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Phidata: Easily Build Autonomous AI Agents with GPT-4o!

In today's video, I will be showcasing Phidata - a toolkit for building AI Assistants using function calling. 🔥 Become a Patron (Private Discord):   / worldofai   ☕ To help and Support me, Buy a Coffee or Donate to Support the Channel: https://ko-fi.com/worldofai - It would mean a lot if you did! Thank you so much, guys! Love yall 🧠 Follow me on Twitter:   / intheworldofai   📅 Book a 1-On-1 Consulting Call With Me: https://calendly.com/worldzofai/ai-co... 📖 Want to Hire Me For AI Projects? Fill Out This Form: https://td730kenue7.typeform.com/to/W... 🚨 Subscribe To My Second Channel: @WorldzofCrypto Business Inquires: [email protected] [Must Watch]: Phidata: Easiest Way to Create Autonomous AI Assistants with Function Calling! (Opensource):    • Phidata: Easiest Way to Create Autono...   Introducing OpenAI's NEW GPT-4o Model! Most Powerful Model Ever!:    • Introducing OpenAI's NEW GPT-4o Model...   Devon: Opensource AI Software Engineer - Pair Programmer Creates Software!:    • Devon: Opensource AI Software Enginee...   [Link's Used]: Github Repo: https://github.com/phidatahq/phidata Ashpreet's Original Video:   / ashpreetbedi   Docs: https://docs.phidata.com/introduction Phidata is a cutting-edge framework designed for creating autonomous AI assistants (aka Agents) that have long-term memory, contextual knowledge, and the ability to perform actions using function calling. This enables more dynamic and context-aware interactions, paving the way for advanced AI applications. *Why Phidata?* LLMs often face challenges due to limited context and inability to take actions. Phidata addresses these issues by incorporating: *Memory:* Stores chat history in a database, allowing long-term conversations. *Knowledge:* Uses a vector database to provide LLMs with business context. *Tools:* Enables LLMs to execute actions like pulling data from APIs, sending emails, or querying databases. *How It Works* 1. *Create an Assistant:* Begin by defining your autonomous assistant. 2. *Add Tools, Knowledge, and Storage:* Integrate functions, vector databases, and storage to enhance capabilities. 3. *Serve Your AI Application:* Utilize platforms like Streamlit, FastAPI, or Django to deploy your AI assistant. *Key Highlights* Build AI assistants that remember past interactions. Equip your AI with relevant business context. Empower your AI to perform real-world actions seamlessly. If you found this video helpful, don't forget to **like**, **subscribe**, and **share**! Stay updated with the latest in AI technology by hitting the notification bell. *Additional Tags and Keywords:* AI, Autonomous Assistants, Phidata, Long-term Memory, Contextual Knowledge, AI Tools, Machine Learning, Vector Database, Function Calling, Streamlit, FastAPI, Django, AI Development, Advanced AI Applications *Hashtags:* #ai #Phidata #AutonomousAssistants #machinelearning #aidevelopment #TechInnovation