In this tutorial, we use GEPA as a reflective prompt-evolution framework to improve the way a language model solves arithmetic […]
Category: Applications
Best 21 Low-Code and No-Code AI Tools in 2026
Low-code and no-code platforms have moved from simple drag-and-drop builders to AI-native development environments. In 2026, most of them ship […]
Meet Harness-1: A 20B Retrieval Subagent Trained With Reinforcement Learning Inside a Stateful Search Harness on gpt-oss-20b
Most search agents are trained as policies over a growing transcript. The model decides how to search. It must also […]
NVIDIA garak Tutorial: Build a Complete Defensive LLM Red-Teaming Workflow with Custom Probes and Detectors
In this tutorial, we analyze NVIDIA garak as a practical framework for defensive LLM red-teaming. We start by setting up […]
Google’s New Colab CLI Lets Developers and AI Agents Run Python on Remote Colab GPUs and TPUs From the Terminal
This week, Google AI team released the Colab CLI. The tool connects your local terminal to remote Colab runtimes. It […]
Moonshot AI Releases Kimi Code CLI: A Terminal AI Coding Agent Built in TypeScript for Next-Gen Agents
Moonshot AI has released Kimi Code CLI, an open-source coding agent that runs in the terminal. The tool reads and […]
Google DeepMind Releases Gemma 4 QAT Checkpoints: Q4_0 and a New Mobile Format Cut On-Device Memory
Google DeepMind released Quantization-Aware Training (QAT) checkpoints for the Gemma 4 family. The release targets local deployment on edge devices […]
NVIDIA AI Releases Nemotron 3 Ultra: An Open 550B Mixture-of-Experts Hybrid Mamba-Transformer for Long-Running Agents
NVIDIA has released Nemotron 3 Ultra, the largest model in its Nemotron 3 family. It targets a specific problem: long-running […]
Meet OpenJarvis: A Local-First Framework for On-Device Personal AI Agents with Tools, Memory, and Learning
Researchers at Stanford University and Lambda Labs, have published the research paper for OpenJarvis, an open-source framework that runs inference, […]
How to Build a Document Intelligence Backend with iii Using Workers, Functions, and Cron Triggers
In this tutorial, we build a document-intelligence workflow with iii. We begin by installing the iii engine and Python SDK, […]