javaeeeee1's profile picture. Machine Learning Engineer. I learn by teaching. Opinions are my own.

Building https://www.bestgpusforai.com/

Dmitry Noranovich

@javaeeeee1

Machine Learning Engineer. I learn by teaching. Opinions are my own. Building https://www.bestgpusforai.com/

Dmitry Noranovich 님이 재게시함

New course: Nvidia's NeMo Agent Toolkit: Making Agents Reliable, taught by @Pr_Brian from @NVIDIA. Many teams struggle to turn agent demos into reliable systems that are ready for production. This short course teaches you to harden agentic workflows into reliable systems using…


Dmitry Noranovich 님이 재게시함

🔗 New LangChain Academy Course: Introduction to LangChain (Python) 🔗 Learn how to build with LangChain – our open source framework that makes it easy to start building agents with any model provider. In this course, you’ll create agents that can reason, use tools, and take…


Dmitry Noranovich 님이 재게시함

LangChain 1.0 is centered a flexible agent abstraction, which both lowers the floor to entry but also raises the ceiling of what you can do in a framework (via "middleware") New Academy Course focused on LangChain 1.0, and highlighting all the goodness!

🔗 New LangChain Academy Course: Introduction to LangChain (Python) 🔗 Learn how to build with LangChain – our open source framework that makes it easy to start building agents with any model provider. In this course, you’ll create agents that can reason, use tools, and take…



Dmitry Noranovich 님이 재게시함

Ready to build AI that can reason, plan, and act? Easily build your own AI agents, even without deep expertise, thanks to Agent Development Kit (ADK)! This blog introduces three hands-on labs that cover the core patterns of agent development → goo.gle/4q9qGh8

GoogleCloudTech's tweet image. Ready to build AI that can reason, plan, and act? Easily build your own AI agents, even without deep expertise, thanks to Agent Development Kit (ADK)!

This blog introduces three hands-on labs that cover the core patterns of agent development → goo.gle/4q9qGh8

Dmitry Noranovich 님이 재게시함

Agent demos often fail for reasons that are hard to see: unclear tool traces, silent failures, and changes that improve one behavior but break another. Our new course with @Nvidia shows how to use their NeMo Agent Toolkit to surface these issues with OpenTelemetry tracing, run…


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