{"slug":"laya","name":"Laya","summary":"Laya = Apache-2.0, non-autoregressive System One decision model family: given a state (text / email / ticket / JSON) and typed questions (choice / score / noul), returns typed answers with probabilities in one forward pass. Trained with RLCD (reinforcement learning against strictly proper scoring rules).","kind":"model","homepage":"https://huggingface.co/convaiinnovations/laya","publisher":"","license":"Apache-2.0","hasMcp":false,"hasApi":false,"costRange":"unknown","composabilityRationale":"","functions":["connect"],"functionProbabilities":[],"slices":[{"functionId":"connect","label":"Connect","note":"Laya = Apache-2.0, non-autoregressive System One decision model family: given a state (text / email / ticket / JSON) and typed questions (choice / score / noul), returns typed answers with probabilities in one forward pass. Trained with RLCD (reinforcement learning against strictly proper scoring rules).","cost":"unknown"}],"tweets":[],"sources":[{"kind":"human","label":"Compendium resource card","excerpt":"06 Knowledge Library/Resources/coding/2026-09-19-convaiinnovations-laya.md\nLaya = Apache-2.0, non-autoregressive System One decision model family: given a state (text / email / ticket / JSON) and typed questions (choice / score / noul), returns typed answers with probabilities in one forward pass. Trained with RLCD (reinforcement learning against strictly proper scoring rules).","at":"2026-09-19T00:00:00.000Z"}],"interfaces":[],"origin":"seed","notes":[],"createdAt":"2026-09-19T00:00:00.000Z","updatedAt":"2026-09-19T00:00:00.000Z","stagingSeed":"leyline-0.3.0-staging","recordId":"cmp_laya","claims":{"name":"Laya","summary":"Laya = Apache-2.0, non-autoregressive System One decision model family: given a state (text / email / ticket / JSON) and typed questions (choice / score / noul), returns typed answers with probabilities in one forward pass. Trained with RLCD (reinforcement learning against strictly proper scoring rules).","kind":"model","publisher":"","homepage":"https://huggingface.co/convaiinnovations/laya","license":"Apache-2.0","costRange":"unknown","functions":["connect"],"slices":[{"functionId":"connect","label":"Connect","note":"Laya = Apache-2.0, non-autoregressive System One decision model family: given a state (text / email / ticket / JSON) and typed questions (choice / score / noul), returns typed answers with probabilities in one forward pass. Trained with RLCD (reinforcement learning against strictly proper scoring rules).","cost":"unknown"}],"interfaces":[],"composabilityRationale":""},"relations":[],"signals":[{"key":"has_license","value":1,"source":"component-record","method":"declared-license","observedAt":"2026-09-19T00:00:00.000Z"}],"claimVerification":[],"explain":{"score":5,"formula":"100 × sum(weight × value) over observed factors only. Unobserved factors are omitted, not zeroed.","factors":[{"id":"github_health","label":"GitHub health","weight":0.18,"value":0.15,"contribution":0.027,"why":"A licence is declared.","sources":[],"evidence":"observed"},{"id":"agent_use","label":"Agent use","weight":0.16,"why":"insufficient evidence","sources":[],"evidence":"insufficient"},{"id":"human_notes","label":"Human notes","weight":0.14,"why":"insufficient evidence","sources":[{"kind":"human","label":"Compendium resource card","excerpt":"06 Knowledge Library/Resources/coding/2026-09-19-convaiinnovations-laya.md\nLaya = Apache-2.0, non-autoregressive System One decision model family: given a state (text / email / ticket / JSON) and typed questions (choice / score / noul), returns typed answers with probabilities in one forward pass. Trained with RLCD (reinforcement learning against strictly proper scoring rules).","at":"2026-09-19T00:00:00.000Z"}],"evidence":"insufficient"},{"id":"composability","label":"Composability","weight":0.16,"why":"insufficient evidence","sources":[],"evidence":"insufficient"},{"id":"checklist","label":"Checklist","weight":0.1,"value":0,"contribution":0,"why":"No MCP surface is declared. No API is declared. Cost is unknown. 0 of 3 checklist fields are complete.","sources":[],"evidence":"observed"},{"id":"evidence_quality","label":"Evidence quality","weight":0.14,"value":0.18107144632819594,"contribution":0.025350002485947435,"why":"1 sources cover 1 evidence types. The latest dated evidence is 2026-09-19. Freshness is omitted unless observed as a signal.","sources":[{"kind":"human","label":"Compendium resource card","excerpt":"06 Knowledge Library/Resources/coding/2026-09-19-convaiinnovations-laya.md\nLaya = Apache-2.0, non-autoregressive System One decision model family: given a state (text / email / ticket / JSON) and typed questions (choice / score / noul), returns typed answers with probabilities in one forward pass. Trained with RLCD (reinforcement learning against strictly proper scoring rules).","at":"2026-09-19T00:00:00.000Z"}],"evidence":"observed"},{"id":"benchmark","label":"Benchmarks","weight":0.12,"why":"insufficient evidence","sources":[],"evidence":"insufficient"}],"missing":["Agent use: insufficient evidence","Human notes: insufficient evidence","Composability: insufficient evidence","Benchmarks: insufficient evidence"]},"score":5}