HackerNoon

Testing LLM Bias Across Embeddings, Prompts, and Generated Text

Learn how to detect stereotypes in LLMs across embeddings, prompts, and generated text, with Python code, charts, and a ...
KDnuggets

Python Foundations for Engineering: A KDnuggets Cheat Sheet

This is the Python material that does not get left behind. Almost none of it is replaced by a framework later. Learn it, and keep this cheat sheet close by as a handy reference.
InfoWorld

Validating AI models and agents with property-based testing

For stochastic models that can generate different outputs from identical inputs, property-based testing helps identify which input patterns make the model unstable.
HackerNoon

From Theory to Practice: Three Small Tools for Big Security Problems

AI writes fast and leaves API keys in your code. I built three tiny Python tools to find vulnerable packages, reachable CVEs ...
blog.csdn

Agent 实战：TaoToken 驱动 Claude Code 跑通 Python 仓库的 pytest 修复

这篇内容记录一次可复现的 Agent 实战：在一个小型 Python 仓库中，让 Claude Code 作为命令行 Agent，定位失败用例、修改源码、复跑 pytest，并产出最终 patch 与仍失败用例清单。默认供应商使用 ...
blog.csdn

Claude Code 实战：用 TaoToken 跑通 Python 仓库 pytest 修复

本文要完成的事情很具体：拿一个故意失败的 Python 仓库，用 Claude Code 作为命令行里的编码代理，把失败用例修到通过，并且把补丁限制在 3 个文件以内。整个过程会留下四类可复现产物：失败 ...