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.
LLM distillation will become a more important in 2024, according to a poll of attendees at Snorkel AI’s 2023 Enterprise LLM virtual summit.
LLMs have a broad but shallow knowledge, but fall short on specialized tasks. For best performance, enterprises must fine tune their LLMs.
The 2023.R3 Snorkel Flow release is packed with improvements that amplify user experience, streamline workflows, and enhance performance, ensuring our users derive unparalleled value from our platform.
The Biden administration issued an executive order that creates new AI standards and challenges. AI data development can help.
