How I built a Multi-PDF Chat App with FASTEST Inference using LLAMA3+OLLAMA+Groq|FULLY LOCAL Option
Join us as we harness the power of LLAMA3, an open-source model, to construct a lightning-fast inference chatbot capable of seamlessly handling multiple PDF documents.
In this tutorial, we'll leverage Groq, a revolutionary "Language Processing Unit" (LPU) inference engine, to supercharge LLAMA3's performance. With the help of Nomic-embed-text via OLLAMA for efficient embedding and Chromadb as our embedding model, we'll achieve unparalleled speed and accuracy.
But that's not all! We'll also show you how to recreate this high-performance setup locally, utilizing Ollama for both LLAMA3 and embeddings.
Throughout the video, we'll guide you through each step of the process, using Chainlit as our framework of choice. Whether you're a seasoned AI enthusiast or just starting out, this tutorial is perfect for anyone looking to enhance their skills in AI development.
And if you're hungry for more, don't forget to check out our other videos on using open-source LLMs to build and interact with chatbots.
Ready to delve into the architecture behind advanced AI systems? Let's get started!
#ai #generativeai #langchain #llama3 #ollama #localllms #chatbot #llm
#largelanguagemodels
Blog:https://www.dataedgehub.com
LINKS:
Code:https://www.dataedgehub.com/2024/08/h...
Github Code:https://github.com/InsightEdge01/Mult...
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