author
Data Science Content Lead
,
Snorkel AI
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
Blog
Anthropic Claude + AWS: revolutionizing pharma data analytics with Snorkel AI
Explore how Anthropic Claude + AWS help pharmaceutical companies leverage AI for enhanced data insights and revenue growth.
Blog
LLM-as-a-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.
Blog
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.
Blog
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.
Blog
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.
Blog
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.
Blog
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.
Blog
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.
Blog
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.
