In this talk, our speakers Rafael and Puneet from ‪@Databricks‬ talked about the construction and optimization of LLMOps architecture. They discussed various components including MLFlow for Large Language Models (LLMs), Vector Databases, embeddings, and compute optimizations.

Topics that are covered:

✅ MLFlow for LLMs: Discover the role of MLFlow in managing and streamlining LLMs.

✅ Vector Databases: Learn about the importance of Vector Databases in the LLMOps stack. Get insights into how they can aid in efficient storage, indexing, and retrieval of high-dimensional vector data.

✅ RAG strategies and techniques

✅ Prompt Tracking & Evaluation: Learn how to evaluate LLMs and the key metrics and methods for evaluating the effectiveness of your large language models.

About LLMOps Space -

LLMOps.Space is a global community for LLM practitioners. 💡📚
The community focuses on content, discussions, and events around topics related to deploying LLMs into production. 🚀

Join discord: http://llmops.space/discord