Introducing improvements to the fine-tuning API and expanding our custom models program
We’re adding new features to help developers have more control over fine-tuning and announcing new ways to build custom models with OpenAI.
A new computational technique could make it easier to engineer useful proteins
To engineer proteins with useful functions, researchers usually begin with a natural protein that has a desirable function, such as emitting fluorescent light, and put it through many rounds of random mutation that eventually generate an optimized version of the...
U.S. Departments of Education and Labor Continue Biden-Harris Administration’s Push for Better Pay and High-Quality Pathways into Education Professions
The U.S. Department of Education (ED), in coordination with the U.S. Department of Labor (DOL), announced new efforts today to expand high-quality and affordable pathways into teaching, as well as to increase pay and strengthen working conditions across the early...
Most work is new work, long-term study of U.S. census data shows
This is part 1 of a two-part MIT News feature examining new job creation in the U.S. since 1940, based on new research from Ford Professor of Economics David Autor. Part 2 is available here. In 1900, Orville and Wilbur Wright listed their occupations as “Merchant,...
Does technology help or hurt employment?
This is part 2 of a two-part MIT News feature examining new job creation in the U.S. since 1940, based on new research from Ford Professor of Economics David Autor. Part 1 is available here. Ever since the Luddites were destroying machine looms, it has been obvious...
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Generative AI to quantify uncertainty in weather forecasting
Posted by Lizao (Larry) Li, Software Engineer, and Rob Carver, Research Scientist, Google Research Accurate weather forecasts can have a direct impact on people’s lives, from helping make routine decisions, like what to pack for a day’s activities, to informing urgent...
Navigating the Challenges and Opportunities of Synthetic Voices
We’re sharing lessons from a small scale preview of Voice Engine, a model for creating custom voices.
AutoBNN: Probabilistic time series forecasting with compositional bayesian neural networks
Posted by Urs Köster, Software Engineer, Google Research Time series problems are ubiquitous, from forecasting weather and traffic patterns to understanding economic trends. Bayesian approaches start with an assumption about the data's patterns (prior probability),...
Second round of seed grants awarded to MIT scholars studying the impact and applications of generative AI
Last summer, MIT President Sally Kornbluth and Provost Cynthia Barnhart issued a call for papers to “articulate effective roadmaps, policy recommendations, and calls for action across the broad domain of generative AI.” The response to the call far exceeded...