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At Think, IBM showed how generative AI is set to take automation to another level
Deep DiveMike MurphyTiny benchmarks for large language models
NewsKim MartineauThe future of AI is open
NewsMike Murphy and Peter HessIBM’s Granite model is one of the most transparent LLMs in the world
NewsMike MurphyEnvironmental analysis made easier with IBM’s Geospatial Studio
NewsKim MartineauCan AI help to promote endangered Indigenous languages?
NewsKim MartineauOpen sourcing IBM’s Granite code models
ReleaseMike MurphyMitigating the environmental harm of PFAS ‘forever chemicals’
NewsKim MartineauWhat is red teaming for generative AI?
ExplainerKim MartineauIBM and Spain are collaborating to build large language models in Spanish
NewsMike MurphyGenerative AI could offer a faster way to test theories of how the universe works
NewsKim MartineauMaximizing training throughput using PyTorch FSDP
Technical noteIBM and NASA build language models to make scientific knowledge more accessible
Technical noteBishwaranjan Bhattacharjee, Aashka Trivedi, Masayasu Muraoka, Bharath Dandala, Rong Zhang, and Yousef El-KurdiA faster, systematic way to train large language models for enterprise
ResearchKim MartineauAI is making extracting key information from reports easier than ever
Technical noteMichele Dolfi, Peter Staar, Cesar Berrospi Ramis, Lokesh Mishra, and Panos VagenasIn search of AI algorithms that mimic the brain
Q & AKim Martineau
