In this video, we dive into the incredible capabilities of Phidata, showcasing how you can integrate an LLM OS with Phidata to create a team of AI agents.
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[Link's Used]:
PhiData Github Repo: github.com/phidatahq/phidata
Code for Building Agents: github.com/phidatahq/phidata/...
Docs: docs.phidata.com/templates/ll...
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Phidata is revolutionizing the way we build AI assistants. This powerful framework allows you to create autonomous agents that can perform various tasks independently. Today, we'll show you how to build a team of AI agents using Phidata, focusing on three key agents:
- Driver Agent with memory, knowledge, and tools
- Sub-agents for dedicated tasks
- Collaborative problem-solving capabilities
*Video Content:*
- Overview of Phidata and its features
- Step-by-step guide to integrating LLM OS with Phidata
- Creating a Driver Agent with advanced memory and knowledge capabilities
- Developing sub-agents for specific tasks
- Demonstrating how these agents work together to solve complex problems
- Real-world applications and use cases of autonomous AI agents
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*Additional Tags and Keywords:*
Phidata, Autonomous AI Agents, AI Framework, Ashpreet, AI Assistants, Memory AI, Knowledge AI, LLM OS Integration, AI Team Building, Autonomous RAG, AI Collaboration, AI Problem Solving
*Hashtags:*
#phidata #aiagents #autonomousai #aiframework #LLMOS #aiassistants #aiteam #techinnovation #ai #artificialintelligence