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An AI system, CoDoC, is proposed in a joint paper with Google Research in Nature Medicine to develop reliable AI tools for healthcare, specifically to determine when to defer to a clinician for accurate interpretation of medical images.

How to effectively use prompt engineering to build LLM-based applications, with insights from GitHub's approach.

Snorkel Flow Summer 2023: faster, easier, and more secure, with improved labeling functions, intelligent auto-suggest strategies, and streamlined annotation experiences.

Exploring the intersection of training diffusion models with reinforcement learning

Introducing Snorkel Flow Summer 2023, a release that improves the application creation process, shortens the iteration loop, and enhances security certifications.

A privacy technique that maintains machine-learning model's performance while protecting sensitive data.

The report explores how generative AI, specifically ChatGPT, can enhance worker productivity for specific writing tasks.

AI-powered PIGINet reduces planning time for household robots by leveraging machine learning to assess and filter feasible solutions in complex environments.

Apple's sponsorship and accepted paper presentation schedule at the International ACM Conference on Research and Development in Information Retrieval (SIGIR) 2023

The blogpost discusses training diffusion models with reinforcement learning, showing how they can be trained on downstream objectives directly using RL and introducing the Denoising Diffusion Policy Optimization (DDPO) algorithm.

An overview of the improvements in Snorkel Flow Summer 2023, including faster application creation, tighter iteration loop, and upgraded security certifications.

Reducing the size of the app by 20% through spring cleaning