Alibaba's ZeroSearch Teaches AI To Search Without Search Engines, Cuts Training Costs By 88%

ZeroSearch: Alibaba trains search assistant in AI simulation

Alibaba’s research lab Tongyi has introduced ZeroSearch, a new method for training large language models to handle search tasks—without relying on real web searches. The article ZeroSearch: Alibaba trains search assistant in AI simulation appeared first on THE DECODER.

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The Alibaba research laboratory Tongyi has developed ZeroSearch to train large language models without access to real web search for search tasks. The article ZeroSearch: Alibaba trains AI search assistants in AI simulation first appeared on THE-DECODER.de.

ZeroSearch: How Alibaba's Self-Training Framework Slashes LLM Search Costs by 88%

Alibaba’s research team has unveiled a groundbreaking approach to AI training that could dramatically reduce costs while maintaining performance. The new method, called ZeroSearch, enables large language models (LLMs) to learn web search capabilities without relying on expensive search APIs, potentially cutting training expenses by as much as 88%. According to a paper published on arXiv, ZeroSearch teaches AI models to generate search queries an…

Alibaba's ZeroSearch Teaches AI To Search Without Search Engines, Cuts Training Costs By 88%

Alibaba Group researchers have developed "ZeroSearch," a technique that enables large language models to acquire search capabilities without using external search engines during training. The approach transforms LLMs into retrieval modules through supervised fine-tuning and employs a "curriculum-bas...

Alibaba ZeroSearch Cuts AI Training Costs by 88%

Alibaba Develops ZeroSearch To Cut AI Costs Researchers engineered a simulation method to replace commercial search engines in model training. This innovation reduces expenses by 88% and increases control over… The post Alibaba ZeroSearch Cuts AI Training Costs by 88% appeared first on nextbigwhat.