When systems lack interpretability, organizations face delays, increased oversight, and reduced trust. Engineers struggle to isolate failure modes. Legal and compliance teams lack the visibility ...
AI systems now operate on a very large scale. Modern deep learning models contain billions of parameters and are trained on large datasets. Therefore, they produce strong accuracy. However, their ...
But last year we got the best sense yet of how LLMs function, as researchers at top AI companies began developing new ways to ...
Goodfire, a company focused on AI interpretability research, has raised $50m in a Series A funding round to enhance AI interpretability research and develop its Ember platform. Led by Menlo Ventures, ...
Two of the biggest questions associated with AI are “why does AI do what it does”? and “how does it do it?” Depending on the context in which the AI algorithm is used, those questions can be mere ...
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AI explainability remains an important preoccupation - enough so to earn the shiny acronym of XAI. There are notable developments in AI explainability and interpretability to assess. How much progress ...
Goodfire AI, a public benefit corporation and research lab that’s trying to demystify the world of generative artificial intelligence, said today it has closed on $7 million in seed funding to help it ...
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