LangServe: Deploying Mistral-7B RAG to Production
Join us live to learn how to go from prototype to production with LangServe and Mistral 7B!
It is well known that LangChain is an excellent tool for prototyping complex LLM applications, including Retrieval Augmented Generation (RAG) systems.
Once a prototype is ready, however, it must be deployed to production. This is the problem that LangServe was built to solve - easily deploying chains as REST APIs. LangServe leverages the LangChain Expression Language (LCEL) for this, which provides an elegant, intuitive, and powerful syntax for composing huge chains together.
Within any RAG system, underlying embedding models and LLM must be used.
In this event,
We’ll leverage the greatest embeddings from Hugging Face and Mistral 7B, the most performant open-source model available today.
We’ll explain how LangChain and LangServe interact with the production LangSmith platform to streamline debugging, testing, evaluation, and monitoring of production LLM applications.
Concepts and code will be shared with all attendees.
While this is an advanced technical workshop, we encourage all to join and start learning.
This event is great for:
LLM practitioners who want to deploy RAG applications to production with LangServe
Aspiring AI Engineers who want to build a RAG application with Mistral 7B
Learners looking to understand the LangChain ecosystem, from LCEL to LangSmith
Instructors:
Dr. Greg Loughnane is the Founder & CEO of AI Makerspace, where he serves as lead instructor for their LLM Ops: LLMs in Production course. Since 2021 he has built and led industry-leading Machine Learning & AI bootcamp programs. Previously, he has worked as an AI product manager, a university professor teaching AI, an AI consultant and startup advisor, and ML researcher. He loves trail running and is based in Dayton, Ohio.
Chris Alexiuk is the Head of LLMs at AI Makerspace, where he serves as a programming instructor, curriculum developer, and thought leader for their flagship LLM Ops: LLMs in Production course. He is a solo YouTube creator Dungeons & Dragons enthusiast based in Toronto, Canada.
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