When building LLM agents, an LLM serves as the main controller or "brain" that controls a flow of operations needed to complete a task or user request. The LLM agent may require key modules such as planning, memory, and tool usage.

2023年8月3日 · An LLM agent is an artificial intelligence system that utilizes a large language model (LLM) as its core computational engine to exhibit capabilities beyond text generation, including conducting conversations, completing tasks, reasoning, and can demonstrate some degree of autonomous behaviour.

2024年9月21日 · Any developer building an agent must not only choose foundations — which model, use case, and architecture to use — but also which framework to leverage. Do you go with the long-standing LangGraph, or the newer entrant LlamaIndex Workflows? Or do you go the traditional route and code the whole thing yourself?

2023年11月30日 · In this post, I introduce LLM-powered agents and discuss what an agent is and some use cases for enterprise applications. For more information, see Building Your First Agent Application.

An LLM agent is an AI system that goes beyond simple text production. It uses a large language model (LLM) as its central computational engine, allowing it to carry on conversations, do tasks, reason, and display a degree of autonomy.

2024年11月25日 · LLM agents are a hot topic in AI development. These agents are built around the concept of equipping Large Language Models (LLMs) with tools and functions, allowing them to access external utilities, services, and data. This capability enables LLMs to extend beyond their inherent limitations.

LLM agent structure. Let’s discuss each of them. Agent/brain. At the core of an LLM agent is a language model (or an action model) that processes and understands language based on a vast amount of data it's been trained on. When you use an LLM agent, you start by giving it …

2023年6月23日 · In a LLM-powered autonomous agent system, LLM functions as the agent’s brain, complemented by several key components: Subgoal and decomposition: The agent breaks down large tasks into smaller, manageable subgoals, enabling efficient handling of complex tasks.

2024年12月19日 · Workflows are systems where LLMs and tools are orchestrated through predefined code paths. Agents, on the other hand, are systems where LLMs dynamically direct their own processes and tool usage, maintaining control over how they accomplish tasks. Below, we will explore both types of agentic systems in detail.