WORKSHOP: RAG with a Feature Store

WORKSHOP: RAG with a Feature Store

Actions Panel

Ticket sales end soon

Join us for a 1-hour hands-on workshop and learn how to build context-aware LLMs with Featureform's Virtual Featureform!

By Shabnam MokhtaraniFollow

Date and time

Tuesday, October 17 · 12 – 1pm PDT

Location

Online

About this event

  • 1 hour
  • Mobile eTicket

Feature stores can be instrumental in managing and serving features that feed into LLMs. By pulling real-time data from feature stores, RAG can provide LLMs with context-rich data, enhancing the model’s ability to generate better and informed responses.

In this 1-hour hands-on workshop, we’ll build a QA chatbot with Featureform and Weaviate. We’ll leverage Featureform to define and serve our vector embeddings and Weaviate’s Vector Database to store them

  • Introduction to RAG: Understand how Retrieval Augmented Generation enhances LLMs by pulling real-time data.
  • LLM Performance Enhancement: Dive into strategies like improving prompts with RAG and fine-tuning LLMs.
  • LLM Workflow Components: Explore how Featureform’s virtual feature store plays a pivotal role in the LLM workflow.
  • Building a Q&A Chatbot: A step-by-step guide, from registering sources, transforming transcripts, and embedding transformations, to feeding prompts into OpenAI’s Davinci.

There will also be time for Q&A!

Report this eventTicket sales end soon
https://www.eventbrite.com/e/workshop-rag-with-a-feature-store-tickets-734283149667

Other events you may like