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Faster than ever document intelligence with new Snorkel Flow FM-first workflow

Snorkel Flow’s new FM-first workflow for building document intelligence applications will get you from demo to production faster than ever.

April 24, 2024

Here’s how Snorkel Flow + Google AI built an enterprise-ready model in a day

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.

March 19, 2024

Snorkel Flow 2023.R4: enhanced UI + PDF and Databricks tools

New unified prompting UI + RAG features, PDF annotation, Databricks MLflow integration, Snorkel Flow Studio, and datasets load 2x faster!

Nick Harvey author profile
January 9, 2024

How Snorkel Flow users can register custom models to Databricks

The Databricks Model Registry integration equips Snorkel Flow users to automatically register custom, use case-specific models.

January 9, 2024

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.

December 14, 2023

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

December 12, 2023

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.

Hoang Tran portrayed.
November 28, 2023

Snorkel Flow 2023.R3 release: PaLM integration, streamlined onboarding, and enhanced user experience

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.

Nick Harvey author profile
November 1, 2023

How to fine-tune GPT-3.5 Turbo in Snorkel Flow

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

Hoang Tran portrayed.
October 13, 2023

Snorkel AI and Together AI empower enterprises to build proprietary LLMs

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

July 17, 2023

Snorkel Flow Summer 2023: faster, easier and more secure

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

Nick Harvey author profile
July 14, 2023

Arize AI on How to apply and use machine learning observability

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

Dr. Bubbles, Snorkel AI's mascot
June 30, 2023

How to import Databricks data into Snorkel Flow

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

June 2, 2023

Knowledge graphs: build better models and reclaim predictive value

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

Dr. Bubbles, Snorkel AI's mascot
May 17, 2023

Uniphore chooses Snorkel Flow to accelerate conversational AI

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

Nick Harvey author profile
April 19, 2023
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