Kim Martineau

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research.ibm.com·há 27 dias

All of AI benchmarking at your fingertips

IBM is part of a global team trying to make AI benchmarking results easier to compare, replicate, and reuse.

research.ibm.com·há cerca de 1 mês

This could be the largest synthetic code dataset yet

Introducing CodeAlchemy, a synthetic data pipeline that has already produced nearly 1 trillion tokens of open-source code

research.ibm.com·há cerca de 2 meses

Running AI on mixed hardware for speed and affordability

Researchers show that serving AI models with llm-d can boost inference speeds by up to 5 times and double throughput — all while using heterogeneous GPUs.

research.ibm.com·há 4 meses

A new AI model for probing fusion plasma behavior

Co-designed by IBM, the UKAEA, and STFC Hartree Centre, the model could help to advance nuclear fusion as an alternative to fossil fuels.

research.ibm.com·há 4 meses

Mid-training is essential for LLM reasoning, IBM study shows

Adding a step between pre-training and post-training matters more than people may think.

research.ibm.com·há 5 meses

Toward a transparent supply chain for AI

IBM Granite 4.0 has new machine-readable disclosures that are a first step toward a broader AI “bill of materials” that documents how the models were built, trained, validated, and will be deployed.

research.ibm.com·há 6 meses

IBM Granite has earned a reputation for transparency

We explore what that means in the context of how Granite was made.

research.ibm.com·há 6 meses

IBM wins a NASA Group Achievement Award

IBM and NASA’s AI foundation models are changing how scientific data is represented and transformed into new knowledge.

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Kim Martineau — Entidade | Buobe