Snorkel Flow’s 2024.R1 release includes new role-based access control tools to further safeguard valuable enterprise data.
Google and Snorkel AI customized PaLM 2 using domain expertise and data development to improve performance by 38 F1 points in a matter of hours.
A brief guide on how financial institutions could use Google Dialogflow with Snorkel Flow to build better chatbots for retail banking
The Snorkel Flow label model plays an instrumental role in driving the enterprise value we create. Here’s a peek at how it works.
See a walkthrough of how Snorkel Flow users build applications with production-grade RAG retrieval components.
Snorkel Flow’s 2024.R1 release includes new role-based access control tools to further safeguard valuable enterprise data.
The Snorkel Flow label model plays an instrumental role in driving the enterprise value we create. Here’s a peek at how it works.
See a walkthrough of how Snorkel Flow users build applications with production-grade RAG retrieval components.
Snorkel Flow’s 2024.R1 release includes new role-based access control tools to further safeguard valuable enterprise data.
Unlock advanced LLM customization with Snorkel Flow’s new release! Explore flexible data integrations, secure controls, and multimodal support to fine-tune language models for enterprise use. Discover how to leverage images and diverse data types for AI-driven insights.
Snorkel Flow’s new FM-first workflow for building document intelligence applications will get you from demo to production faster than ever.
Google and Snorkel AI customized PaLM 2 using domain expertise and data development to improve performance by 38 F1 points in a matter of hours.
New unified prompting UI + RAG features, PDF annotation, Databricks MLflow integration, Snorkel Flow Studio, and datasets load 2x faster!
The Databricks Model Registry integration equips Snorkel Flow users to automatically register custom, use case-specific models.
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
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.