ScholarEvolve uses published research to improve AI agents, raising Qwen's AppWorld task completion from 69% to 81.4% without retraining the model.

Overview: Learn programming fundamentals, data handling, libraries, and API integration before tackling advanced AI ...

There are a jaw-dropping 5.35 billion internet users around the world. But you’d be surprised how many people are not aware ...

Nvidia's RTX Spark packs an NPU that we know very little about, but I was able to get it working.

Treat the LLM as a brain, not a source of facts. A practical guide to multi-agent LLM systems: prompts, orchestration, RAG, ...

The Scope of Design Has Expanded Beyond the ModelHow to build AI agents has been discussed alongside the term "...engineering." In Japanese explanations, it is often introduced as the following three ...

Prompt injection test lab: build a 12-step Python harness that scores Claude, GPT, Gemini, Mistral and DeepSeek on 14 OWASP ...

Learn how to set up Steam Family Sharing in 12 steps: build a 6-member family group, enable parental controls, and share your ...

Training, a service for building custom models through user-defined reinforcement learning and supervised fine-tuning loops, ...

The bite of a female mosquito is the critical point of pathogen transmission, yet the fine-scale biting dynamics on human skin remain unknown. Here, we combine high-speed videography, ...

Researchers ran five models through Claude Code, OpenCode and mini-SWE-agent. Swapping harnesses changed scores no more than ...