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The Harmony Agent Framework (HMAF) is a core artificial intelligence framework developed by Huawei for its self-developed HarmonyOS operating system. Its purpose is to build a system with...
The Harmony Agent Framework (HMAF) is a core artificial intelligence framework developed by Huawei for its self-developed HarmonyOS operating system. Its purpose is to build a system with...
Context engineering refers to building a dynamic system that provides the right information and tools in the correct format, enabling the Large Language Model (LLM) to perform its tasks appropriately. It is a systematic approach to ensure that the LLM obtains the necessary information and tools to perform its tasks...
Agent Guidance Language (AGL) is a structured natural language programming method that borrows from Standard Operating Procedures (SOPs) to enable business experts to write "executable instructions" for agents using natural language...
AP2 (Agentic Payments Protocol) is an open protocol that provides users with a secure, scalable, and payment-agnostic framework to enable smart agent payments across platforms for users, merchants, and payment providers.
Agentic Context Engineering (ACE) is an innovative framework proposed by researchers at Stanford University, SambaNova Systems, and the University of California, Berkeley. It works by dynamically optimizing input information (i.e., "context") to...
Nested Learning is a new machine learning paradigm introduced by Google that addresses the "catastrophic forgetting" problem faced by traditional large language models during continuous learning. Nested Learning integrates complex machine learning models...