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Explore the deployment and capabilities of Mistral AI's Mixtral 8X7B model in this 18-minute video tutorial. Learn how to set up and deploy the model, understand its required prompt format, and witness its performance as an AI agent. Discover why Mixtral is considered the first truly impressive open-source LLM, outperforming GPT-3.5 in benchmarks and demonstrating reliable agent capabilities. Gain insights into its MoE architecture, which enables fast performance despite its size. Follow along with code setup, instruction usage, special token implementation, and the integration of multiple agent tools. Conclude with an exploration of Retrieval-Augmented Generation (RAG) using Mixtral and final thoughts on its potential impact in the field of artificial intelligence.
Syllabus
Mixtral 8X7B is better than GPT 3.5
Deploying Mixtral 8x7B
Mixtral Code Setup
Using Mixtral Instructions
Mixtral Special Tokens
Parsing Multiple Agent Tools
RAG with Mixtral
Final Thoughts on Mixtral
Taught by
James Briggs