Course by CrewAI and Deeplearning.AI
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Updated
Jun 30, 2024 - Jupyter Notebook
Course by CrewAI and Deeplearning.AI
The purpose of the "Meta Agent with More Agents" project is to dynamically solve complex queries by breaking them down into smaller tasks and assigning each to specialized AI agents. The Meta Agent coordinates the process, leveraging a ReAct Agent for tool-based tasks and a Chain of Thought Agent for reasoning-based tasks. The system's flexibility.
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This project leverages a multi-agent AI system to assist users in tailoring their resumes and preparing for job interviews. By using advanced tools and AI agents, it ensures your resume highlights your most relevant skills and experiences, perfectly aligning with the job posting requirements.
Multiple AI Agents collaboration, Multi-Agent-Cooperation
A sophisticated multi-agent system designed to handle customer queries related to InfinitePay services through intelligent routing and specialized agent responses.
Frame.AI is a collaborative AI agent system built with Google's ADK to perform intelligent, modular video segmentation.
Terminal-based platform where specialized AI experts (Legal, Tech, Business) engage in real-time debates and collaborative problem-solving to provide multi-perspective analysis for complex decisions.
AI-m (AI-m Integrates Models) is a powerful multi-model AI platform that lets you interact with 12+ AI models side-by-side. Send a single prompt and instantly compare responses across different models — similar to T3 Chat and AI Fiesta, but built to be faster, smarter, and more secure.
PraisonAI is a production-ready Multi AI Agents framework, designed to create AI Agents to automate and solve problems ranging from simple tasks to complex challenges. It provides a low-code solution to streamline the building and management of multi-agent LLM systems, emphasising simplicity, customisation, and effective human-agent collaboration.
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