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 ...
But last year we got the best sense yet of how LLMs function, as researchers at top AI companies began developing new ways to ...
By studying large language models as if they were living things instead of computer programs, scientists are discovering some ...
Artificial intelligence (AI), particularly deep learning models, are often considered black boxes because their ...
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 ...
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, ...
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 ...
Data quality problems are systemic in agriculture, the researchers note. Historical reliance on local practices, fragmented ...
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