Learn how to quickly deploy Mixtral and integrate it with popular AI frameworks in this 23-minute tutorial video. Discover the process of setting up a Mixtral endpoint that emulates OpenAI using Runpod and vLLM. Follow along as the instructor demonstrates how to incorporate this endpoint into a chatbot using Langchain. Gain insights on memory requirements, creating templates, deploying containers, and connecting to endpoints. This deployment method can be applied to various large language models, making it a valuable resource for AI developers and enthusiasts. Additional resources are provided for integrating with Llama Index, Haystack, and AutoGen, as well as information on AI career development and staying updated in the field.
Deploy Mixtral - Quick Setup for LangChain, AutoGen, Haystack, and LlamaIndex
Data Centric via YouTube
Overview
Syllabus
Intro to Mixtral:
Memory Requirements:
Runpod & vLLM Intro:
Create Template:
Deploy the Container:
Connecting to the Endpoint:
Integrating Endpoint in LangChain:
Taught by
Data Centric
