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

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

Enterprise GenAI to surge in 2024: survey results

Enterprise GenAI 2024: applications will likely surge toward production, according to Snorkel AI Enterprise LLM Summit survey results .

February 29, 2024

LoRA: Low-Rank Adaptation for LLMs

Low-rank adaptation (LoRA) lets data scientists customize GenAI models like LLMs faster than traditional full fine-tuning methods.

February 21, 2024

LLM distillation demystified: a complete guide

LLM distillation isolates task-specific LLM performance and mirrors it in a smaller format—creating faster and cheaper performance.

February 13, 2024
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