This invention describes a system where different AI language models (LMs) work together to complete tasks. One LM acts as a main coordinator, taking a user's request, figuring out what needs to be done, and then asking other LMs to handle specific parts of the task. These LMs communicate with each other using a mix of structured data and regular language, and they can be given natural language instructions on how to perform their roles. The claims specifically detail a method where a first LM agent processes a task, generates output, and then interacts with a second LM agent by sending it data and receiving data back.
Why it matters: Filed in 2024, this concept of LM agents delegating tasks and communicating has become far more practical and powerful by 2026 due to rapid advancements in LLM capabilities and the development of sophisticated agentic frameworks. The ability of LMs to reliably follow natural language instructions for task handling and communicate effectively has matured significantly.
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