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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
RAG: Boost LLM performance with retrieval-augmented generation
Retrieval-augmented generation (RAG) enables LLMs to produce more accurate responses by finding and injecting relevant context. Learn how.
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 .
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.
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.
BERT models: Google’s NLP for the enterprise
LLMs have claimed the spotlight since the debut of ChatGPT, but BERT models quietly handle most enterprise production NLP tasks.
LLM distillation techniques to explode in importance in 2024
LLM distillation will become a more important in 2024, according to a poll of attendees at Snorkel AI’s 2023 Enterprise LLM virtual summit.
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