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Open-Source Language AI Challenges Big Tech’s Models
Article

Open-Source Language AI Challenges Big Tech’s Models

BLOOM aims to address the biases that machine-learning systems inherit from the texts they train on.

Nature, 2022


Editorial Rating

8

Qualities

  • Analytical
  • Visionary
  • Engaging

Recommendation

Currently in its final weeks of training, the BLOOM model for natural language processing is almost ready for full launch. With parameter sets rivaling those used by Google and OpenAI, the system’s originators seek to correct biases inherent in many systems that make them seem all too human – in the worst ways. Anyone who designs or uses AI should read this eye-opening report, and perhaps consider signing up for a test drive.

Take-Aways

  • Scientists designed the BLOOM natural language processing model to correct AI text biases.
  • BLOOM can tackle a variety of AI-based research projects.
  • Natural language processing programs only work well when based on quality data sets.

About the Author

Elizabeth Gibney is a senior physics reporter at Nature. She has written for Scientific American, the BBC and CERN.


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