In today’s video, I will be showcasing Phidata – a toolkit for building AI Assistants using function calling.
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[Must Watch]:
Phidata: Easiest Way to Create Autonomous AI Assistants with Function Calling! (Opensource): https://youtu.be/MmBXgqN7INc?si=LSGRMapI6KQmq2Jk
Introducing OpenAI’s NEW GPT-4o Model! Most Powerful Model Ever!: https://youtu.be/lE_VTc0oZ_s?si=EGRgerVXk5LcLqFU
Devon: Opensource AI Software Engineer – Pair Programmer Creates Software!: https://youtu.be/hvHZacMXRGA?si=xRbmAqn5mumVOhMy
[Link’s Used]:
Github Repo: https://github.com/phidatahq/phidata
Ashpreet’s Original Video: https://twitter.com/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.
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**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
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