L-4 Step-by-Step Guide to Building a ChatGPT Clone

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In this step-by-step guide, I'll show you how to build your own ChatGPT clone using LangChain, OpenAI API, and Streamlit. Whether you're a beginner or an experienced developer, this video will walk you through the entire process, from setting up your environment to deploying your chatbot.

Code Repository:

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In this video, you'll learn:

How to set up and configure LangChain.
How to integrate the OpenAI API for chatbot functionalities.
How to use Streamlit to create a user-friendly interface.

#chatgpt #llms #generativeai #openai #openaiapi #languagemodels #langchain #gpt #gpt3
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One more video, packed with all the information, explained in simple terms. 👏

AkulSamartha
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We can not thank you more than praying for you madam, God Almighty will continue blessing you the great job you are rendering through this your YouTube channel

Kishi
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Mam Please make video on Fine tunning and make one end to project on fine tunning please

Umairkhan-jp
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Ma'am, in your application, you are simply appending the user message and the response from the model to the session state. During the next user input, we pass this to the model to maintain the context window. But what if we have a long conversation? How can we pass all the messages to the model? Will it give an error as we will exceed the token limit (context window of the LLM)? Please explain.

btw Thanks ma'am your explanation is supeerrrbbb :)

Rits-lr
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Mam, please make videos on rag and fine tunning

vishnumadhav
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Can you share deployment also. I'm trying to deploy on streamlit but some cuda issues and error

CodewithRiz