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This repository contains projects of LLM Agents that empowers users to efficiently construct large language model (LLM)-based agents. Whether you’re diving into the world of AI chatbots, text generation, or natural language understanding, this repo provides the tools you need. 🚀

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LLM Agents

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Building LLM Agents with Crew AI and More

In order to set up the LLM Agents (crew), we should consider the following concepts

Tasks

These are the tasks that our agents will perform. Each task will be assigned to an agent.

Agent

  1. Perform tasks
  2. Make decisions
  3. Communicate with other agents

Three Components of a Good Agent

  1. Good LLM (GPT-x, Mistral, Claude, Gemini)
  2. Good Tools (Search, Calculate, Comparision, Shell, ...)
  3. Good Agent Frameworks (LangGraph, LlamaIndex, LangChain, CrewAI)
Good LLM
  1. Handle Long Contexts
  2. Handle Long Outputs
  3. Good at Reasoning
Good Tools
  1. Efficient
  2. Easy to Use
  3. Easy to Extend
  4. Easy to Integrate
Good Agent Frameworks
  1. Good prompts that match the LLM (Same prompt not work for all LLMs)
  2. Highly customizations of LLM Tools
  3. Easy to use
  4. Flexibility

Tools

These are the tools that our agents will use to perform their tasks. These can be, for example, a search engine, a summarizer, a translator, etc.

Process

A process dictates the way that our agents will work together. In this case, we will use a sequential process, which means that each agent will work one after the other.

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This repository contains projects of LLM Agents that empowers users to efficiently construct large language model (LLM)-based agents. Whether you’re diving into the world of AI chatbots, text generation, or natural language understanding, this repo provides the tools you need. 🚀

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