How IBM accelerates their AI workflow with Weights & Biases
"We use Weights & Biases for tuning the model before we set off on big runs. For some of the larger runs models, we’ll have runs that will run for weeks or even months and there’s a period of time where you’re tuning the parameters where Weights & Biases is really invaluable."
Danny Barnett
VP of Emerging Technology Engineering
Training a state-of-the-art foundation model like IBM Granite is no small feat, and requires an intricate coordination of AI researchers working throughout a complex workflow. In this video, IBM leaders share how partnering with Weights & Biases enabled their teams to accelerate their ML workflows and improve the quality of their models — all while improving their own quality of lives and work
