Search result for:
Matt Casey
Title: Data Science Content Lead
Company: Snorkel AI
Bio
Matt Casey leads content production at Snorkel AI. In prior roles, Matt built machine learning models and data pipelines as a data scientist. As a journalist, he produced written and audio content for outlets including The Boston Globe and NPR affiliates.
The latest from
Matt Casey
LLM-as-judge for enterprises: evaluate model alignment at scale
Discover how enterprises can leverage LLM-as-Judge systems to evaluate generative AI outputs at scale, improve model alignment, reduce costs, and tackle challenges like bias and interpretability.
Retrieval-augmented generation (RAG) failure modes and how to fix them
Discover common RAG failure modes and how to fix them. Learn how to optimize retrieval-augmented generation systems for max business value.
What is large language model (LLM) alignment?
Learn about large language model (LLM) alignment and how it maximizes the effectiveness of AI outputs for organizations.
LLM evaluation in enterprise applications: a new era in ML
Learn about the obstacles faced by data scientists in LLM evaluation and discover effective strategies for overcoming them.
AI data development: a guide for data science projects
What is AI data development? AI data development includes any action taken to convert raw information into a format useful to AI.
SnorkelCon 2024: Inaugural Snorkel AI user conference gathers leaders from 30+ Fortune 500 companies
Discover highlights of Snorkel AI’s first annual SnorkelCon user conference. Explore Snorkel’s programmatic AI data development achievements.
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