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VentureBeat

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Alibaba’s ‘ZeroSearch’ lets AI learn to google itself — slashing training costs by 88 percent

  • Alibaba's 'ZeroSearch' is a new technique that allows large language models (LLMs) to develop advanced search capabilities without using real search engines during training.
  • ZeroSearch uses a reinforcement learning framework that incentivizes LLMs to search without interacting with commercial search engines, leading to significant cost savings by reducing the need for expensive API calls.
  • In experiments on question-answering datasets, ZeroSearch surpassed models trained with real search engines and achieved comparable or better performance.
  • The cost of training an AI system with ZeroSearch using a simulation LLM on GPUs was found to be 88% lower compared to using real search engines, making advanced AI training more accessible and cost-effective.

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