Unverified50% confidenceFactExact time
ZY-S1 takes Sapient AI's HRM-Text-1B (a PrefixLM architecture) as its base and performs 1000 steps of supervised fine-tuning (SFT), plus 120 steps of error-correction training.
1
Sources
50%
Confidence
Medium-term (~90 days)
Relevance
10/13/2026
First Seen
Valid until: 1/11/2027
Sources
Related Entities
Related Claims
UnverifiedZY-S1's training data comes from the filtered MnemicAI/Ling-Coder-SFT-English-Clean dataset.71% similarUnverifiedThe typesafe-ai module combines compile-time type checking with runtime validation, where runtime validation can leverage schema validation libraries such as Zod.60% similarUnverifiedGoogle's AutoTVM/Ansor (based on the TVM compiler) and Meta's Triton compiler employ machine-learning-guided auto-tuning frameworks that train cost models by actually measuring candidate kernel performance on target hardware.59% similarUnverified腾讯发布了HRAP 1.0,称其具备递归自我改进能力,在55个数学开放问题中刷新29个历史最优结果,并设计出仅需15个可训练参数完成十位数加法的Transformer架构58% similarUnverifiedLarge models can handle unstructured error messages because they have seen a large number of code repositories, forum discussions, and system logs during training, and can infer the failure chain from scattered clues.58% similar
Cite This Claim
Stable URI
https://kongchang.com/claim/1014219API
curl https://kongchang.com/api/v1/knowledge/claims/1014219MCP
get_claim(id=1014219)