IBM open sources CodeAlchemy, a massive synthetic dataset of high-quality code
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Kim Martineau
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406 results for AI
IBM open sources CodeAlchemy, a massive synthetic dataset of high-quality code
ReleaseKim MartineauReplacing the ‘bones’ of transformer-based models
ResearchPeter Hess- Focus Area
How the wrong training environment can teach AI models to misbehave
ResearchPeter HessHow to run AI workloads on mixed GPUs quickly and affordably
NewsKim MartineauCan LLMs discover quantum error correction codes?
ResearchMatthew MarwickBringing the power of semantic AI to IBM Db2
Technical notePrabhakar Kudva, Apoorva Nitsure, Petr Novotny, Hong Min, and Donna DillenbergerBuilding AI more like software
ReleaseMike MurphyThe future of quantum takes center stage at NY Tech Week
NewsPeter HessIBM charts a new research path with MIT
Q & AKim MartineauWhere the frontiers of high-speed racing and computing meet
ResearchKim Martineau and Dave MosherIntroducing the IBM Granite 4.1 family of models
ReleaseMike MurphyBuilding the future of computing, together
NewsPeter HessNext-generation algorithms could move fusion from the lab to the grid
ReleaseKim MartineauBringing quantum-centric supercomputing to Illinois
Q & AKim Martineau
