Deploy Mixtral - Quick Setup for LangChain, AutoGen, Haystack, and LlamaIndex
Offered By: Data Centric via YouTube
Course Description
Overview
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.
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
Related Courses
Build a Natural Language Processing Solution with Microsoft AzurePluralsight Challenges and Solutions in Industry Scale Data and AI Systems - Yangqing Jia
Association for Computing Machinery (ACM) via YouTube An AI Engineer Guide to Comet Model Registry Platform
Prodramp via YouTube An AI Engineer Guide to Model Monitoring with Comet ML Platform
Prodramp via YouTube An AI Engineer's Guide to Machine Learning with Keras
Prodramp via YouTube