We recently published a tactical, 30+ page playbook to help teams move from building LLM apps to deploying full-fledged agents. In "A practical guide to building agents", you’ll find: 🤖 Frameworks for deciding when (and when not) to use agents 🏅 Best practices for model selection, tool integration, and guardrails 🎨 Design patterns for single- and multi-agent systems 🖥️ Code examples using the OpenAI Agents SDK Whether you're focused on internal automation or customer-facing features, this guide will help you build agents that are safe, scalable, and production-ready. Check out the full guide below or at this link: https://lnkd.in/d_e2FP2u
Here’s a great tutorial on how to build multi-agent systems that are interoperable: https://venturebeat.com/ai/getting-started-with-ai-agents-part-1-capturing-processes-roles-and-connections/
Molto utile
Thanks for sharing!
📌 bookmarked
I can run Multi-Agent simulations with ChatGPT and an advanced conversational approach.
These keep getting better and better 🤩
Imane Derassi
Independent AI Systems Strategist | Trusted Tester (Apple, Google, Microsoft, OpenAI) | Human-AI Alignment in Healthcare
23hTimely and valuable advice on constructing and sustaining agents in a scalable, production-ready, and, most importantly, safe manner. OpenAI for Business