Latest posts
- Stanford professor discusses exciting advances in foundation model evaluation - 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 - 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 - 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 - 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 - 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 - 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 - 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 - Large language models open many new opportunities for data science teams, but enterprise LLM challenges persist—and customization is key. ...
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