TLDRocket
Sign in
Latest Nebius looks to raise $4.5BN through bond issue — Tech.eu Also’s $3,500 e-bike is a $1 billion Trojan horse for autonomous trans... — Fortune Unitree, famous for its dancing robots, surges by 460% on its trading... — Fortune Exclusive: Replit taps OpenAI's low-cost Luna model for new 'Free Mode... — Fortune Adronite launches Codistry AI coding platform, claims half the token c... — SiliconANGLE Rundoo raises $30M to expand its AI-native operating system for small... — SiliconANGLE Temporal is in talks to raise $500M at a $12B pre-money valuation, mor... — Tech Funding News Etched raises $700M led by Jane Street, doubling to $21B and it still... — Tech Funding News

The AI intelligence platform

Every AI story that matters and the intelligence behind it.

TLDRocket reads all relevant sources, removes duplicate coverage, and publishes a short neutral summary of every story, linking back to the original. Free, no spam, unsubscribe anytime.

Add to Slack

Every story also updates live profiles event timelines weekly rankings the AI Market Index

Thursday, 23 September 2021

Summarizing books with human feedback

OpenAI 4 years ago 40

Researchers developed methods to train AI systems to summarize books using human feedback, addressing the challenge of evaluating open-ended tasks where multiple correct answers exist. The approach involved collecting human preferences on summaries and training models to match those judgments, rather than relying on automated metrics. This technique demonstrates how human feedback can scale oversight of AI systems for complex tasks that resist simple automated evaluation.

The daily briefing

Every AI story that matters, in your inbox by 8am.

TLDRocket reads all relevant sources, removes duplicate coverage, and summarises the day in two minutes. Follow companies and topics for alerts, or get the briefing in Slack. Free, no spam, unsubscribe anytime.