Remove snorkel-flow-platform foundation-model
article thumbnail

Introducing Snorkel’s Foundation Model Data Platform

Snorkel AI

In 2007, Google researchers published a paper on a class of statistical language models they dubbed “large language models”, which they reported as achieving a new state of the art in performance. They used a very standard model and a decoding algorithm so simple they named it “Stupid Backoff” 1. The key differentiator?

article thumbnail

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

Snorkel AI

Foundation models have become the new baseline for tackling problems in enterprise AI development. However, foundation models (FMs) rarely achieve the performance enterprises need for production deployment. This is where the Snorkel Flow AI data development platform comes in.

professionals

Sign Up for our Newsletter

This site is protected by reCAPTCHA and the Google Privacy Policy and Terms of Service apply.

article thumbnail

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

Snorkel AI

Foundation models have become the new baseline for tackling problems in enterprise AI development. However, foundation models (FMs) rarely achieve the performance enterprises need for production deployment. This is where the Snorkel Flow AI data development platform comes in.

article thumbnail

Discover what’s new in Snorkel Flow: Flexible data and LLM connectivity, secure data controls, and more!

Snorkel AI

Snorkel AI is excited to announce several new features released in Snorkel Flow, the latest version of our programmatic AI data development platform. It enables users to utilize the latest FM models for immediate, intuitive PDF labeling and analysis, streamlining the extraction of valuable insights from complex documents.

LLM 64
article thumbnail

Introducing Snorkel’s Foundation Model Data Platform

Snorkel AI

In 2007, Google researchers published a paper on a class of statistical language models they dubbed “large language models”, which they reported as achieving a new state of the art in performance. They used a very standard model and a decoding algorithm so simple they named it “Stupid Backoff” 1. The key differentiator?

article thumbnail

Accelerating AI development in manufacturing with Snorkel Flow and AWS SageMaker

Snorkel AI

phData Senior ML Engineer Ryan Gooch recently evaluated options to accelerate ML model deployment with Snorkel Flow and AWS SageMaker. This involves developing and tuning a model customized to extract rich insights from invoices using Snorkel’s data development platform and deploying with AWS Sagemaker.

article thumbnail

Accelerating AI development in manufacturing with Snorkel Flow and SageMaker

Snorkel AI

Whether it’s creating real-time reporting on manufacturing output, constructing sophisticated data engineering pipelines, architecting robust MLOps solutions, or building models to help predict when to perform maintenance, we empower leading manufacturers to bring ambitious data and analytics projects to life.