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.

The past decade has witnessed software changing from being rule-based automation to self-learning intelligence. Today, an era is beginning where AI agents are no longer simply reactive tools, but ...

Celonis SE is stepping up its efforts to help organizations reshape their business operations with agentic artificial intelligence, announcing today at its annual user conference Celosphere 2025 new ...

The landscape of artificial intelligence is undergoing a significant transformation. As the capabilities of large language models grow, we are beginning to see a shift away from isolated ...