
Argues and demonstrates that AI-generated, scenario-specific training infrastructure can beat general-purpose frameworks on performance by shedding shared abstraction layers, a concrete data point for when to build custom AI-generated infra instead of reusing Megatron-LM-style tooling.
articleIntroducing Forgemistral.ai
articleMindForge: Teaching Small Language Models Whole-Life-Cycle Software Engineering via Source-Free Program SynthesisYihao Chen, Shi Chang, Khaled Chawa, Feng Lin, Boyuan Chen, Shaowei Wang, Ahmed E. Hassan
articleHarness Engineering in LLM Tool Use via Agent-Native Reusable Tool PrimitivesHaibo Jin, Suijin Wang, Xucheng Yu, Haojing Luo, Haohan WangChecking sign-in…
Loading comments…