Matt Casey

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

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.

January 22, 2025

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.

November 25, 2024

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.

November 13, 2024

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.

October 22, 2024

Snorkel Flow 2024.R3: Supercharge your AI development with enhanced data-centric workflows

Snorkel AI has made building production-ready, high-value enterprise AI applications faster and easier than ever. The 2024.R3 update to our Snorkel Flow AI data development platform streamlines data-centric workflows, from easier-than-ever generative AI evaluation to multi-schema annotation.

October 9, 2024

RAG: LLM performance boost with retrieval-augmented generation

Retrieval-augmented generation (RAG) enables LLMs to produce more accurate responses by finding and injecting relevant context. Learn how.

August 15, 2024
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