Browsing: Building

In this tutorial, we configure and operate Kimi CLI as a fully non-interactive AI coding agent. We install the CLI through uv with an isolated Python…

In this tutorial, we build and examine an OpenSpace workflow, progressing from environment setup and sparse repository cloning to live task execution, skill evolution, and MCP-based…

to understand backpropagation? If you’re trying to understand how modern AI systems like large language models (LLMs) are trained, backpropagation is one of the most important…

“> HKUDS AutoAgent Repository: github.com/HKUDS/AutoAgent · License: MIT · Paper: arXiv:2502.05957 AutoAgent is a zero-code agent framework from the University of Hong Kong Data Intelligence Lab.…

Across 101 enterprises, the infrastructure that feeds AI agents their business context is being built faster than it can be trusted. Retrieval-augmented generation is already the…

In this tutorial, we explore the Patter SDK by building a voice-agent workflow that simulates how an AI phone assistant behaves during real conversations. We work…

then you’ve already been through this situation when it looks like your RAG system is working fine but it is still wrong. The retrieval fetches some…

In this tutorial, we implement a Gin Config–controlled PyTorch experiment pipeline in which the executable training code remains stable. At the same time, the experimental degrees…

Two response variables that look identical and aren’t , the thing I was trying to predict was a survey answer: a senior citizen’s stated intention to…

def tool_shot_planner(instruction, captions): “””Global-aware storyboard sub-queries from instruction + caption bank.””” bank = “; “.join(sorted({c[“caption”] for c in captions})) if llm.available(): sys_p = (“You are VideoAgent’s…