In this video, we'll look at how to build a local PDF chatbot using Llama 3, the latest open-source language model from Facebook. Join my AI Newsletter: [ Ссылка ]
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Llama 3 is a powerful new language model that opens up exciting possibilities for building intelligent chatbots and question-answering systems. In this tutorial, we dive deep into the process of creating a PDF chatbot that can engage in meaningful conversations about the contents of a given document. From setting up the development environment to fine-tuning the model's responses, we cover all the key steps involved. We also explore some of the current limitations of Llama 3 and how to work around them to create a robust and engaging user experience.
Whether you're a developer looking to explore the capabilities of Llama 3, or a business interested in building document-based chatbots, this video has something for you. So join us as we push the boundaries of what's possible with generative AI and create a truly intelligent PDF chatbot!
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#llama3 #rag #localchatbot
We'll walk through the code and setup required to get it running on your own machine, using the Langchain library and Streamlit for the user interface. Along the way, we'll discuss some of the challenges encountered, such as the model responding endlessly, and potential solutions to address them.
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I Built a LLama-3 RAG PDF Chatbot
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