WEBINAR: RAG Evals: Statistical Analysis of Retrieval Strategies. Oct 05, 2023 09:00 AM Pacific, Oct 05, 2023 12:00 PM Eastern
Zilliz Webinar – Zoom
About this Session
One of the most common use-cases for creating a LLM application is to connect an LLM to proprietary data such as enterprise documents. Vector Stores enable teams to connect their own data to LLMs. A common application is chatbots looking across a company’s knowledge base/context to answer specific questions. However, before these LLM apps get pushed to production, teams need to evaluate the performance of not just the retrieval, but also the responses.
- How LLM assisted evaluations work
- Statistical analysis of different retrieval strategies
- How to leverage an Evals library
Meet the Speaker
Join the session for live Q&A with the speaker
Jason Lopatecki is co-founder and CEO of Arize AI, a machine learning observability company. He is a garage-to-IPO executive with an extensive background in building marketing-leading products and businesses that heavily leverage analytics. Prior to Arize, Jason was co-founder and chief innovation officer at TubeMogul where he scaled the business into a public company and eventual acquisition by Adobe. Jason has hands-on knowledge of big data architectures, programmatic advertising systems, distributed systems, and machine learning and data processing architectures. In his free time, Jason tinkers with personal machine learning projects as a hobby, with a special interest in unsupervised learning and deep neural networks. He holds an electrical engineering and computer science degree from UC Berkeley – Go Bears!
Sally-Ann DeLucia is a ML Solutions Engineer at Arize AI, a leader in ML observability. A passionate machine learning enthusiast and deep learning specialist, she holds a master’s degree in Applied Data Science. Delucia combines a creative outlook with a dedication to developing solutions that are not only technically sound but also socially responsible.