Hexagonal Architecture for Provider-Agnostic RAG Pipelines

If you've tried to point a local model — Qwen, a quantized Llama, whatever fits on your GPU — at a...

Jev does not generate an answer string. It makes a typed decision in one forward pass. So,...

On September 7, Alibaba's Qianwen Office (千问办公) launched a multi-person workspace. You describe who...

llama.cpp vs Ollama: Ollama wraps llama.cpp for convenience, raw llama.cpp wins on speed and control. Benchmarks, GPU offload flags, and when each wins.

The best local LLM for coding by VRAM bracket: Qwen3 Coder vs DeepSeek at 8, 12, 16 and 24 GB, the right quant per card, plus a runnable Ollama setup.

This week’s headlines highlight the rapid evolution of AI in China, with models like Qwen and...

Agentic coding on a Strix Halo laptop with Qwen3.8-27B and Flash-Next, the LlamaStash and Pi setup behind it, and the tuning

Honest comparison of fine-tuning options across Anthropic, OpenAI, and open-weight models. When fine-tuning wins, when RAG wins, and when prompt engineering is enough - from an Anthropic Partner shipping production ML.

Ran Qwen 3.8 27B 4-bit quantization benchmarks on RTX 4090 and M-series Mac for local AI agents. Don't fall for 1-bit — here's why.

MTP (Multi-Token Prediction) is a technique that lets a language model predict several tokens ahead...