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26 items on 04 Oct 2026
Python AI Django

Qwen3.8 27B addition in words

Research: Qwen3.8 27B addition in words Colin Frasier posted on Bluesky about an experiment he ran over two years ago using GPT-4o to see how well it could "compute the sum but return the answer in words" across…

Source: Simon Willison's Weblog
Java AI

Java and LLM Talks and Workshops in Autumn 2026

VibeKode Netherlands 2026: How To Write Great Code with LLMs #vibeless conference talk VibeKode Netherlands 2026 Utrecht, Netherlands 7 October 2026 https://vibekode.it/agentic-engineering/java-llm-clean-code/ Fewer…

Source: Adam Bien Blog
JavaScript AI

My FAQ Schema and My FAQ Had Become Two Different Documents

I was rewriting the copy on one of my GPU comparison pages when I noticed something I probably should have checked much earlier. The FAQ people could read and the FAQ in the page's structured data were completely…

Source: DEV JavaScript feed Steven Browning
AI Research AI Python

How to Govern AI Agents

From guarding one agent to steering a fleet The post How to Govern AI Agents appeared first on Towards Data Science.

Source: Towards Data Science Amber Roberts
Python AI

OpenArch

PyTorch implementations of modern open-source LLM architectures (Llama, Qwen, DeepSeek, Gemma, GPT-OSS, Kimi, and more) — written from scratch for readability and learning, based on Sebastian Raschka's LLM Architecture…

Source: Python Hub Digest
Python AI

How to Build AI Agents in Python - 3 Ways

This video compares three Python frameworks for building more capable AI agents that can navigate codebases, edit files, and run commands: CrewAI, the OpenAI Agents SDK, and LangGraph. It walks through building an agent…

Source: Python Hub Digest
Python AI

Fighting for #1 in the Ultimate Tic-Tac-Toe Arena

Tom Alard details how he built a highly competitive Ultimate Tic-Tac-Toe bot using a neural network trained on over 300 million self-play positions, a custom search algorithm, and SIMD-optimized C code. He also explains…

Source: Python Hub Digest
Python AI

Bad evals, my own: five exercises from two LLM judges

The author uses five exercises from two real LLM judges to expose evaluation pitfalls, including inconsistent results, biased test sets, misleading metrics, and pass/fail thresholds that become unreliable as test suites…

Source: Python Hub Digest
Python AI

DeepTeam

DeepTeam is a framework to red team LLMs and AI agents.

Source: Python Hub Digest
Hardware AI

AI on Your Gaming PC

If you want to experiment with LLMs, you typically have a choice of sending your requests to someone else’s computer or fielding a very large GPU and CPU setup to …read more

Source: Hackaday Al Williams

26 items available