this is really helpful, please come up with some videos regarding excel macro dealing with gen AI

👍💯🙏

Your tech news video was awsome. please make another ones on regular basics 🎉

Hey krish bro, Is the groq completely free or there is any subscription or hidden charges?

Hi krish anna Can make a video using llama3 8b model with llama-index and chat engine because I need the ai is capable to document retrieval and general interactions. Is this capable to do

Who to use layiso comments in 2024

Your consistency is contagious ❤💯

Can you make a video on creating a bedrock chatbot using langchain and streamlit with multiple knowledge bases and to select a particular knowledge base with a scroll down menu.

When you recorded this sir❤

Can you make a video on serving LLM model BentoML

Check out the complete p[laylist of GenAI on AWS Cloud Playlist: kzbin.info/www/bejne/aJ7EgZSHqtmWjdU

Thanks for uploading it. One request to you- Can you please make videos on model quantization?

Krish Naik Respect Button❤

Where is the first video krish not able to find it 🥲

Great👍

Can we resize the video to be displayed on the webpage? If yes, do we set a size for the video container on the html page or resize the frames being sent from the function itself?

we all appreciate your help to our community

What work will be left for humans IT if everything Q can do ? Thanks for the reasearch❤

Thank you so much for the easy explanation of an obscure topic. 🎉🎉🎉🎉

The fact that everyone is doing ds and ml really concerns me 😢😢😢…. I am doing this cas the company i was placed didn’t onboard us and i have to go for another plan 😢😢

BoxKeyError: "'ConfigBox' object has no attribute 'prepare_base_model'" I am getting this error

i am getting error in this lines of code from llama_index import VectorStoreIndex,SimpleDirectoryReader,ServiceContext from llama_index.llms import HuggingFaceLLM from llama_index.prompts.prompts import SimpleInputPrompt --------------------------------------------------------------------------- ImportError Traceback (most recent call last) <ipython-input-17-3b2268858b27> in <cell line: 1>() ----> 1 from llama_index import VectorStoreIndex,SimpleDirectoryReader,ServiceContext 2 from llama_index.llms import HuggingFaceLLM 3 from llama_index.prompts.prompts import SimpleInputPrompt ImportError: cannot import name 'VectorStoreIndex' from 'llama_index' (unknown location) --------------------------------------------------------------------------- NOTE: If your import is failing due to a missing package, you can manually install dependencies using either !pip or !apt. To view examples of installing some common dependencies, click the "Open Examples" button below.

BSC data science maths hard hai Kya sir

Sir muje question hai

Prompt not working for me in jupyter notebook. Could you please suggest what shortcut can we use?

After the fine tuning process in this video, isn't it the same old model that is used here test the queries? We should have tested the queries with the "new_model" isn't it?

❤❤

Hi Krish, which language do you think is better for generative ai golang or python can you help me with pros and cons.

nice🙃🙃🙃🙃🙃

thanks a lot, Krish this is the simplest and most detailed video about PCA.

is this example RAG?

Thank you so much sir

my .txt file is not getting installed, what should I do

Do we have PostgresML for MYSQL?

please complete this series its been 8 days no new video

Krish always with latest research ❤

Code for region other than "us-east1-" s3 = boto3.resource("s3") try: if my_region == "ap-south-1": s3.create_bucket(Bucket = bucket_name, CreateBucketConfiguration = {"LocationConstraint":my_region}) print("Bucket Created") except Exception as e: print("S3 Error:", e)

Are you from Goa?

You're awesome.

I don't get how to calculate the information gain in XGBOOST. Here it is calculated with the submation of the weight similarity but also in previews sessions we calculated it with the help of gini and entropy? I'm a bit confused if someone could clarify this please :)

We all love your work buddy

Hi Krish, i Have seen entire video. i am confused with 2terms. some times you said its possible to train with my own data (own data refers from a url , pdfs , simple text etc) but when you are trying to train the llm model you are giving inputs as in certain format like### question : ans. Now if i want to train my llm in real life scenario i don't have my data in this instruction format right in that case what to do. And its not possible to transform my raw text to into that format right how to handle that situation . is it a only way to fine tune in specific format or i can train given in raw text format i know a process where i need to convert my text to chunks then pass to llm. those are really confusing can you clear those things

It's showing error in the last section (url to csv) Can anyone tell why so and how to take url and convert to csv

God bless you sir

Thankyou sir

I had a question Krish, while querying the vector database using similarity search function, is the embedding APIs used to generate embedding for the query and then comparing it to existing vectors to provide results?