Webinar: Building an LLMOps Stack for Large Language Models

Join us for an insightful webinar where Rafael and Puneet from Databricks will dive deep into the world of LLMOps. This session is designed to provide you with an in-depth understanding of the key components of building an effective and efficient LLMOps stack. 🚀

The webinar will primarily revolve around the construction and optimization of LLMOps architecture. Our expert speakers will discuss various components including MLFlow for Large Language Models (LLMs), Vector Databases, embeddings, and compute optimizations.

Topics that will be 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.

✅ Embeddings: Dive into the world of embeddings, exploring how they can effectively represent language in a way that machines understand.

✅ Compute Optimizations: Understand how to optimize your computing resources for better performance and cost-effectiveness.

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

Sign up here!

Written by

Rafael Pierre

Rafael has a track record of 15 years spanning software engineering, AI and solution architecture. He currently works as an ML & Software Engineer at Hugging Face. Before that, he started weet.ai to help customers unlock business value from Data and AI by leveraging his knowledge in MLOps, Deep Learning, Computer Vision, Large Language Models and Generative AI.