Updates and recent posts about Ollama..

Posts
Description

Course

@eon01 published a course, 5 days, 21 hours ago

Founder, FAUN.dev

Local AI Engineering with Ollama

#LangCha... #Unsloth #Fine-tu... #Ollama #MCP

Run, understand, customize, fine-tune, and build agentic apps on your own hardware

News FAUN.dev() Team

@devopslinks shared an update, 1 month, 2 weeks ago

FAUN.dev()

Ubuntu's Next Chapter: Local AI, Confined Agents, and a Bet Against the Cloud-First OS

#Local A... #Inferen... #Snap #agentic... #Ubuntu

Ubuntu is getting local AI as a native capability over the next year, with inference snaps that install models like any other package, AI-powered accessibility features, and confined agentic workflows for both desktops and server fleets. Canonical is betting on open weight models, local-by-default inference, and snap confinement, a deliberate counter to the cloud-first AI direction Microsoft, Apple, and Google are taking with their operating systems.

Ubuntu's Next Chapter: Local AI, Confined Agents, and a Bet Against the Cloud-First OS

Activity

@kala added a new tool Ollama , 1 month, 2 weeks ago.

Ollama is an open source tool for running large language models locally on your own machine. It packages model weights, configuration, and a runtime into a single binary with a simple CLI, letting developers pull and run models like Llama, Mistral, or Qwen with one command (`ollama run <model>`). It exposes an HTTP API compatible with parts of the OpenAI spec, which makes it easy to swap into existing tooling. Ollama is one of the most popular entry points for local LLM inference, particularly on macOS and Linux developer machines.