How To Maximize LLM And Multi-Agent ROI With AI Evals

When a scorecard reflects outcomes leadership cares about, teams move from opinions to actions that reduce cost, improve ...
InfoWorld

Meta’s SPICE framework pushes AI toward self-learning without human supervision

The new reinforcement learning system lets large language models challenge and improve themselves using real-world data ...

Rethinking Business Metrics In An AI-Driven Economy

AI agents aren’t human customers, and that breaks everything we know about how markets behave. They don’t have purchasing habits, don’t experience friction and don’t develop brand loyalty. After ...

Meta’s SPICE framework lets AI systems teach themselves to reason

The self-play framework uses a 'Challenger' and a 'Reasoner' to create a self-improving loop, pushing the boundaries of AI ...
IEEE

Reasoning and Learning a Perceptual Metric for Self-Training of Reflective Objects in Bin-Picking With a Low-Cost Camera

Abstract: Bin-picking of metal objects based on low-cost RGBD cameras may suffer errors due to sparse depth information and reflective part texture, leading to a need for manual labeling. To reduce ...