Daily tips and tutorials on LLMs, RAG and AI Agents | Author of books on GPT-3 & Neural Search in Production | DM open for collaboration
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Mar 20 • 5 tweets • 2 min read
OpenAI just released Voice AI Agents with GPT-4o Audio model.
You can now build amazing voice AI Agents using OpenAI Agents SDK in a few lines of Python code.
Quickstart code to build Voice AI Agents with function calling in Python.
Mar 20 • 7 tweets • 4 min read
5 AI agent frameworks to build multi-agent applications.
100% opensource.
They aren't LangChain, Crew AI, or OpenAI Agents SDK.
1. Motia is an AI agent framework is built for Software Engineers. Build agents in Python, TypeScript, JavaScript or Ruby.
github.com/MotiaDev/motia2. Agno is a lightweight Python library for building Multimodal Agents with memory, knowledge, and tools.
• ~10,000x faster than LangGraph
• Build teams of specialized agents
• Make Agents respond with structured data
OpenAI just released Agents SDK for building multi-agent apps in Python.
It comes with 3 key features: 1. Handoffs: Allows an agent to delegate tasks to another agent 2. Guardrails: Safety checks for input & output validation 3. Tracing: Built-in visual tracking of agent runs.
Handoffs allow an agent to delegate tasks to another agent.
It's particularly useful in scenarios where different agents specialize in distinct areas.
Mar 11 • 5 tweets • 3 min read
Opensource alternative to Manus AI Agent is blowing up on GitHub.
OWL is an Autonomous AI Agent framework that can research, browse and code with multi-agent collaboration.
Works with Claude Sonnet 3.7, DeepSeek, GPT-4o and even local LLMs with Ollama.
100% Opensource.
OWL ranks 1 on the GAIA Benchmark among open-source projects with a 58.18 avg score.
AI Agents, RAG, and LLMs just had their biggest week.
And the releases are mind-blowing.
Here's everything you need to know:
1. DeepSeek V3 Base model shows impressive performance
→ 671B parameter Mixture-of-Experts model
→ 37B parameters activated per token
→ Outperforms Claude 3.5 Sonnet, GPT-4, and Llama 3
2. OASIS launches social media simulator
→ Model up to 1 million AI agent interactions
→ Study behavior across Twitter and Reddit
→ Analyze information spread and group dynamics
3. Cheshire Cat AI is an opensource framework for production AI agents
→ Built with Docker at its core
→ Process documents and connect to external APIs
→ Supports both commercial and open-source LLMs
4. Humanloop releases comprehensive RAG evaluation suite
→ Automated evaluations through code or UI
→ Human feedback collection capabilities
→ Real-time performance monitoring
5. Hercules emerges as first opensource testing agent
→ Converts Gherkin steps to end-to-end tests
→ No coding skills required
→ Handles complex testing automation
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Build a personal health and fitness AI Agent using Google Gemini in less than 50 lines of Python Code (step-by-step instructions):
For easy viewing, follow this blog post with step-by-step code instructions.
Alternatively, continue reading for detailed code instructions and steps.
Qwen QwQ-32B can reason as good as OpenAI o1 mini (in most of the cases).
Best part? You can run this locally with an UI in less than 10 lines of Python Code (100% free and without internet).
1. Pull Qwen QwQ-32B from @ollama locally on your computer.