A brief guide on how financial institutions could use Google Dialogflow with Snorkel Flow to build better chatbots for retail banking

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.

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.

Snorkel Flow makes it easy to fine tune LLMs like GPT-3.5 Turbo to work better for specific domain and enterprise requirements.

Snorkel AI announced a strategic partnership with Together AI to enable organizations to build their own proprietary LLMs on their data.

This release eases Snorkel Flow application creation process and tightens the iteration loop. It also upgrades our security certifications.

Jack Zhou, product manager at Arize, on “How to Apply Machine Learning Observability to Your ML System” from The Future of Data-Centric AI

Databricks customers can access their data seamlessly within the Snorkel Flow platform with a few clicks with the new Databricks connector.

Amy Hodler, senior director at RelationalAI, presents “Reclaim Predictive Data with Knowledge Graphs” at The Future of Data-Centric AI.

Uniphore, a conversational AI and automation leader, has chosen Snorkel’s data-centric AI platform to accelerate AI development.

Jimmy Lin is an NLP product lead at SambaNova Systems. He presented “A Practical Approach to Delivering Enterprise Value with Foundation Models” at Snorkel AI’s 2023 Foundation Model Virtual Summit.

Snorkel Flow’s Spring 2023 release focuses on adapting foundation models for enterprise use—including fine-tuning and additional features.

Dillon Laird, engineering manager at Landing AI, presents on LandingLens and democratizing AI at Snorkel AI’s 2022 FDCAI Conference.

As part of Snorkel AI’s partnership with Snowflake, users can now upload millions of rows of data seamlessly from their Snowflake warehouse into Snorkel Flow via the natively-integrated Snowflake connector. With a few clicks, a user can upload massive amounts of Snowflake data and quickly develop high-quality ML models using Snorkel Flow’s Data-Centric AI platform.

See what’s in our latest Snorkel Flow release and how we’re accelerating data-centric AI development further.