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Google AI, in collaboration with researchers from The University of Hong Kong, has introduced 'Learn-by-Interact,' a data-centric framework designed for the development of self-adaptive agents in realistic environments. This framework aims to enhance the efficiency and adaptability of large language model (LLM) agents, addressing current limitations in AI reasoning and agent development. The initiative reflects a growing trend in artificial intelligence research focused on improving autonomous agent capabilities through innovative approaches.
Google AI Introduces Learn-by-Interact: A Data-Centric Framework for Adaptive and Efficient LLM Agent Development https://t.co/IA79EzNQA6 #AI #MachineLearning #AutonomousAgents #Productivity #LearnByInteract #ai #news #llm #ml #research #ainews #innovation #artificialintellig… https://t.co/xrsECs5351
Google AI Introduces Learn-by-Interact: A Data-Centric Framework for Adaptive and Efficient LLM Agent Development Researchers from Google and The University of Hong Kong have presented Learn-by-Interact, a framework that addresses the abovementioned limitations.… https://t.co/dviXgIosdq
Reinforcement Learning is back—baby 🙌" Learn How Reinforcement Learning is Reshaping AI Reasoning ✅ https://t.co/NwwcyjenF9
