llama.cpp vs Ollama: Which Should You Run in 2026?

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.

A few days ago, I posted a tutorial in the Spring AI Dev community on how to use Anthropic Claude’s...

TL;DR: send previous_response_id to Ollama's /v1/responses and it is accepted, the reply is HTTP 200...

Nova is an open source AI agent with one shared Python runtime behind an HTTP server, web UI, terminal TUI, and desktop app. Here is how it fits together and how to try it locally with Ollama.

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

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.

I let three different AIs work in my homelab every day — a coding assistant, a second CLI for...

One region out of 33 can fine-tune Llama 3.3 70B on Bedrock. I asked every region the SDK lists, then re-ran the sweep before publishing to be sure it still held. Also in here: every model you can customise in us-east-1 belongs to Amazon, …

How to build a production-grade drafting agent on local SLMs (Llama 3.2 3B) using deterministic Python verification, tri-state guardrails, QWK-calibrated evals, and continuous few-shot learning.

Flash on 27 August, the flagship on 28 August. Real quant sizes, why the bigger model has better tooling support than the smaller one, and the default that silently makes it feel slow.