How to Build Production Ready AgentScope Workflows with ReAct Agents, Custom Tools, Multi-Agent Debate, Structured Output and Concurrent Pipelines
In this tutorial, we build a complete AgentScope workflow from the ground up and run everything in Colab. We start by wiring OpenAI through AgentScope and validating a basic model call to understand how messages and responses are handled. From there, we define custom tool functions, register them in...
How to Build a Production-Ready Gemma 3 1B Instruct Generation AI Pipeline with Hugging Face Transformers, Chat Templates, and Colab Inference
In this tutorial, we build and run a Colab workflow for Gemma 3 1B Instruct using Hugging Face Transformers and HF Token, in a practical, reproducible, and easy-to-follow step-by-step manner. We begin by installing the required libraries, securely authenticating with our Hugging Face token, and load...
AI Reality Check: The Real Cost of Training Large Models (And Why It’s Rising)
Edition 6 of AI Reality Check provides a contrarian breakdown of the rising costs behind large-scale AI model training. This article exposes the real economics of compute, energy, data, and infrastructure—and why chasing scale without efficiency is becoming unsustainable.
How to Build and Evolve a Custom OpenAI Agent with A-Evolve Using Benchmarks, Skills, Memory, and Workspace Mutations
In this tutorial, we work directly with the A-Evolve framework in Colab and build a complete evolutionary agent pipeline from the ground up. We set up the repository, configure an OpenAI-powered agent, define a custom benchmark, and build our own evolution engine to see how A-Evolve actually improve...
Alexa+ gets new food ordering experiences with Uber Eats and Grubhub
You can now order from Uber Eats and Grubhub using Alexa+, an experience Amazon says will be similar to chatting with a waiter at a restaurant or placing an order at a drive-thru.
The Hidden Cost of Synthetic Drift: Why Models Quietly Degrade
Synthetic data can quietly erode model fidelity. Learn how synthetic drift accumulates and triggers model collapse and how organizations can detect early warning signals.
The Pentagon’s culture war tactic against Anthropic has backfired
This story originally appeared in The Algorithm, our weekly newsletter on AI. To get stories like this in your inbox first, sign up here. Last Thursday, a California judge temporarily blocked the Pentagon from labeling Anthropic a supply chain risk and ordering government agencies to stop using its ...
OpenAI's decision last week to shut down Sora, its AI video-generation tool, just six months after releasing it to the public raised immediate suspicions. The app had invited users to upload their own faces — so was this some kind of elaborate data grab?
How to Build Advanced Cybersecurity AI Agents with CAI Using Tools, Guardrails, Handoffs, and Multi-Agent Workflows
In this tutorial, we build and explore the CAI Cybersecurity AI Framework step by step in Colab using an OpenAI-compatible model. We begin by setting up the environment, securely loading the API key, and creating a base agent. We gradually move into more advanced capabilities such as custom function...
Google-Agent vs Googlebot: Google Defines the Technical Boundary Between User Triggered AI Access and Search Crawling Systems Today
As Google integrates AI capabilities across its product suite, a new technical entity has surfaced in server logs: Google-Agent. For software devs, understanding this entity is critical for distinguishing between automated indexers and real-time, user-initiated requests. Unlike the autonomous crawle...
A Coding Guide to Exploring nanobot’s Full Agent Pipeline, from Wiring Up Tools and Memory to Skills, Subagents, and Cron Scheduling
In this tutorial, we take a deep dive into nanobot, the ultra-lightweight personal AI agent framework from HKUDS that packs full agent capabilities into roughly 4,000 lines of Python. Rather than simply installing and running it out of the box, we crack open the hood and manually recreate each of it...