2025-10-02
New AI training method creates powerful software agents with just 78 examples
A new study by Shanghai Jiao Tong University and SII Generative AI Research Lab (GAIR) shows that training large language models (LLMs) for complex, autonomous tasks does not require massive datasets.
Their framework, LIMI (Less Is More for Intelligent Agency), builds on similar work in other areas of LLM research and finds that “machine autonomy emerges not from data abundance but from strategic curation of high-quality agentic demonstrations.”
In other words, it's data quality, not quantity, that matters.
In experiments, the researchers found that with a small, but carefully curated, dataset of just 78 examp [...]
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