Latest posts

• Stanford professor discusses exciting advances in foundation model evaluation
  January 2, 2024Snorkel Team
  - Snorkel CEO Alex Ratner chatted with Stanford Professor Percy Liang about evaluation in machine learning and in AI generally. ...
• BERT models: Google’s NLP for the enterprise
  December 27, 2023Matt Casey
  - LLMs have claimed the spotlight since the debut of ChatGPT, but BERT models quietly handle most enterprise production NLP tasks. ...
• First cohort of Snorkel GenAI customers sees gains up to 54 points
  December 20, 2023Marty Moesta
  - In its first six months, Snorkel Foundry collaborated on high-value projects with notable companies and produced impressive results. ...
• How to tackle advanced classification challenges using Snorkel Flow
  December 14, 2023Vincent Chen
  - When done right, advanced classification applications cultivate business value and automation, unlock new business lines, and reduce costs. ...
• How to scale chatbot development with Google Dialogflow and Snorkel Flow
  December 12, 2023Sean Earley
  - A brief guide on how financial institutions could use Google Dialogflow with Snorkel Flow to build better chatbots for retail banking ...
• How predictive AI + generative AI build amazing document understanding
  December 5, 2023Shahebaz Mohammad
  - A proof-of-concept project that combines predictive AI + generative AI to minimize LLM's risks while keeping their advantages. ...
• How to fine-tune Llama 2 in Snorkel Flow
  November 28, 2023Hoang Tran
  - Data scientists can fine-tune Llama 2 to adapt it to specific tasks. The Snorkel Flow data development platform makes it easy to do so. ...
• Enterprise LLM challenges and how to overcome them
  November 16, 2023Kristina Liapchin
  - Large language models open many new opportunities for data science teams, but enterprise LLM challenges persist—and customization is key. ...