To the point. Well done Aman.

Wow..simply superb

perhaps, the best RAG explanation on RAG model

Verywell explained but title should be changed to opeai. RAG is explained greatly!

as always precisely perfect...

THank you Sir, awesome

Just Perfect! BUT, Aman! Please make a lecture on how to train our own machine learning model based on a CSV dataset (classification), run it on the Huggingface/AWS-cloud, and integrate it with the LLMs (probably using RAG for best response). I want to create an alerting system in which the driver should be alerted if he approaches to an accident-prone area (based on the prediction of the ML model and the live location of the driver, possibly received from google map API). I think many APIs should be integrated, such as Google Maps for providing live stream of data and the road conditions, the Fast API/Flask, and many more that you know better. Thank you!

Aman - this is great. yes we need videos on LangChain.

Thanks a lot Aman. probably best explanation of RAG for beginners like me. Waiting for your langchain video

Nice video explain langchain in detail for beginners with zero knowledge

You are awesome. Do videos on langchain.

Hi aman, this is simply superb, could you please do a video on complete end to end RaG with Agents, Thank you

What are the types of RAG's? Can you make a video on indept?

Please create a separate video on Langchain

very informative video, i was wondering which retriver model you use

Never heard about langchain, very informative video. Also, I wanted to know if you have any suggestions for implementing a time series models?

Can you explain what are the critical interview questions on gen ai?

Awesome video! Sir are you working in TCS? 😅

thanks and yes please explain more about retriever part 15:58 . my other question is do i have to embed the documents each time i execute the program, probably not but how to avoid it?

Not aware with langchan and please take end to end real time project but cover everything from scratch like creating environment and all .

Very informative Aman, Could you please make one end to end real time llm model using Lang chain in detail.

@UnfoldDataScience

4 ай бұрын

Thanks anil, sure

Thanks Aman for great video. However, there are some questions that went unanswered. Your video title mentions using hugging face but you used openai. Do you know what hugging face model can give us similar analysis? Another question and a very important one is that let's suppose we are using an excel sheet data base. Now I want to create a chatbot that can answer me questions like what is sum total of the amount? I am sure openai understand what sum total means so it will simply sum it and give us that. But what if i want some custom operation on the amount field which openai doesn't know but i want it to fetch data from the sheet, check for custom function in my python code and apply that fucntion and give me output? Traditionally, we do that without LLM where our code pulls data and perform operation. But how to do that utilizing open ai. I hope you get my question.

how do we use prompt template when using "create_conversational_retrieval_agent"

While i am trying to integrate openai embeddings i get this error as need to pip install sentence transformers ..

Hello sir please make seperate video on langchain framework.., I am waiting..

Hi Aman, Your videos are very good, but can you do a simple video where we need minimum model required to perform these programs, I believe you are using paid versions where we cannot have access to practice,..appreciate if you give us more such details for practicing the smae

where can I find the codes it is'nt available in the gdrive link!

Very informative video sir can you also share the source code in description of the video

Can I get the notebook please?

I can't find the code for this video. Can you please share.

Need langchain basics separate video

Hi sir I m not familiar with Langchain . Request you to please create videos on the same . Thanks in advance 🙏🏼

@UnfoldDataScience

Ай бұрын

Ok sure

I am getting an error: Error code: 429 - {'error': {'message': 'You exceeded your current quota, please check your plan and billing details. , is anyone else facing the same issue. It has something to do with OpenAI API limits. Please let me know if anyone has any solution for this.

@rp006545

Күн бұрын

Same here , i am also getting same error for me as well. i have created API key in openai site. It is getting same error as above.

Where is the jupyter notebook? Not able to find it in the drive.

@cha5848

2 ай бұрын

hey did u found the notebook?

BadRequestError: Error code: 400 - {'error': {'message': "'My Fav Book Atomic Habits' does not match '^[a-zA-Z0-9_-]{1,64}$' - 'functions.0.name'", 'type': 'invalid_request_error', 'param': None, 'code': None}} i got this error in last line of code can you help me solve this

@varunmadhavan3227

2 ай бұрын

Same error.

@atulkishore9159

2 ай бұрын

​@@varunmadhavan3227 Try storing keys in a separate file in the jupyter notebook and then call it in your notebook using os. This might solve this issue. Best of luck.

I am facing issues while using API key. where and how i can get this OPENAI_API_KEY for free ?pls help

@UnfoldDataScience

Күн бұрын

Need to create using own account

Please build few complex ones with comples use cases like in real time project. It really help everyone @unfolddatascience