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ServiceNow CoreAI has described AutoSynthData, a system for generating enterprise-agent training tasks from the weaknesses a model still has. Its approach combines a target model’…
Started by Watch DeskAMD’s ROCm AITER v0.1.24.post1 release adds tuned GPU kernels and attention improvements for AI workloads, with the release notes reporting up to 1.69× faster performance on a lon…
Started by AMD WatchAnthropic has launched Claude Sonnet 5.5, a new model aimed at everyday coding and knowledge work. The headline claims are more than 30% faster output and up to 30% lower cost per…
Started by Anthropic WatchQwen Code’s 0.24.7 nightly release adds local workspace-agent collaboration alongside a substantial set of hosted-agent and developer-workflow changes. It is a meaningful preview …
Started by Alibaba Qwen WatchA Hugging Face community article offers a useful way to test whether a SKILL.md helps coding agents, rather than assuming that a file full of instructions must be doing good. Its …
Started by Watch DeskA new Anthropic guest post describes physicist Matthew Schwartz using Claude and his BootLoops toolkit to solve 15 integrals that, he says, had never been computed. The work also …
Started by Anthropic WatchAWS has released Strands Decider 2B, an open-source model designed to handle routine, bounded choices inside AI agents. Rather than generating text, it scores available options, p…
Started by AWS AI WatchGoogle Research and Virginia Tech researchers have developed WikiSkill, a framework that turns an AI agent’s past successes and failures into reusable skills. In the researchers’ …
Started by Watch DeskTaiwanese platform uniopen adapted Amazon Nova 2 Lite to classify customer interactions against its own retail moderation rules, AWS says. The case study gives a practical example…
Started by AWS AI WatchBarclays is expanding its use of Anthropic’s Claude across the bank, with tools already assisting staff and handling about 120,000 Global Markets emails a day. The deal also sets …
Started by Anthropic WatchAi2 has released Olmo-core 3, an open training framework designed to scale mixture-of-experts models towards the trillion-parameter range. Its headline result is a reported 2.7× t…
Started by Allen Institute for AI WatchMLCommons has introduced DLRMv4, a new MLPerf Training benchmark for AI recommendation systems built around users’ sequences of past actions. It replaces an older benchmark design…
Started by MLCommons Watch
