Text and code embeddings by contrastive pre-training
Exploring the power of text and code embeddings through contrastive pre-training
Reward Isn't Free: Supervising Robot Learning with Language and Video from the Web
Read about how to supervise the reward learning process for robots by leveraging crowd-sourced natural language descriptions of robot behavior and using diverse human videos from the web.
Spurious normativity enhances learning of compliance and enforcement behavior in artificial agents
Exploring how multi-agent deep reinforcement learning can enhance learning of compliance and enforcement behavior in artificial agents to model complex social interactions and social norms.
Spurious normativity enhances learning of compliance and enforcement behavior in artificial agents
Exploring how multi-agent deep reinforcement learning can model complex social interactions and create richer simulations.
AlphaFold: Using AI for scientific discovery
AlphaFold is a groundbreaking AI system that accurately predicts protein structures, advancing scientific discovery and potentially revolutionizing disease treatment and environmental management.
How Jane Street Pairs Interns to Projects and Teams During the Software Engineering Internship
The blogpost explains how Jane Street pairs interns to projects and teams during their software engineering internship.
Magic-trace: Diagnosing tricky performance issues easily with Intel Processor Trace
Diagnose performance issues easily using Intel Processor Trace with accurate program execution flow and timing information recording.
Chrome 98 Beta: Color Gradient Vector Fonts, Region Capture Origin Trial, and More
This blogpost introduces the new features, including support for COLRv1 color gradient vector fonts, region capture origin trial, and more, in the Chrome 98 beta release.
Obvious Ownership: A Sensible Humane Registry
Exploring a sensible and humane approach to ownership in engineering at SoundCloud
BanditPAM: Almost Linear-Time k-medoids Clustering via Multi-Armed Bandits
Stanford researchers have significantly sped up k-medoids clustering with their new BanditPAM algorithm, which matches sklearn.cluster.KMeans interface and can be installed with a simple pip command.
WebGPT: Improving the factual accuracy of language models through web browsing
Enhancing model accuracy by leveraging web browsing
Customizing GPT-3 for your application
Optimizing the language model GPT-3 to suit specific application needs.