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2024 m. spalio 22 d., antradienis

Artificial intelligence will no longer need so many humans: Meta has introduced a model that learns from its own mistakes

 

 "Facebook owner Meta said Friday it is releasing a suite of new artificial intelligence models from its research division, including a "self-evaluator" that could help reduce human involvement in the process of building artificial intelligence.

 

 In a paper published by Meta in August, they introduced the tool, detailing how it relies on the same "chain of thought" method used by the recently released OpenAI models, o1, to reliably evaluate model responses.

 

 The method involves breaking down complex problems into smaller logical steps and appears to improve the accuracy of answers to complex problems in subjects such as science, coding and mathematics, according to Reuters.

 

 Meta researchers used only AI-generated data to train the estimator model, so no human input was used at this stage either.

 

 Two Meta researchers working on the project told Reuters that the ability to reliably evaluate AI opens the door to autonomous AI agents that can learn from their own mistakes.

 

 Many in the field of artificial intelligence envision such agents as digital assistants that are intelligent enough to perform many tasks without human intervention.

 

 Self-evolving models could help avoid the expensive process of learning from human feedback, which requires a human annotator with specialized knowledge to accurately annotate data and verify that answers to complex mathematical and written queries are correct.

 

 "We hope that artificial intelligence will get better at checking its own work so that it is actually better than the average human," said one of the researchers, Jason Weston.

 

 "The idea that AI can learn and judge itself is fundamentally important to achieving that superhuman level of AI," he said." [1]


 


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