In this video, we'll explore how to build AI assistants with memory, knowledge, and tools using Phidata. We'll also showcase the groundbreaking integration with LLMOS, allowing you to run a powerful LLM operating system on AWS, inspired by Andrej Karpathy.

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[Must Watch]:
Phidata: Easily Build Autonomous AI Agents with GPT4o!:    • Phidata: Easily Build Autonomous AI A...  
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[Link's Used]:
PhiData Github Repo: https://github.com/phidatahq/phidata
Docs: https://docs.phidata.com/templates/ll...
Subscribe to Phidata:    / @phidata  
Follow Ashpreet (Creator of Phidata): https://x.com/ashpreetbedi

Key Takeaways:
**Phidata Overview**: An interactive framework for creating AI assistants with longterm memory and contextual knowledge.
**LLMOS Integration**: Combining Phidata with LLMOS to create a scalable, autonomous AI system.
**Functionality**: Learn how these AI assistants can perform tasks autonomously through function calling.
**Expert Insights**: Hear directly from the creator of Phidata about the latest upgrades and features.

Video Content:
1. **Introduction to Phidata**: Discover the framework designed to build AI agents with advanced capabilities.
2. **Integrating LLMOS**: See how Phidata and LLMOS work together to run a robust AI operating system on AWS.
3. **Practical Applications**: Understand how these AI assistants can be used in realworld scenarios.
4. **Developer Insights**: Get detailed explanations from the creator of Phidata on the integration process and benefits.

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Tags and Keywords:
#Phidata #LLMOS #AIAssistants #AndrejKarpathy #AWS #AutonomousAI #AIFramework #ArtificialIntelligence #MachineLearning #AIIntegration #TechInnovation #FutureTech

Hashtags:
#Phidata #AI #LLMOS #AndrejKarpathy #TechInnovation