Records found: 5
Explore the comprehensive 7-layer framework essential for building real-world autonomous AI agents capable of thinking, acting, and learning effectively in 2025.
NVIDIA's ThinkAct framework introduces a dual-system approach combining vision-language reasoning with reinforced visual latent planning, significantly improving robot manipulation and planning in complex environments.
Baidu researchers introduced a multi-agent AI Search Paradigm that breaks down complex queries into sub-tasks managed by specialized agents, enabling smarter, adaptive information retrieval beyond traditional methods.
PoE-World introduces a modular symbolic approach that surpasses traditional reinforcement learning methods in Montezuma’s Revenge with minimal data, enabling efficient planning and strong generalization.
Dream 7B introduces a diffusion-based reasoning approach that enhances AI's ability to reason, plan, and generate coherent text, outperforming traditional autoregressive models.