setup for Hugging Face* 08:42:01 *📚 Understanding open-source model usage* 08:46:18 *📝 Steps to download and utilize models locally* 08:54:42 *🤖 Introduction to using LennChain for generating text* 08:58:12 *💡 Exploring different prompts and models for text generation* 09:06:32 *🚀 Announcement of upcoming sessions and resources for learning* 09:25:11 *🚀 Publishing Code to GitHub* 09:37:01 *💻 Setting up Virtual Environment and .gitignore* 09:42:00 *📋 Listing Project Requirements in requirements.txt* 09:48:43 *📦 Structuring Local Package with init.py* 09:58:41 *💻 Installing Python packages and managing dependencies* 10:06:02 *📂 Exploring package metadata and project structure* 10:10:07 *🛠 Configuring API keys and environment variables* 10:24:27 *🧩 Setting Up the Environment for LLM Integration* 10:30:24 *🔗 Creating a Prompt Template for Quiz Evaluation* 10:34:46 *🤖 Connecting Components Using LLM Chain and Sequential Chain* 10:40:25 *🛠 Loading Data and Reading Text from a File* 10:46:41 *🛠 Explaining the usage of OpenAI callback for token tracking in LlamaChain* 11:06:46 *📁 Project setup and agenda overview* 11:11:09 *🛠 Adding files to project structure* 11:28:38 *🔒 Setting Up Logging in Python* 11:41:24 *📝 Using GitHub and Neuro Lab for Project Development* 11:51:33 *🛠 Setting up Virtual Environment and Installing Requirements* 11:58:36 *💻 Setting up Project Files and Importing Dependencies* 12:24:59 *🛠 Finalizing Application Structure* 12:43:31 *🧩 Generating MCQs and Displaying Results* 13:02:00 *📊 Demo and Troubleshooting Streamlit Application* 13:04:26 *🖥 Explanation of application UI and code structure* 13:06:31 *🚀 Tomorrow's agenda: Deployment and introduction to Vector Databases* 13:12:12 *📊 Generating MCQs from text data* 13:16:22 *💻 Preparation for AWS EC2 instance deployment* 13:23:22 *🚀 Starting with Generative AI* 13:24:06 *🛠 Setting up AWS EC2 Instance* 13:37:04 *📂 Cloning and Configuring Repository* 13:40:55 *🗝 Managing Environment Variables* 13:44:44 *🚀 Running the Application* 13:49:09 *📄 Saving generated quizzes in various formats* 13:53:48 *🚀 Deployment process overview and instructions* 14:09:47 *🧮 Understanding Vectors in 2D and 3D Spaces* 14:15:08 *📊 Encoding Techniques for Data Representation* 14:19:06 *📝 Introduction to Embedding Concept* 14:32:02 *🧠 Understanding Vocabulary and One-Hot Encoding* 14:47:39 *📊 Introduction to Vector Databases and Practical Implementation* 14:53:41 *📚 Enrollment Process and Dashboard Overview* 15:00:41 *💻 Accessing Additional Resources and Video Recordings* 15:20:15 *📉 Challenges with Traditional Databases* 15:38:08 *🗃 Use Cases of Vector Databases* 15:57:27 *🖥 Setting up code sharing and library installation* 16:00:56 *📁 Creating and uploading folders/files, troubleshooting file size* 16:06:52 *📑 Loading PDF data, text chunking, and preprocessing* 16:19:34 *📐 Extracting Embeddings with OpenAI* 16:29:37 *💻 Exploring Pinecone Features and Pricing* 16:42:28 *🧬 Implementing Similarity Search with Vector Databases* 17:11:45 *📝 Course Curriculum Overview* 17:19:32 *💻 Setting Up and Exploring Chroma DB in Jupyter Notebook* 17:24:31 *🔍 Overview of Chroma DB on GitHub* 17:26:35 *📚 Exploring Chroma DB Documentation* 17:47:23 *📊 Generating Embeddings and Using OpenAI Model* 17:51:27 *🗝 Setting Up OpenAI API Key* 17:55:06 *📚 Importing Libraries and Loading Data* 18:09:37 *📚 Chunking Data for Large Text Input* 18:22:12 *💽 Creating Embeddings and Storing Locally* 18:28:38 *🔄 Retriever Creation and Document Retrieval* 18:51:27 *🛠 Overview of project flow and data handling:* 19:08:27 *📊 Understanding Model Costs* 19:16:20 *🛠 Requirements for Open Source Models* 19:27:11 *🧠 Understanding Llama 2* 19:38:00 *🦙 Using the Llama 2 Model for Chat* 20:21:19 *📝 Generating responses using LLM model* 20:27:14 *🛠 Setting up LLM model with Hugging Face pipeline* 20:46:21 *🛠 Using Prompt Templates and LLM Chain* 21:12:12 *🛠 Architecture Overview* 21:18:24 *🧩 Technology Stack* 21:55:15 *📚 Setting Up Pinecone for Vector Database* 21:59:30 *📚 Loading PDF Data and Creating Text Chunks* 22:20:19 *📚 Storing Text Embeddings in Pinecone Vector Database* 22:39:15 *📂 Setting Up Project Structure* 23:16:21 *🗂 Setting Up Environment Variables and Code Structure* 23:19:13 *📝 Converting Notebook Code to Modular Components* 23:22:02 *📦 Integrating Third-Party Libraries and Dependencies* 23:24:26 *🛠 Storing Data in a Vector Database* 23:42:54 *🌐 Developing Frontend Components with Flask* 23:44:20 *📦 Setting up environment and dependencies* 23:50:36 *🌐 Creating web interface and user interaction* 24:13:51 *🎓 Information about Generative AI Course* 24:36:59 *🤖 Comparison Between Google B and Gemini* 24:13:51 *🎓 Information about Generative AI Course* 24:22:13 *📑 Agenda for Google Gemini LLM Session* 24:29:41 *🔍 Understanding Google Gemini LLM Model* 24:36:59 *🤖 Comparison Between Google B and Gemini* 25:03:58 *🧾 Automating Invoice Data Extraction with LLM* 25:07:01 *🛠 Setting up Environment and Installing Dependencies* 25:08:52 *📝 Planning and Architecture for Invoice Extraction Application* 25:25:12 *🚀 Initializing Streamlit App and User Interaction* 25:29:36 *🖥 Discussing Input Information for Response Generation* 25:39:39 *🎓 Conclusion and Course Promotion* 26:02:22 *🎓 Exploring Course Documentation* 26:03:09 *🤝 Appreciation and Course Selection* 26:05:52 *📚 Guidance for Learning Paths* 26:11:37 *💼 Career Path Discussion* 26:13:52 *🌍 Appreciation and Enrollment Queries* 26:42:55 *📊 Executing SQLite insertions and displaying records* 26:46:28 *🧠 Configuring and loading generative AI model for query generation* 26:50:09 *🗃 Creating functions for retrieving queries from the database* 26:53:10 *🚀 Setting up Streamlit app and defining prompts* 26:59:13 *💻 Setting Up Streamlit App for SQL Query Processing* 27:24:17 *🛠 Debugging SQL Query Execution* 27:36:18 *🗃 Advanced SQL queries and nested conditions* 27:46:30 *💬 Q&A Session and Course Information* 27:59:21 *🏢 Discussion on industry experience and project-based learning* 28:21:32 *📚 Overview of Future Capabilities* 28:43:00 *🧠 Understanding Generative AI* 28:49:06 *🎨 Generative Models vs. Discriminative Models* 28:57:46 *💡 Training LLM Models* 29:12:23 *⚡ GPU Infrastructure Costs and Carbon Emissions* 29:15:35 *📊 Training Metrics and Considerations* Made with HARPA AI

[@smallhumans]

Thanks man.

[@じゅげむ-s6b]

jesus

[@019saivikram5]

Is it possible to for private video timestamps with harpa ai ...?

[@hunter271]

my friend said that you are " khuda ka nek banda" , meaning kind person of god(sent by god)

[@motivationalworlld]

Hats offf

[@nishant9847]

took me 10 days to complete the whole video, literally it is the best resource for beginers. 9/10 overall video

[@VivekChavan-ov3pl]

Literally? Can we connect and talk I am soft eng but interested in adding ai into my skillset

[@Srinivasarao8_p2]

Did you learned dear

[@Mahrooshay]

Once we complete, will we be able to earn?

[@Mahrooshay]

And I am a biotechnologist by profession, should I watch?

[@nishant9847]

@@Mahrooshay if u know python you can proceed with it otherwise you should first learn python

[@RohanVetale]

The best course so far on Generative AI for free. I have just started with this one the day it was uploaded. Kudos to the whole team!!

[@LikemyCommentt]

@KpD007 😐😐😐😐

[@GauravSingh-pk4qw]

Are you done with the course? Was it worth watching it?

[@abhishekgaur2899]

​@@GauravSingh-pk4qw same question I want to learn but don't know how

[@Amina-ks4gq]

@@abhishekgaur2899 I've been working on the course. I'm taking notes as I watch and clarifying questions using ChatGPT.

[@ArisettySaiGanesh]

hey does we need to buy premium for every LLM they mentioned like CHAT GPT(we need to buy premium for API), i am a begginer i dont have mony to buy all these premiums can you guide me through it

[@koolchamp4394]

Some people never appreciates the effort... Be positive and start learning something... The instructor's English or accent is fully understandable... Thanks for creating such a wonderful content.m

[@Romanov392]

This channel is a pure gold bro

[@kingwinner-yu3yb]

perfect, 00:25 Introduction to Generative AI Community Session 02:14 Dashboard Walkthrough and Enrollment Process 04:19 Curriculum Overview and Instructor Introduction 07:42 Detailed Curriculum Breakdown 16:49 Preparing for Generative AI and LLM Introduction 23:26 Basics of Deep Learning 27:52 Neural Network Architectures Overview 32:07 Introduction to Generative AI 33:28 Generative AI Models and Applications 46:12 Overview of Text and Image Generation 56:31 Addressing Sequence Mapping Issues

[@hcotechconsulting4816]

Krish Naik is the MAN , thanks for posting!

[@neeraj.kumar.1]

All the others are female?

[@souradip3208]

⌨️ (00:00:00​) DAY 1: Introduction to Generative AI Community Course ⌨️ (01:44:14​) DAY 2: Introduction to OpenAI and understanding the OpenAI API ⌨️ (03:37:49​) DAY 3: Introduction to LangChain ⌨️ (05:16:48​) Day 4: Hugging Face API + Langchain ⌨️ (07:13:08​) DAY 5: Memory in Langchain ⌨️ (09:07:53​) DAY 6: LLM Generative AI Project using OpenAI & LangChain ⌨️ (11:03:29​) DAY 7: LLM Generative AI Project & Deployment ⌨️ (13:09:02​) DAY 8: Introduction to Vector Database for AI & LLM ⌨️ (14:52:41​) DAY 9: Mastering Vector Databases with Pinecone ⌨️ (17:02:19​) DAY 10: Mastering ChromaDB Vector Databases ⌨️ (19:04:25​) DAY 11: Introducing Meta Llama 2 ⌨️ (20:54:33​) DAY 12: End to End Medical Chatbot Project, Part 1 ⌨️ (22:36:05​) DAY 13: End to End Medical Chatbot Project, Part 2 ⌨️ (24:22:10​) Generative AI: Everything You need to know about Gemini Pro LLM Models ⌨️ (26:16:33​) End to End Gen AI Project using Google Gemini Pro ⌨️ (28:24:14​) Webinar - Generative AI Revolution: The Future

[@VedavyasRS]

Good plan for 2 weeks ❤

[@thefarmersclan]

Woah. Man just needs time. 30 hrs. Well done guys.

[@shtappy]

2 week course in one video! Awesome!

[@parthdeshwal4419]

bro i don't think it's possible for a beginner who just knows python to complete this course in 2 weeks ...

[@mothishram]

What else do they need​@@parthdeshwal4419

[@arisaiman6784]

Just completed. I appreciate your work guys. Very impressive.

[@a_a3680]

Is it really valuable? Am planning to start watching it but i was worried if it’s quite superficial compared to other tutorials

[@user-zs2jc6uj8y]

What is the job you are doing now brother

[@arisaiman6784]

@@a_a3680 I guess you should hve watched it by now, if not I'd say not exactly superficial but time could have been reduced for same info. by a lot..

[@-Giridharan]

@@a_a3680 brother i coudnt find the dashboard link, by any chance can you post it in reply

[@shahzoorkhan515]

Completed a 31-hour course - turns out, I can binge-watch educational content too! Who needs Netflix when you've got knowledge to gain?

[@rupalpatle6575]

was the course worth it?

[@Asdi89]

give us insigths is it really worth it?

[@sp-nt2tm]

Can i make a simple offline chatbot with my own data using this courrse?

[@arrabalimaz]

great man

[@barnabaspaksi2018]

@@Asdi89 @rupalpatle6575 If you are new to building actual genAI applications, this resource is extremely valuable. Even if you only do the first section with OpenAI, you'll have a good idea about everything. Highly recommend it. The sections after that mainly show identical projects with Llama and Gemini which are helpful but have less added value. I also recommend finishing the vectorDB part, in case you are not familiar with them.

[@hashemghanem3906]

Topics: - Advanced function calling: 5:00:49 - Langchain&OpenAI: 5:45:45 - Agents: 6:05:40 - Chains: 6:32:00 - simplesequential chain: 6:46:50 - Memory in langchain: 7:18:02 - HuggingFace and LangChain 8:22:08 - 1st project: 9:14:00 - Vector databases: 14:01:00 - Pinecone VectorDB Code: 15:47:55 - Chroma 17:16:30 - llama2: 19:09:00 - End-to-End medical chatbot (RAG+llama2+Pincone): 20:54:34 - Google Gemini image invoice info extractor: 24:22:30 - déploiement on hugging face 27:39:46 - next: 28:24:38

[@Mohammedamer-tj5ev]

they've started this course 1 or 2 months ago and completed long back on their channel, code camp collaborated with them and uploaded their complete course 2 hours ago. I really appreciate the great content. Thanks all

[@hritikpaliwal]

is it good?

[@RitheshSreenivasan]

@@hritikpaliwal all notebooks are outdated by now.

[@SaurabhSarang]

​@@RitheshSreenivasandidn't get it is the course outdated?

[@RitheshSreenivasan]

@@SaurabhSarang Some materials are

[@syedaayeshahere]

@@RitheshSreenivasanso what’s the solution

[@jinhe4438]

I am watching for 1.5 hour and I have to say this is an amazing resource. Thank you

[@chrisgriffin8710]

This is very generous of these two brothers to share such world knowledge of the now in later

This is gold! Thank for all the instructors❤

[@smanqele]

This is epic! I need to take 5 days' leave and follow this undisturbed, non-stop!

[@crimsonghoul8983]

Wait, really?

[@siddharthsingh476]

Completed? Successfully?

[@ApuVisp]

Sunny is a great instructor. Well done and thank you

[@zimnelredoran9985]

Beyond awesome, thanks a lot, 30 hour course makes a difference!

[@ali050786]

Guys this is course very good, just a advice watch at 1.5x speed and don't try to finish in a day or 2. Watch only 2-3 hours of timeline every day.

[@JEEVRAJTARALKAR]

But at the end of the course , will we able to make gen AI LLM apps on our own or we will learn only prompt engineering?

[@RajneeshKumarDubey-ve9qv]

There is no resource in resource section, They said they will provide ppt, notes and codes, but there are not any

[@ArisettySaiGanesh]

hey does we need to buy premium for every LLM they mentioned like CHAT GPT(we need to buy premium for API), i am a begginer i dont have mony to buy all these premiums can you guide me through it

[@anithakaleeswaran1320]

Thank you Sunny for your passion in sharing the knowledge. You have taken great effort to create this video. I was pretty new to GenAI, your course helped me understand necessary concepts and it wasn't boring at all.

[@yomonsbuzz4978]

Casually drops the whole generative ai course, W

[@ThePollingStation]

He always waits for the students to reply. Such a good man.

[@joeljoseph26]

Krish Naik & iNeuron, I’ve been learning from you guys the past 4 years. ❤

[@a.educate6172]

What are you doing Joe, do run any business or side hustle?

[@aldsbook]

⌨ (00:21:09​) DAY 1: Introduction to Generative AI Community Course ⌨ (01:44:14​) DAY 2: Introduction to OpenAI and understanding the OpenAI API ⌨ (03:37:49​) DAY 3: Introduction to LangChain ⌨ (05:16:48​) Day 4: Hugging Face API + Langchain ⌨ (07:13:08​) DAY 5: Memory in Langchain ⌨ (09:07:53​) DAY 6: LLM Generative AI Project using OpenAI & LangChain ⌨ (11:03:29​) DAY 7: LLM Generative AI Project & Deployment ⌨ (13:09:02​) DAY 8: Introduction to Vector Database for AI & LLM ⌨ (14:52:41​) DAY 9: Mastering Vector Databases with Pinecone ⌨ (17:02:19​) DAY 10: Mastering ChromaDB Vector Databases ⌨ (19:04:25​) DAY 11: Introducing Meta Llama 2 ⌨ (20:54:33​) DAY 12: End to End Medical Chatbot Project, Part 1 ⌨ (22:36:05​) DAY 13: End to End Medical Chatbot Project, Part 2 ⌨ (24:22:10​) Generative AI: Everything You need to know about Gemini Pro LLM Models ⌨ (26:16:33​) End to End Gen AI Project using Google Gemini Pro ⌨ (28:24:14​) Webinar - Generative AI Revolution: The Future

[@ZainDataScienceCompVisionGenAI]

already created

[@king610160]

Finish 30hrs course, and get so many knowledge about AI. Thanks for sharing😊

[@giridharyadavb993]

You have any pdf bro

[@Aakash_savant]

Be consistent with what you want to learn. Don’t make excuses that it will take ages to complete. Make a time schedule and learn accordingly. I’m not criticizing anyone; everyone has 24 hours. How you manage it is your responsibility. Even Elon Musk has 24 hours. I’m not suggesting you complete everything in one shot, but you have to manage your time. I have already completed I have started from past 5 days complete uptp : 9:12:32

[@bestofthenet7099]

I am from india,here we make fun of people with bad english,whereas in comments all the native english people has nothing to complaint about his bad english,we indians must learn something from them. And gr8 effort team behind this extensive 30 hrs course

[@vinayvupparapalli4782]

@@kitty.miracle no one asked dude. just keep it your self.

[@bharath2508]

😮 30 hours. Thanks for the timestamps

[@VickieNguyen-j2v]

Clear, concise, and easy to follow. Great job explaining!

[@hunterval]

this site is gem, posting valuable things for no cost. My best wishes to all the team members

[@ihorv44]

just imagine this figure 1:06:18:01 it`s insane length of video. thanks guys, you are incredible

[@FusionIsLive07]

Thank god , just 3 days back I started with generative AI course on google could. I was searching for project to make. Then I opened KZbin. Free code camp always know what we want❤. I am going to start this course from tomorrow. Wish me luck guys.

[@arora3837]

goodluck!

[@hemanfree4710]

Goodluck dude i am going to start as well

[@JEEVRAJTARALKAR]

Have you finished?

[@dear_nidhi]

@@JEEVRAJTARALKAR i have finished 26 hour of this

[@JEEVRAJTARALKAR]

@@dear_nidhi thanks. Are you able to create gen AI projects by yourself , after completing this course? Like developing chatbots using your pdf as a knowledge base?

[@emmanuelaka2024]

Watching from Zambia with determination. Thank you for this great course

[@ARPITCHAVAN-uu7bo]

I affirm myself, I am going to complete this course 😎

[@tskhdjsgwgsh2001]

I'm commenting to check if you completed this course or not. reply this comment by word "completed" after completing this course. so that i will know that you completed this course. This is challenge from me to you!!

[@theCuriousCuratorML]

Just wanted to know if you learnt something or it could have been compressed to 5 hours. And other 25 hours is marketing.

[@TheOnlyAndOddPath]

Have u finished yet?

[@_nolimitsMotivation]

Taking over the challenge! I'll reply completed when I'm done

[@supriyakumarmishra9177]

Bro, what's the status, is is still in progress or have you completed the 30 hours in 2 weeks or not?

[@kongorodickens9014]

30hrs??? Just woow... Your efforts are highly appreciated.

[@sushants523]

I completed 13 hours in 5 days, will be completing whole course in next 6 days. thank you for this learned a lot.

[@Whereismybus]

Hlo broo

[@Whereismybus]

Have you completed ?

[@jonasbaine3538]

What’s your background? You do ai work professionally?

[@sushants523]

Completed the Course

[@sushants523]

@@jonasbaine3538 i am Cloud and devops enginner and learning ai

[@silent_traveller7]

Finally done with the course. LLM are just transformers trained on large amount of data using good amount of GPU resources. Transformers can be build by any data scientist but GPU resources needed to build LLMs can be afforded by big companies only. Fine tuning can be done but will again require good amount of GPUs. Currently good models exists such as Chat gpt-3.5, lama, gemini pro. Chat gpt 4 is better at coding/computing than gpt-3.5. Gemeni pro has vision LLM which can read pdfs and images. Good prompt engineering is required to get tasks done by LLMs. Hugging face has all the models with all possible task a ML/DL model can accomplish but different models will do different task which require retraining and fine tuning. LLMs can help solve a lot of ML/DL task from one platform/model, given we do proper prompt engineering. I think we are moving exponentially in the direction were we will be using LLMs to do different variety of AI tasks using prompt engineering.

[@jaybharat3949]

Brother, is there any prerequisite before jumping into the tutorial?

[@silent_traveller7]

@@jaybharat3949 Knowing basic python, ML, DL will help though not mandatory.

[@UnCanny_]

what topics ?@@silent_traveller7 LET ME KNOW QUICK :)

[@akzork]

what do you mean by prompt engineering?

[@harshans7712]

Brother a small doubt, in this course are they teaching to implement pre trained model and fine tune it or are they teaching to create our own llm model?

[@lovepreetsingh8241]

Massive respect for this guy and his team

[@ybsonali]

I started following the tutorial today and plan to complete the series by the end of the month!! Wish me luck and happy learning!

[@KanishkKumar-m8t]

Bro I started today cause I was bored, and I have exams from monday. Is it worth watching , any reviews on the course?

[@ybsonali]

@@KanishkKumar-m8t I'm at day 5 and if you want a course walkthrough I'll say it has some great explanation of concept and majority of stuffs are hands on so I think if you are interested in upscaling your skills sure go for it 👍. anyways I'll try to rate this course after completion 🤠

[@ybsonali]

@@KanishkKumar-m8t I'm on day4 and so far loving this as it's hands-on too and crips clear concepts ! I guess it's worth giving couple of minutes/ day.

[@じゅげむ-s6b]

so far, what do you think

[@ybsonali]

@@KanishkKumar-m8t after completing more than 60% of the video i think it's really well designed course and the modules are also interactive . I guess you can take it as a course to learn if you are looking for nice knowledge on the topics.

[@sunnysavita10]

I hope you all are enjoying the sessions...Take a challenge to complete this course. Good Luck

[@021-g.vineela4]

Can you please share link to Ineuron dashboard link

[@NakedSageAstrology]

I was just about to start my education into this adventure and saw this video. The marketing is probably subliminal, but I'm excited either way!

[@aliberspilberg1]

Me parece perfecto! mientras mas dure es mejor... Disfruto los videos largos y educativos... Espero finalizar este curso de manera correcta. Gracias...

[@medium-amit]

This is really helpful. Hats off to the efforts of this guy.

[@mahendranath2504]

Wow , thank you so much for sharing the knowledge

[@kangmoabel]

Oho men this is a masterpiece and it is for free how lucky we are !! hats off to freecode camp 🎓🎓🎓

[@devilsh8273]

This video is definitely on my playlist ❤

[@lalithamocherla8110]

This is the perfect video that I'm looking for❤❤. Thank you for making this long video😍😍

[@JEEVRAJTARALKAR]

Have you completed? Is it worth it

[@thilinarupasinghe7968]

3days 10hrs Worksop learning. Thank you.

[@RajaLucky-g5u]

How is the course? Is it worthy?

[@AtiqDaruwala]

Thanks!

[@ArisettySaiGanesh]

00:25 Introduction to Generative AI Community Session 02:14 Dashboard Walkthrough and Enrollment Process 04:19 Curriculum Overview and Instructor Introduction 07:42 Detailed Curriculum Breakdown 16:49 Preparing for Generative AI and LLM Introduction 23:26 Basics of Deep Learning 27:52 Neural Network Architectures Overview 32:07 Introduction to Generative AI 33:28 Generative AI Models and Applications 46:12 Overview of Text and Image Generation 56:31 Addressing Sequence Mapping Issues 01:11:52 Understanding the Transformer Architecture 01:17:46 Discriminative vs Generative Models 01:25:00 Milestones in Large Language Models (LLMs) 01:44:02 Accessing Resources and Engaging with the Community 01:53:42 Overview of Course Enrollment and Dashboard Setup 01:56:15 Agenda for Today's Session 02:06:02 Introduction to OpenAI: History, Goals, and Milestones 02:17:19 Introduction to OpenAI's API 02:28:29 Job Opportunities and Interview Insights 02:38:19 Checking Environment and Installing Jupyter Notebook 02:57:50 Using the OpenAI Playground and setting up API keys 03:04:15 Exploring the OpenAI Playground and its functionalities 03:10:47 Understanding chat completion API and function calling 03:29:08 Understanding tokenization and pricing in OpenAI API. 03:41:05 Prompt Templating with Hugging Face 03:44:03 Project Development Setup and Flask Integration 04:01:10 Calling Chat Completion API 04:22:04 Extracting Textual Descriptions Using API Calls 04:42:10 Extracting Origin and Destination from Arguments 04:43:59 Retrieving Flight Details 05:03:21 Introduction to Function Calling and API Integration 05:10:05 Utilizing Len Chain for AI Prompting 05:34:50 Features and Capabilities of Len Chain 05:42:40 Practical Implementation and Use Cases 05:49:34 Creating Prompt Templates 05:57:15 Utilizing Agents for Real-time Information Extraction 06:09:52 API Access and Documentation 06:13:07 Implementing API Calls in Code 06:15:24 Real-Time Information Retrieval with Sur API 06:17:18 Accessing Wikipedia Information 06:24:10 Exploring Langchain Documentation 06:47:00 Sequential Chaining in LLM 06:52:10 Utilizing Sequential Chains in AI Strategy 07:24:41 Len chain project implementation agenda 08:21:35 Setting up Hugging Face Hub and accessing models 08:30:38 Installation and library setup for Hugging Face 08:42:01 Understanding open-source model usage 08:46:18 Steps to download and utilize models locally 08:54:42 Introduction to using LennChain for generating text 08:58:12 Exploring different prompts and models for text generation 09:06:32 Announcement of upcoming sessions and resources for learning 09:25:11 Publishing Code to GitHub 09:37:01 Setting up Virtual Environment and .gitignore 09:42:00 Listing Project Requirements in requirements.txt 09:48:43 Structuring Local Package with init.py 09:58:41 Installing Python packages and managing dependencies 10:06:02 Exploring package metadata and project structure 10:10:07 Configuring API keys and environment variables 10:24:27 Setting Up the Environment for LLM Integration 10:30:24 Creating a Prompt Template for Quiz Evaluation 10:34:46 Connecting Components Using LLM Chain and Sequential Chain 10:40:25 Loading Data and Reading Text from a File 10:46:41 Explaining the usage of OpenAI callback for token tracking in LlamaChain 11:06:46 Project setup and agenda overview 11:11:09 Adding files to project structure 11:28:38 Setting Up Logging in Python 11:41:24 Using GitHub and Neuro Lab for Project Development 11:51:33 Setting up Virtual Environment and Installing Requirements 11:58:36 Setting up Project Files and Importing Dependencies 12:24:59 Finalizing Application Structure 12:43:31 Generating MCQs and Displaying Results 13:02:00 Demo and Troubleshooting Streamlit Application 13:04:26 Explanation of application UI and code structure 13:06:31 Tomorrow's agenda: Deployment and introduction to Vector Databases 13:12:12 Generating MCQs from text data 13:16:22 Preparation for AWS EC2 instance deployment 13:23:22 Starting with Generative AI 13:24:06 Setting up AWS EC2 Instance 13:37:04 Cloning and Configuring Repository 13:40:55 Managing Environment Variables 13:44:44 Running the Application 13:49:09 Saving generated quizzes in various formats 13:53:48 Deployment process overview and instructions 14:09:47 Understanding Vectors in 2D and 3D Spaces 14:15:08 Encoding Techniques for Data Representation 14:19:06 Introduction to Embedding Concept 14:32:02 Understanding Vocabulary and One-Hot Encoding 14:47:39 Introduction to Vector Databases and Practical Implementation 14:53:41 Enrollment Process and Dashboard Overview 15:00:41 Accessing Additional Resources and Video Recordings 15:20:15 Challenges with Traditional Databases 15:38:08 Use Cases of Vector Databases 15:57:27 Setting up code sharing and library installation 16:00:56 Creating and uploading folders/files, troubleshooting file size 16:06:52 Loading PDF data, text chunking, and preprocessing 16:19:34 Extracting Embeddings with OpenAI 16:29:37 Exploring Pinecone Features and Pricing 16:42:28 Implementing Similarity Search with Vector Databases 17:11:45 Course Curriculum Overview 17:19:32 Setting Up and Exploring Chroma DB in Jupyter Notebook 17:24:31 Overview of Chroma DB on GitHub 17:26:35 Exploring Chroma DB Documentation 17:47:23 Generating Embeddings and Using OpenAI Model 17:51:27 Setting Up OpenAI API Key 17:55:06 Importing Libraries and Loading Data 18:09:37 Chunking Data for Large Text Input 18:22:12 Creating Embeddings and Storing Locally 18:28:38 Retriever Creation and Document Retrieval 18:51:27 Overview of project flow and data handling: 19:08:27 Understanding Model Costs 19:16:20 Requirements for Open Source Models 19:27:11 Understanding Llama 2 19:38:00 Using the Llama 2 Model for Chat 20:21:19 Generating responses using LLM model 20:27:14 Setting up LLM model with Hugging Face pipeline 20:46:21 Using Prompt Templates and LLM Chain 21:12:12 Architecture Overview 21:18:24 Technology Stack 21:55:15 Setting Up Pinecone for Vector Database 21:59:30 Loading PDF Data and Creating Text Chunks 22:20:19 Storing Text Embeddings in Pinecone Vector Database 22:39:15 Setting Up Project Structure 23:16:21 Setting Up Environment Variables and Code Structure 23:19:13 Converting Notebook Code to Modular Components 23:22:02 Integrating Third-Party Libraries and Dependencies 23:24:26 Storing Data in a Vector Database 23:42:54 Developing Frontend Components with Flask 23:44:20 Setting up environment and dependencies 23:50:36 Creating web interface and user interaction 24:13:51 Information about Generative AI Course 24:36:59 Comparison Between Google B and Gemini 24:13:51 Information about Generative AI Course 24:22:13 Agenda for Google Gemini LLM Session 24:29:41 Understanding Google Gemini LLM Model 24:36:59 Comparison Between Google B and Gemini 25:03:58 Automating Invoice Data Extraction with LLM 25:07:01 Setting up Environment and Installing Dependencies 25:08:52 Planning and Architecture for Invoice Extraction Application 25:25:12 Initializing Streamlit App and User Interaction 25:29:36 Discussing Input Information for Response Generation 25:39:39 Conclusion and Course Promotion 26:02:22 Exploring Course Documentation 26:03:09 Appreciation and Course Selection 26:05:52 Guidance for Learning Paths 26:11:37 Career Path Discussion 26:13:52 Appreciation and Enrollment Queries 26:42:55 Executing SQLite insertions and displaying records 26:46:28 Configuring and loading generative AI model for query generation 26:50:09 Creating functions for retrieving queries from the database 26:53:10 Setting up Streamlit app and defining prompts 26:59:13 Setting Up Streamlit App for SQL Query Processing 27:24:17 Debugging SQL Query Execution 27:36:18 Advanced SQL queries and nested conditions 27:46:30 Q&A Session and Course Information 27:59:21 Discussion on industry experience and project-based learning 28:21:32 Overview of Future Capabilities 28:43:00 Understanding Generative AI 28:49:06 Generative Models vs. Discriminative Models 28:57:46 Training LLM Models 29:12:23 GPU Infrastructure Costs and Carbon Emissions 29:15:35 Training Metrics and Considerations

[@EthHack_Cop]

ॐ सर्वे भवन्तु सुखिनः सर्वे सन्तु निरामयाः। सर्वे भद्राणि पश्यन्तु मा कश्चित् दुःख भाग्भवेत्। ॐ शान्तिः शान्तिः शान्तिः॥ जय श्री राम, जय हिन्द

[@federicobartolozzi680]

What a gift! Thank you ❤

[@Lovvii]

You did such a great job. Finally i finished it. Now my resume has some more weightage. Thank you so much!

[@anshmangla7554]

Is the course good enough?

[@syedabdulshanawaz4532]

Committing to complete this course. Please as a reminder keep me in check by liking the comment or replying to the comment. Will help me stay focused.

[@premeducational7728]

So good understanding sir , all modules clearly demonstrating by you , so thankfull

[@DineshBabu-gn8cm]

Hi, were you able to access the dash board , quiz pages he mentions in the starting of the video

[@vikaskashyap3651]

Agar koi ye video start kar raha hai dekhna aur use agar python nahi aati to mat dekhna.....phle jao aur python seekho then uske baad ye video complete karna......❤

[@SauravR402]

Guys, you all gained some good karma by sharing this huge learning material to the world. 😍😍

[@linalogvina6001]

Omg thank you a lot!! I’ll update this message once I finish this course:)😅

[@_nolimitsMotivation]

Will be waiting

[@sskyadarkunte]

is it done?

[@T36788]

Hello

[@Anusiri-r9s]

Great efforts! - "So glad I stumbled upon this. It's super helpful!"

[@AlexPo-dd1ll]

I am glad that I found this course but I am just wondering if this course is suitable to learn for people who has no prior knowledge of AI concepts.

[@rachitbansal2231]

Guys, I have been watching this non-stop and I never believed in reincarnation, now I do.

[@phx__7]

Having watched the 30hr video, it was worth it

[@GauravSingh-vm7no]

Watched at 40x eh?😮

[@phx__7]

@@GauravSingh-vm7no watched it at 45x actually, a normal human brain won't be able to comprehend it tho

[@chetansonigara]

knowledge of machine learning and deep learning and natural language processing before starting the generative ai any course for development gen ai project

[@nithishprabhu]

Brilliant course! thank you for this compilation

[@harshitmishra2387]

Just completed 1 hour !! it required lots of concentration , will come back to update my progress 🙂🙂

[@sundar1804]

what's your progress

[@harshitmishra2387]

Finally Completed the couse 🥱🥱🥱🥱 , now i have to sleep atleast for 2 days

[@harshitmishra2387]

Completed :)

[@koushik1947]

how was it? ​@@harshitmishra2387

[@SomnathPattnaik]

​@@harshitmishra2387bro is it beginner friendly? I know only python basics.

[@AmaanABGamer]

That's absolutely amazing 😮30 hrs 🎉course for GENAI

[@abogaux]

The content is a treasure and the intent is genuine and should be given credit but the English and tone are a clear destroyer . Is there a way to use ai to create an an agent to watch this and repackage it with proper English, tone, and video creation so this knowledge could reach millions more?

[@gauthambharati7474]

He is Indian and not everyone here can speak pure "proper" English. Nevertheless you can atleast understand and follow him fully, I believe!

[@Seriouslydave]

turn on subtitles

[@mariamkutty4658]

If you facing problem with english I can repackage this with good hearable clear voice.. Just pin me at my channel @mariamtechhub

[@preetioswal6652]

His English ain't wrong it's just an Indian accent

[@travelwithrishi465]

I Have A Question Is This Q Advance Course Of Generative Ai

[@Arjun.gouda.127]

10 hours a day giving and finally completed in 3 days🎉❤

[@divyaamohan7622]

Sir isse kuch aapko help mili...?

[@divyaamohan7622]

Means anytype of financial...?

[@Elluzive]

I'll find a spare 30 hours to watch this.

[@brandon_wallace]

Watch 30 minutes per day.

[@punyaponr613]

Thank you! I am looking for course like this! Loving it!

[@BB1CC666]

Just started from 0s, wish me luck guys...see you on the other side

[@ritikroshan9681]

How long hv u been was the course beneficial?

[@Phraxii]

wow really appriciate your work guys, so informative!

[@bagguji1455]

13 august 24->7:13 15 || 9:41:00 17 aug 11 hrs completeed

[@NotesandPens-ro9wx]

I love Ineuron .. I am from Pakistan :) love you guys really you are great

[@Babarkhan-qo1jx]

What we will learn in this course how to use AI For Developing a website or software??or its just a brief introduction of different AI models??i dont get what we will learn in it and how we can implement it in our Programing.

[@dibenduRudraSarma]

Finally completed the course , meanwhile my son got married and my grand child took his college admission😀and my crush's daughter looks exactly like her now(irresistible) , she is in her 20s🤣

[@dear_nidhi]

I started watching it when i was single.i got bf and he left me.. now he has wife and 4 kids ..& i m single again & still watching 😢

[@obaidullahjasim5098]

Achha kahani hai 😂

[@pawanrathod9184]

Kya me tumare liye kuch kar sakta hu

[@RBMstatus]

😅😅😅

[@kidslight]

I'm also single 😅

[@mudasir289]

😂😂😂😂😂😂😂😂

[@study-ku8ui]

Thanks for providing knowledgeable content. Hope will providingsuch more content in future.

[@Forever._.curious..]

Is there any prerequisite needed, before watching this course? Thanks for all efforts 🙏🏻

[@benwalker9885]

I was wondering the same thing. Have you found out?

[@khushigarg5397]

Great Video excellent knowledge, thank you so much for the wonderful explanation

[@3danimationshorts560]

who came here after watching the reel

[@Bandit-u3u]

these guys are the final boss of youtube indian tutorials. based

[@Indianmotionschool]

Indian tutor 🗿

[@MyYoutubeUniversity]

I hope by following you I can learn a new skill and change my world and others too.

[@hardikbhagat7858]

Its so Frustrating to watch 10:44:33 that you are implementing project according to openAi api key but not giving any guidance for those students who are using hugging_face. PS : "You are providing this knowledge on free platform. "

[@lordfinnish]

I really appreciate the effort put into really quality content. Thank you.

[@KandivalasaApparao-t6y]

Telugu guys drop a like😅

[@saurabhpathak3179]

I started watching this when I was about to born , now I am in my 80's.

[@cuteorpyarahamza]

Not funny at all

[@cruise1512]

World best channel with best mentor

[@tarun_techmastery]

Currently I am at 9:20:24.

[@hi.its-me]

Is it worth and what I will be if I did all this?

[@tarun_techmastery]

Yes, totally worth it. After completion, you will be able to know how to build an effective GenAI application.

[@hi.its-me]

@@tarun_techmastery thank you bro, can you please also tell what gen ai applications is used for? I want to clarify

[@BeingAdu]

I will USE AI to watch the video on my behalf and make me understand later!!!! 😃

[@germaniumoxide6382]

In Two hours i learnt nothing. Only learnt about guys....please do let me know

[@malikalonazi2411]

😂

[@funtushgaming2596]

I can't thank this channel enough