The Databricks Model Registry integration equips Snorkel Flow users to automatically register custom, use case-specific models.
Snorkel CEO Alex Ratner chatted with Stanford Professor Percy Liang about evaluation in machine learning and in AI generally.
LLMs have claimed the spotlight since the debut of ChatGPT, but BERT models quietly handle most enterprise production NLP tasks.
In its first six months, Snorkel Foundry collaborated on high-value projects with notable companies and produced impressive results.
When done right, advanced classification applications cultivate business value and automation, unlock new business lines, and reduce costs.
A brief guide on how financial institutions could use Google Dialogflow with Snorkel Flow to build better chatbots for retail banking
A proof-of-concept project that combines predictive AI + generative AI to minimize LLM’s risks while keeping their advantages.
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.
Large language models open many new opportunities for data science teams, but enterprise LLM challenges persist—and customization is key.
