A technique or model that augments large language models with autonomous tool usage for enhanced reasoning and real-world actions.
More about Toolformer
Toolformer is a methodology and family of models developed to enable large language models (LLMs) to autonomously select and invoke external tools (such as calculators, search engines, or APIs) to complete complex reasoning or tasks. By combining generative abilities with tool use, Toolformer bridges the gap between pure text generation and actionable knowledge.
Toolformer-inspired approaches are foundational in advanced agentic workflows, reasoning engines, and observation-action loops for next-generation AI systems.
