「Calibration」の検索結果
8 件Reinforcement learning from human feedback (RLHF) has emerged as a powerful yet sample-inefficient approach fo
Information abstraction, which groups strategically similar private states into a tractable number of buckets,
Generative modeling directly on geometric manifolds can avoid errors introduced by flattening non-Euclidean da
Multi-agent LLM systems commonly use an orchestrator to decompose a task for a team of workers and then improv
Post-hoc calibration corrects reported confidence, yet a multiclass calibrator can also change the associated
Model compression techniques such as pruning and quantization facilitate the efficient deployment and accelera
Professional agent tasks often depend on conventions that are absent from public corpora, yet benchmarks rarel
Mobile AI acts as a visual oracle, empowering users to snap a picture of something and ask for information. Sn