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Category: Tutorials

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How to Build Production Ready AgentScope Workflows with ReAct Agents, Custom Tools, Multi-Agent Debate, Structured Output and Concurrent Pipelines
  • agentic AI
  • AI
  • AI Agents
  • Editors Pick
  • Staff
  • Tutorials

How to Build Production Ready AgentScope Workflows with ReAct Agents, Custom Tools, Multi-Agent Debate, Structured Output and Concurrent Pipelines

  • 0

In this tutorial, we build a complete AgentScope workflow from the ground up and run everything in Colab. We start […]

How to Build a Production-Ready Gemma 3 1B Instruct Generation AI Pipeline with Hugging Face Transformers, Chat Templates, and Colab Inference
  • agentic AI
  • AI
  • AI Shorts
  • Applications
  • Artificial Intelligence
  • Editors Pick
  • Staff
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  • Technology
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How to Build a Production-Ready Gemma 3 1B Instruct Generation AI Pipeline with Hugging Face Transformers, Chat Templates, and Colab Inference

  • 0

In this tutorial, we build and run a Colab workflow for Gemma 3 1B Instruct using Hugging Face Transformers and […]

How to Build and Evolve a Custom OpenAI Agent with A-Evolve Using Benchmarks, Skills, Memory, and Workspace Mutations
  • agentic AI
  • AI
  • AI Agents
  • Editors Pick
  • Staff
  • Tutorials

How to Build and Evolve a Custom OpenAI Agent with A-Evolve Using Benchmarks, Skills, Memory, and Workspace Mutations

  • 0

In this tutorial, we work directly with the A-Evolve framework in Colab and build a complete evolutionary agent pipeline from […]

How to Build Advanced Cybersecurity AI Agents with CAI Using Tools, Guardrails, Handoffs, and Multi-Agent Workflows
  • agentic AI
  • AI
  • AI Agents
  • Editors Pick
  • Physical AI
  • Robotics
  • Staff
  • Tutorials

How to Build Advanced Cybersecurity AI Agents with CAI Using Tools, Guardrails, Handoffs, and Multi-Agent Workflows

  • 0

In this tutorial, we build and explore the CAI Cybersecurity AI Framework step by step in Colab using an OpenAI-compatible […]

A Coding Guide to Exploring nanobot’s Full Agent Pipeline, from Wiring Up Tools and Memory to Skills, Subagents, and Cron Scheduling
  • agentic AI
  • AI
  • AI Agents
  • Editors Pick
  • Staff
  • Tutorials

A Coding Guide to Exploring nanobot’s Full Agent Pipeline, from Wiring Up Tools and Memory to Skills, Subagents, and Cron Scheduling

  • 0

In this tutorial, we take a deep dive into nanobot, the ultra-lightweight personal AI agent framework from HKUDS that packs […]

An Implementation of IWE’s Context Bridge as an AI-Powered Knowledge Graph with Agentic RAG, OpenAI Function Calling, and Graph Traversal
  • agentic AI
  • AI
  • Artificial Intelligence
  • Editors Pick
  • Knowledge Graphs
  • Machine Learning
  • Staff
  • Technology
  • Tutorials

An Implementation of IWE’s Context Bridge as an AI-Powered Knowledge Graph with Agentic RAG, OpenAI Function Calling, and Graph Traversal

  • 0

In this tutorial, we implement IWE: an open-source, Rust-powered personal knowledge management system that treats markdown notes as a navigable […]

A Coding Implementation to Run Qwen3.5 Reasoning Models Distilled with Claude-Style Thinking Using GGUF and 4-Bit Quantization
  • agentic AI
  • AI
  • Artificial Intelligence
  • Editors Pick
  • Large Language Model
  • Staff
  • Technology
  • Tutorials

A Coding Implementation to Run Qwen3.5 Reasoning Models Distilled with Claude-Style Thinking Using GGUF and 4-Bit Quantization

  • 0

In this tutorial, we work directly with Qwen3.5 models distilled with Claude-style reasoning and set up a Colab pipeline that […]

How to Build a Vision-Guided Web AI Agent with MolmoWeb-4B Using Multimodal Reasoning and Action Prediction
  • agentic AI
  • AI
  • AI Agents
  • Editors Pick
  • Tutorials

How to Build a Vision-Guided Web AI Agent with MolmoWeb-4B Using Multimodal Reasoning and Action Prediction

  • 0

In this tutorial, we explore MolmoWeb, Ai2’s open multimodal web agent that understands and interacts with websites directly from screenshots, […]

Paged Attention in Large Language Models LLMs
  • AI
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  • Artificial Intelligence
  • Editors Pick
  • Language Model
  • Large Language Model
  • Machine Learning
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Paged Attention in Large Language Models LLMs

  • 0

When running LLMs at scale, the real limitation is GPU memory rather than compute, mainly because each request requires a […]

A Coding Implementation to Design Self-Evolving Skill Engine with OpenSpace for Skill Learning, Token Efficiency, and Collective Intelligence
  • agentic AI
  • AI
  • Editors Pick
  • Staff
  • Tutorials

A Coding Implementation to Design Self-Evolving Skill Engine with OpenSpace for Skill Learning, Token Efficiency, and Collective Intelligence

  • 0

In this tutorial, we explore OpenSpace, a self-evolving skill engine developed by HKUDS that makes AI agents smarter, more cost-efficient, […]

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