In this video, we will create a chatbot based on GPT-3 powered Natural Question Answering BOT on any Website using LangChain. We will combine the concepts of Embedding, Information Retrieval and VectorStore to create a powerful information retrieval system for your website.

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OpenAI API Pricing: [ Ссылка ]
OpenAI Models: [ Ссылка ]
FAISS: [ Ссылка ]

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Langchain is a powerful open-source Python (and Javascript) framework that allows you to build applications with LLMs and text embeddings. With Langchain, you can easily train GPT on your own data and create a personalized LLM that can answer questions and generate text.

In this tutorial, we will walk you through the process of building an application with Langchain using Streamlit. We will dive into Langchain and its features, including its ability to train GPT on documents and text embeddings.

We will show you how to create a Text Embedding model for your application using Langchain and how to integrate it into your project. You will also learn how to train GPT on PDF documents and fine-tune it to your specific use case.

Throughout the tutorial, we will be building a fully functional application that allows you to upload a PDF file, ask questions about it directly, and have an LLM answer for you. We will use the powerful capabilities of Langchain to create a seamless user experience and showcase the framework's many possibilities.

Langchain is a versatile framework that can be used in many applications, from chatbots to document analysis. We will show you how to leverage Langchain to create powerful applications with Streamlit that can help automate tasks and improve efficiency.

If you're looking to take your natural language processing skills to the next level, this tutorial is a must-watch. Learn how to build powerful applications with Langchain and chat with GPT about your PDF files. So, what are you waiting for? Let's get started with Langchain!

All Interesting Videos:
Everything LangChain: [ Ссылка ]

Everything LLM: [ Ссылка ]

Everything Midjourney: [ Ссылка ]

AI Image Generation: [ Ссылка ]

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