Engineering Agentic Workflows: A Full-Stack Perspective
Join the Tokyo AI community for a deep dive into the world of agentic systems! This engaging session will elevate your understanding beyond simple prompts, introducing you to robust, production-grade architectures.
👩💻👨💻 Connect with engineers and architects as we cover the mechanics of long-running inference loops, the implementation of structured 'agent skills' for comprehensive full-stack development, and the crucial design choices needed for reliable domain-specific AI systems.
Agenda
- Foundational Understanding: Start by mastering the basics of inference loops and long-running process management.
- Practical Application: Learn how to structure agents for complex, multi-step tasks.
- System-Level Design: Dive into the strategic architectural frameworks required for a production-ready environment.
Key Speakers
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From Inference Loops to Long-Running Agents: Fundamentals, Workflow, and a Real Example
Shekhar Upadhaya
Co-founder & CTO @ Skyhost
Explore what takes place behind the scenes in an inference loop and discover a real-world setup while working on a challenging multi-file refactor. -
Agent Skills for End-to-End Full-Stack Development
Kaustubh Hiware
Software Engineer @ Mercari
Uncover how agent skills can be employed as building blocks for full-stack development and learn about embedding domain knowledge into your designs. -
Architecting Real-World Agentic Systems
Jeff Yang
Solutions Architect @ Noeon Research
Hear about the key architectural and model-level choices when building agentic systems tailored for real-world applications.
Networking Opportunities 🌐
Meet and mingle with like-minded professionals during the networking hour, fostering new connections and ideas within the AI community.
🔗 Register Now!
📧 For inquiries, contact us at info@tokyoai.jp
Your participation will enhance the local AI ecosystem. Let's bridge the gap between experimental workflows and scalable, maintainable AI applications together!
Powered by: Tokyo AI | Foundry Labs | Sakura Defect Shuum
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