Generative AI for Developers - Comprehensive Course

[@dswithbappy]

Thank you so much. I'm glad you found the course helpful. I hope this course will help many people with their Generative AI journey. Happy Learning!😍😍

[@DhanNirankarSatkartar]

Is this for total beginners?

[@premvishwakarma6409]

Ya let me know also plz

[@rachitxgames]

Tx bro

[@sumitsingh-CANDY]

Bhai aap isko apne channel me hindi me upload kro, definetly benefit hoga. It help us to learn faster from native teacher than a second language teacher tutorial....if possible agar na ho paye koi baat nahi regards !!

[@xade8381]

@@sumitsingh-CANDY He's from Bangladesh

[@ElectricEric2030]

00:00 📚 Course Overview 00:39 💼 Career Benefits 01:09 📖 Course Content 02:05 🤖 Large Language Models 03:14 📈 Vector Databases 03:42 📊 Frameworks & Tools 04:11 🚀 Deployment & LLM Ops 04:39 👋 Instructor Introduction 05:07 📚 Course Structure 06:04 🤔 What is Generative AI? 07:52 🤖 Generative AI generates new data based on training samples. 09:30 📊 Generative AI has various applications, including image, language, & audio models. 10:26 📚 Generative models learn from large amounts of data. 11:50 🤔 Why are generative models required? 12:04 📊 Understanding complex patterns from unstructured data. 12:32 📝 Content generation. 13:43 📈 Building powerful applications. 14:52 📊 The V diagram of artificial intelligence. 15:32 🤖 Generative AI models can generate new data from unstructured input data. 17:23 📊 Generative models are a subset of deep learning & are trained on huge amounts of data. 19:43 📚 Generative models are large language models that use deep learning algorithms to process & understand natural language. 20:52 💻 Large language models are multimodal, meaning they can perform multiple tasks. 21:49 💡 Large language models are powerful because they can perform multiple tasks with a single model. 22:46 📈 Large language models can perform multiple tasks with a single model. 23:14 🤖 Introduction to Generative AI 24:24 📈 Generative AI Pipeline 25:22 📊 Data Acquisition 28:27 📈 Data Collection Alternatives 29:51 🔄 Data Augmentation 31:59 🔄 Data Augmentation Techniques 35:40 📈 Data Acquisition Pipeline 36:08 🧹 Data Preprocessing 38:12 📊 Tokenization 39:23 🌎 Language Detection 41:11 💡 Tokenization & Text Representation 42:45 🔍 Steaming & Dimension Reduction 44:55 🔡 Lower Casing & Text Preprocessing 46:35 🔧 Advanced Preprocessing Techniques 49:51 📈 Feature Engineering & Text Vectorization 50:53 💻 Feature Engineering 51:47 📈 Modeling 52:15 🤔 Open-Source vs Paid Models 54:22 📊 Model Evaluation 55:18 📈 Extrinsic Evaluation 56:40 📈 Deployment 57:12 📝 Generative AI Pipeline 57:41 📚 Common Terms 59:38 📊 Data Preprocessing for Large Language Models 01:00:48 📈 IMDb Dataset Overview 01:02:12 📁 Uploading & Loading Data 01:03:35 📊 Data Shape & Columns 01:04:04 📊 Text Preprocessing Demo 01:04:46 📝 Text Preprocessing Techniques 01:05:13 ⬇ Lower Case Operation 01:06:24 📝 HTML Tag Removal 01:07:06 📝 Notebook Template for Functionality 01:07:35 🔄 Applying Functions to Data Sets 01:08:01 🚫 Removing HTML Tags & URLs 01:09:29 💡 Handling Punctuation 01:11:36 📊 Handling Chat Conversations 01:13:15 📝 Handling Incorrect Text 01:13:57 🚫 Handling Stop Words 01:14:25 📝 Understanding Stop Words 01:16:43 🚮 Removing Stop Words 01:17:38 🤖 Handling Emojis 01:19:46 📊 Tokenization 01:20:29 📄 Sentence-Level Tokenization 01:21:54 📝 Using Tokenization in Code 01:22:08 📝 Text Preprocessing Techniques 01:24:08 📊 Importance of Text Preprocessing 01:25:04 📈 Data Representation 01:26:28 📊 Feature Extraction 01:27:41 📊 Why Feature Extraction is Necessary 01:29:19 📊 Challenges of Feature Extraction 01:30:13 📊 Tabular Data in Machine Learning 01:31:54 📸 Image Data in Computer Vision 01:34:40 🎵 Audio Data Representation 01:36:18 📄 Text Data Representation 01:38:24 📊 Converting Text to Numerical Representation 01:39:21 📝 One-Hot Encoding Technique 01:44:20 📊 One-Hot Encoding Example 01:46:36 📈 Creating a Neural Network with One-Hot Encoding 01:47:59 📊 One-Hot Encoding Drawbacks 01:52:26 📈 Bag of Words Technique 01:54:59 📊 Bag of Words Limitations 01:56:45 📊 Techniques for Text Representation 01:57:41 🤖 Transformer-Based Encoding Technique 01:58:09 💻 Practical Demonstration of Bag of Words 01:59:48 📈 CountVectorizer & Bag of Words 02:02:31 📊 N-Grams & Bag of Words 02:04:35 📊 Understanding N-Grams for Sentiment Analysis 02:06:37 📈 TF-IDF for Text Representation 02:09:06 🤖 Word2Vec for Deep Learning 02:10:05 📊 Word2Vec Feature Extraction 02:12:37 📊 Generating Vectors for Entities 02:15:07 📈 Visualizing Entity Relationships 02:17:04 💡 Understanding Semantic Information 02:18:28 📊 Experimenting with Word2Vec 02:19:09 📊 Practical Application of Word2Vec 02:20:56 💻 Importing Libraries & Loading Data 02:22:27 📊 Data Preprocessing & Tokenization 02:23:49 🤖 Similarity Analysis & Character Matching 02:25:02 📈 Visualizing Similarity & Relationships 02:27:09 💡 Understanding Semantic Relationships 02:27:52 🤖 Attention Mechanism in Transformer Architecture 02:28:20 📚 Preparing Data for Large Language Models 02:28:48 📊 Text Classification Project 02:29:29 📊 Introduction to Text Classification 02:30:14 📈 Data Import & Preprocessing 02:33:02 🚮 Data Cleaning 02:35:08 📊 Data Preparation 02:36:05 📈 Feature Extraction 02:37:15 📊 Text Classification with Machine Learning 02:38:27 📈 Feature Selection 02:39:51 📊 N-Grams 02:40:31 📊 TF-IDF 02:41:41 📚 Text Classification with Machine Learning 02:42:10 🤖 Large Language Models 02:44:02 💻 Large Language Model Architecture 02:45:13 🤖 How Chat GPT was trained & works 02:46:10 📈 Transfer Learning 02:46:52 📊 Transformer Architecture 02:48:44 💻 Large Language Models 02:51:06 📚 Examples of Large Language Models 02:53:24 📚 Large Language Models & Their Characteristics 02:54:47 🤖 Transformer Architecture 02:55:30 📝 Encoder-Based Architectures 02:55:57 💻 Decoder-Based Architectures 02:56:25 📊 Models Using Both Encoder & Decoder Layers 02:56:40 🌐 OpenAI Models 02:58:05 🤝 Open-Source Large Language Models 02:59:41 📝 Applications of Large Language Models 03:00:10 💡 Prompt Engineering & Designing 03:01:05 📝 Types of Prompts in Large Language Models 03:02:59 💡 Importance of Prompt Engineering 03:03:14 📊 Transformer Architecture 03:05:05 📈 Understanding the Transformer Architecture 03:07:06 📊 Components of the Encoder Layer 03:08:02 📝 Text Preprocessing & Representation 03:08:44 🤖 How the input is encoded & passed through the self-attention layer 03:09:10 📝 Understanding the encoding process using a simple example 03:10:07 📊 Understanding self-attention at a high level 03:10:49 🔍 Understanding how self-attention works 03:12:12 📊 Understanding the weight initialization & update process 03:13:05 📝 Understanding the generation of queries, keys, & values 03:14:02 📊 Understanding the calculation of the score 03:15:11 📊 Understanding the softmax operation 03:16:06 📝 Understanding the multiplication of the softmax output with the values 03:16:33 🤖 Self-Attention Layer Operation 03:17:54 📊 Single Head Attention Limitation 03:18:10 🔍 Multi-Head Attention 03:20:05 📈 Multi-Head Attention in Transformer Architecture 03:22:41 📊 Positional Encoding 03:24:15 🕒 Positional Encoding in Sequential Data 03:25:52 📈 Residual Blocks in Transformer Architecture 03:27:28 🔄 Normalization in Transformer Architecture 03:28:38 📊 Entire Transformer Architecture 03:29:35 💻 Decoder Side of Transformer Architecture 03:31:16 📝 High-Level Understanding of Transformer Architecture 03:32:00 🤖 Transformer Architecture 03:32:54 💻 Large Language Models 03:33:37 📊 ChatGPT 03:34:47 📈 Training ChatGPT 03:37:19 📊 Generative Pre-training 03:38:17 📈 Supervised Fine-tuning 03:39:52 🤖 Training the SFT Char GPT Model 03:43:08 💬 Understanding the Chat GPT Model 03:43:50 📊 Introduction to Hugging Face 03:45:00 📈 Exploring the Hugging Face Platform 03:47:34 🤖 Hugging Face Platform for Generative AI 03:48:45 📚 Key Concepts in Hugging Face 03:49:57 💻 Hugging Face Services & Features 03:51:07 📊 Open-Source Large Language Models 03:51:49 📚 Learning Hugging Face & Generative AI 03:52:03 📊 Hugging Face Datasets & Libraries 03:53:26 📈 Hugging Face Spaces & Documentation 03:54:52 📊 Introduction to Hugging Face 03:55:18 🤖 Using Hugging Face with Python 03:56:16 💻 Setting up Google Colab 03:57:12 📈 Exploring Hugging Face Models 03:58:18 📊 Using the Pipeline Functionality 04:00:06 💡 Performing Sentiment Analysis

[@lilithkarri4395]

❤

[@ashflowx]

May God save you from hellfire

[@AnshumanRathore]

Please share your notes taking app ??

[@narayanansreenivasan2558]

Was this generated timelines??

[@anurajshush4531]

please add more in your replies please!!

[@Saniya123ok]

For those judging and laughing at his accent, take a moment to look at yourselves and laugh even more.., because he is at least making an effort to explain and teach... He has taken the initiative to educate us on such a trending topic. Despite being younger than many of you, he is confidently standing there and teaching. It takes time, effort, and courage to be in that position. Instead of judging, appreciate his dedication. Thank you, sir, for this amazing video! I learned a lot!😇

[@aliakbaramirkhani3265]

God bless him... I wholeheartedly appreciate him and his efforts to release his knowledge to public.

[@Saniya123ok]

@aliakbaramirkhani3265 Aameen

[@judzam78]

Of what use is it to have a fancy accent and still be ignorant? People need to grow up and appreciate the kind gesture of sharing such invaluable info.

[@javierleyba]

Man, if that guy wants to teach other people, he should understand that he is speaking for others outside his world. He has a very hard and closed accent that becomes worst because he speaks very fast. English is not my native language and I thought he was speaking japanese or zulu when started to watch the video. He should try to speak slowly and attenuate his accent to make it more acceptable for the world. If not, his effort (that I appreciate) is a waste of time.

[@Saniya123ok]

@@javierleyba Bro the problem is in you then, if you are not able to catch his words, fix yourself, or else watch in 0.75x speed. He didn't tell that his videos have to reach over the world.

[@amira_369]

My baby steps progress as I'm busy Day 1 (22 Nov 2024): reached 1:39:17 Day 2 (26 Nov 2024): reached 2:42:06 Day 3 (27 Nov 2024): reached 4:06:09 Day 4 (1 Dec 2024): reached 4:19:06 Day 5 (2 Dec 2024): reached 4:42:34 Day 6 (3 Dec 2024): reached 5:09:54 + 75% of Project 1 implementation Day 7 (4 Dec 2024): reached 5:29:24 Day 8 (5 Dec 2024): Project Text to Speech done, still debugging Project 1 Day 9: (17 Dec 2023) reached 6:15:11 + Project text to Image + OpenAI demo code implementation

[@ar3568row]

Keep updating, I'm seeing your progress 👁️

[@sunilverma-ry8yn]

Pre requisite to start???

[@amira_369]

⁠@@sunilverma-ry8ynPython, Maths, Data analysis with python, Machine Learning, Neural Networks

[@csmt12]

How're you finding it?

[@amira_369]

@@csmt12 Very beneficial so far

[@MarkLewis00]

Great video keep going! do explore the ecosystem of CrewAI, OpenAI or LLama & Composio & Helicone, it's my personal favorite

[@evolutionarybiology7875]

Thank you so much free code camp for everything you have blessed upon us. Humanity is indebted to you what you have done to educate compute science enthusiasts.

[@visiion1998]

What are the prerequisites for learning this Generative AI course?

[@cicd]

Thanks!

[@marktoledo6595]

I completed the entire thing and it took me 7 days to complete this. I appreciated the simplicity of the projects, they're doable and practical. Each day during the christmas holiday season, I am devoting 2-4 hrs of learning time with x2 speed. Debugging in the project sections is a separate thing. Kudos to you for curating this. It surprises me that this field is innovating really fast that the libraries become outdated within months considering this is a recent upload. I spent around $0.40 throughout the implementation of all these. Not even a dollar! (i didn't try the Colab Enterprise tho so Im not sure of the costs there) Thank you and good luck to all trying to complete this!!

[@pushkarsinghadhikari6060]

I know c++ and flutter.... but I want to learn Ai gen .... can I learn from this video..without any prior knowledge of AI or ml...within 2 weeks... please answer.

[@pushkarsinghadhikari6060]

@@marktoledo6595 reply pls

[@PruthviRaj-z2g]

Great! Another video I'll add to watch later and never finish! Happy Deepawali folks🎉❤

[@Vishal-ch7eb]

😂😂😂

[@xade8381]

Make a separate playlist for this channel, playlist containing less videos might help. Just a Diwali tip.

[@abhaypundora6841]

Happy deepawali ❤

[@swarupthipe2515]

That's soo true 😢

[@MrEdavid4108]

😂😂😊😂😊

[@AK-ox3mv]

Yesterday I wanted to learn about GenAI and I was looking in FCC but didn't find what i was looking for. And here it is👌 In "2 minutes paper" words: What a time to be alive!

[@rafsanbhuiyan]

You will build our career!! Thank you so much 😊 This is such a fantastic contribution to the tech community. You have no idea!!! I look forward to completing this course ASAP.

[@AKHILSHARMA-h2e]

1:00:20 Data Preprocessing 1:25:14 Data Representation 2:29:12 Text Classification Practical 2:42:08 L L M 3:03:32 Attention architecture 3:34:34 how ChatGPT is trained 3:44:04 Hugging face Platform 4:10:34 Tokenization in hugging face

[@darshank8611]

Bro how much python knowledge is required to learn this course?

[@darshank8611]

@AKHILSHARMA-h2e

[@AKHILSHARMA-h2e]

@@darshank8611 I have only watched till the time-stamps mentioned above, you can start if you understand python and basic python libraries for python.

[@ScripturedMind]

Almost an hour in, and I'm loving it, thank you very much.

[@paulcatuna6949]

First time I changed my playback speed to 0.75 and didn't regret it :)). Great content 👏👏

[@KonfliktProduktionz]

I saw this and you're right lol

[@mimosveta]

because of dense accent, or dense content?

[@KonfliktProduktionz]

@@mimosveta both

[@TommyAlanRaines]

@@mimosvetaNot accent or content, it’s absolutely candy rush caffeine buzz talking fast. I typically will sped up some courses, this one I don’t have to.

[@RexAnimus]

Saw this and set mine to 0.85. Couldn't keep up with how fast he was speaking.

[@ayudameme5203]

Day0 03/11 00:00 - 49:51 1. Data Acquisition : Available Data (csv, pdf, txt) Other Data (database, scraping) No Data (create data using llm) But in this scenario the data might be less and then you need to perform Data Augmentation Data Augmentation - making small changes to the og data to create new data instances (replace with synonyms, bi-gram flipping (swap adjacent words), back Translate (translating to another language and then translating back), add additional data/noise) 2. Data Preprocessing: Clean up (html, emoji, spelling correction) Basic preprocessing (tokenization (sentence level, word level), stop word removal, stemming, lemmatization, punctuation removal, lowercase, language detection) Advanced preprocessing (Parts of speech tagging, parsing, Coreference resolution) 3. Feature Engineering (text vectorization) 4. Modelling

[@devinpatel7869]

Best video on GEN-AI. Will see full video .

[@joaomarcelo7874]

O bought a course froma man who.his accent is like that. Is a little bit hard to understand but a little effort for ot is worth. Thank you for the video !!!

[@technolinguist]

I was having trouble following him. So, I adjusted the speed of replay to 0.8 and that made it much easier.😀

[@collecttospreadcts4930]

You guys are blessing for the world.Thank You...❤️

[@tarunsrinivas7614]

please like so i could complete the course faster Day 1: 27:00 Day2: 1:09:47

[@MdAmirShohail]

Great work for your free service. Thanks for your support for needies.

[@saadullahkhanwarsi5853]

You people doing amazing work, hats off to you guys❤

[@Damilare700]

The instructor opening is lit 😂

[@stackgeek5530]

True, I thought suddenly AD started

[@AutumnBrazzle]

enterprise-ai AI fixes this (Code complete projects in PHP or Python). Comprehensive Generative AI course preview

[@supertab365]

Fixes what

[@Youbloompretty]

People in the comment section doesn't want to pay for expensive courses and still cant appreciate the content they are getting for free and the efforts made for creating the video. Just pause the video if it's too long for you, and start from there again. And if it is too much of a thing for you then don't expect a playlist from the youtuber as well. 😮‍💨

[@Theaphilius_Mythology_Channel]

That is amazing, thank you so much! :D

[@raviv1752]

Thank You for Deepavali gift ❤

[@custodeo]

Ty so much! I really appreciate you share your knowledge ans expertise!

[@mohammedhafiz8039]

This comes right on its time :) Thank you

[@Mazar-b5o]

Thank you so much, i was looking for something like this.

[@ajmalhasan2015]

Amazing content, easily understandable by new bie also.

[@shivakumarkannan9526]

Excellent explanation on transformer architecture

[@HimanshuSrivastav-q3q]

This is exactly what I want . Thankyou

[@AjaySharma-dg7cc]

40:00 completes first 40 min, and it is interesting and understandable too till now.

[@rajkochale3403]

Piyush bhai tum yaha😂😂

[@AjaySharma-dg7cc]

@rajkochale3403 piyush?

[@hassani6955]

Amazong Video! His way of explanation is great! Read some comments on his accent, thats a bengali accent, the tutor is a Bangladeshi tutor. His way of explanation is awesome. His speed is stressful but you can always watch it on 0.75 to understand easily.

[@AIerapromptisfuturesolution]

Thank you sir for your efforts who learning AI it's very helpful

[@singh2202]

appreciate your hard work thank you

[@patrupisicivesele]

Dude will learn and be a master llm engineer and then make a 21h course, but wont lose the accent. Love the determination! Much love !

[@athreadpool]

I treat it as bad teachers and zero respect

[@OkarinHououinKyouma]

If you can't handle the Bangladeshi accent then don't watch this video.

[@OkarinHououinKyouma]

​@@athreadpoolEnglish is spoken around the world, you cannot expect a Bangladeshi to understand the Irish accent.

[@IJSayin]

Would you loose your accent to go teach in their country if you were paid enough? No.

[@Project1nol]

​@@IJSayinif actually "paid enough" than the answer is "yes".

[@Lib_Gen]

great video on diwali day....awesome

[@ShishirTiwari-w8z]

What are the prerequisite before watching the video

[@peakyblinders3883]

great opportunity ❤

[@shivbhatra8792]

Thank you for your hard work❤. Watch in 0.75x 😂 otherwise 😢

[@KishanDahiya216]

@38:43 To those who are confused it's "stemming". I thought the guy was pronouncing it wrong but he literally wrote "Steaming"!

[@klaaskay2685]

Thanks!

[@muditgupta4563]

Can anyone suggest me what are the prerequisites to start this tutorial

[@khanfraqpa]

Plz tell

[@immanuelsuleiman7550]

How dare you take up the next 24 hours of my life like this!!! 😂

[@Javier79ism]

I thought they were joking about the 0.75x speed. Thanks YT developers for this functionality 😊

[@visiion1998]

What are the prerequisites for learning this Generative AI course?

[@Omunamantech]

Damn, I am waiting for this :D Cool

[@sarcasticdna]

as an Indian even I can't understand few phrases please add subs and cheers to the creator

[@asaduzzamansunam9845]

He is a Bangladeshi Creator

[@mimosveta]

omg, please add subtitles, this guy has even more of an accent than I do, and I absolutely sound more like I'm throwing hatchets, than speaking

[@ivantan222]

Yeah, as a non-english speaker, it's hard to understand what he's saying. It took me quite a while to realize that when he says 'jedibai' he actually means 'Generative AI'.

[@Me.and.I.Photography]

@@ivantan222thank goodness you clarified that for me - I honestly was totally unsure of what he was saying for the first few minutes.

[@himkhy]

Interesting this course ❤

[@prathikkumar6823]

Thank you so much!!

[@saadrazi1282]

Oliver’s favorite word: “Okay”

[@Jake-hn6yt]

Yeah sorry I can’t do this accent😢 will try a different video 😅

[@hroman_codes]

It was hard for me as well but I slowed down the playback speed and it helped. Not perfect but enough to grasp what he is saying.

[@AK-Star007]

Here goes my next few weeks 😊

[@hamzanaqvi82]

Hell Yea, yall the goats fr

[@aryatrivedi7358]

50:00 feature engineering 1:48:00 one hot Encoding

[@not_amanullah]

this is helpful🖤 🤗

[@sajidsarder-v5i]

love from Bangladesh

[@harisdilawar]

decent course. suggestion to add a small session on voice agent or any audio stream introduction to understand voice agents powered with llms.

[@TheNzjojo]

I recommend turning on the english subtitles!

[@vadimsmamedovs]

thank you a lot!

[@snapninjasquad_ad-e3t]

Can you make your own llm mode trained by own data like chatgpt and also make the video plz

[@tarun_techmastery]

7:48:01 / 21:11:20 completed. Spent Friday and Saturday.

[@gulamgaus7365]

how was the tutorial?? is it helpfull to get internship?

[@chetanchoudhary485]

I appreciate the time and effort you putting in your work to provide us best quality knowledge. I also want to invest my time into to learn this high paying skill that makes me a high valuable assest in tech industry but before that i want to know whether this video is only focused on theoretical knowledge or along side also build practical projects? Hope to get response from you, so that I can schedule my next week. Till then, See you, Have a Great Night, Morning or Evening!!

[@ms16084u]

Very useful video

[@sherazmalik9647]

What is the difference between this 20 hour course on gen Ai and the other 30 hour course on the same on this channel? Which one should one follow along with?

[@reflexgaming6630]

Finally 🎉

[@dmforcode]

🔥🔥🔥🔥🔥

[@suvrajitmondal2325]

What is the prerequisites to watch this video? Do I need to know python?

[@createworldsdancing]

I go for learning python ( and more languages, so to Code ( more than some CSS tweaks inserted or changed) by this course ! He did incredible breakdown fast grasp work for us !

[@not_amanullah]

thanks ♥️

[@Movie-galore-it5fy]

Just found a video to keep me up for the next 2 or 3 months...Target is to become a master of LLM

[@rohitkhadka2093]

Hi Bappy @dswithbappy I am planning to work on Mental Health AI chatbot. Where do I get the dataset from? Can you please suggest me a efficient source? Thank you

[@NafisAnsari-vr2xq]

Any prerequisite to jump into GenAI? I'm familiar with ML core concepts and algorithms. Would appreciate some insights from fellow learners and experts

[@YonasBehailu]

Thanks🎉🎉

[@tejassurse9475]

Thank you

[@GameCode-99x]

Vote for new C++ comprehensive course

[@Errors404]

Free code Camp has another gen ai course. So why a new one? is the prev one bad or outdated?

[@peakyblinders3883]

prerequisites for this course?

[@mdareefuddin2196]

Thanks sir

[@rameshsimhadri4884]

How Wq,Wk,Wv matrices are generated? what are the inputs and outputs to these matrices?

[@vicp8210]

What is the difference between the previous and This Generative AI course?

[@Vik178-c1y]

Did anyone complete this course? Could you able to provide feedback?

[@Aniket_0314]

I don't know why everyone is bragging about his accent. I am watching it at 1.5X and still able to understand him.

[@santoshkumar-wq4qd]

My mom allowmed to me to seel 1 more video before going to bed

[@prasantjoshi723]

What are the prerequisites for this course?

[@harshithdesai9989]

does this course cover the full generative ai course?

[@fahadahmad3579]

what are the prerequisite for this course? i am djangao developer but don't have any experience in AI or ML or DL.

[@MrPantoflas]

13:13:01 falcon is indeed crazy

[@sahild6584]

In just 12 minutes of publishing video you reached 13 hrs of video awesome

[@pankajkumar-mu6uj]

😂

[@smartcricofficial7622]

​@@sahild6584😂😂😂

[@jasjyotsingh2007]

Can someone tell me if I can use LLAMA 3.2 for doing code shown on LLAMA 2

[@hybridboi5002]

can anyone tell if this is a good video to get started? and if yes, what is the next step after finishing this video

[@redantcyber3965]

I think this one of the proper, if it not the best, generative ai tuts around on internet. He explains the fundamental very clear and easy to understand. After finishing this video: practice, practice, and practice. It's depend on your goal though.

[@easypeasy2938]

yeah no....would love to take this course...need to take this course but I can't understand him. Is there a way that AI could transcribe and then repeat in understandable English? too bad there's not a course I could take to answer my own question.

[@easypeasy2938]

@ Tried it at .75. Still tough to cut through the accent. I can tell his course would be interesting but I learned in college the ease of communication is vital to learning. I’m sure his lecture would be amazing in his native tongue.

[@rameshsimhadri4884]

unable to install llama.cpp. Not able to find the file 'how to run llma.ipynb' file in the Gihub

[@iseeflowers]

Did he show the end results of the projects?

[@shashankpandey1966]

Is this cover deployment ?

[@NotesandPens-ro9wx]

Bappy bro how to make it work with proxy? also executor is removed from the library, please update the code

[@senormarti]

The accent and fast speech makes this borderline impossible..

[@varaknus9103]

Are you gonna use a discriminative model or a predictive model to keep up 😂 15:37

[@tarascoterry]

As another comment pointed out, changing your playback speed to .75 helps a lot.

[@moha.arlaadi]

wait is it 21 minutes or 21 hours?😃

[@teddysalas3590]

Do i need to pay for openAi?

[@shahabfakhri-y2n]

awesooooooooooooooome