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Tuesday, December 06, 2022

Three Key Takeaways from Meta's Galactica AI

Galactica AI,  general idea is good, navigating complex forms of data is useful.  One of our early AI successes did exactly this for key internal knowledge.  Make it easy to easy to use, and importantly make it easy to validate and update in changing contexts.

Three Takeaways from Meta's Galactica AI

By TechTalks, November 23, 2022

We should look at Galactica's initial failure as another scientific experiment...and, every failed experiment brings us one step closer to success.

Meta's most recent large language model (LLM) release, Galactica, was supposed to help scientists navigate tons of published scientific information. Its developers presented it as being able to find citations, summarize academic literature, solve math problems, and perform other tasks that help scientists in research and writing papers.

However, three days after the release, Meta had to shut down the online demo following a deluge of criticism by scientists and tech media about the model's incorrect and biased output. While Galactica was obviously not a success, its short history provides us with some useful lessons about LLMs and the future of AI research.

From TechTalks   View Full Article    

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