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Turn an aging laptop into a private AI workspace with Ollama and OpenCode for local coding, testing, and experimentation.
Read full articleA practical comparison between rule-based PDF extraction using pytesseract and an LLM-based approach with Ollama and LLaMA 3, based on a realistic B2B order scenario. The post I Built the Same B2B Document Extractor Twice: Rules vs. LLM appeared first on Towards Data Science.
Learn how to build an AI-powered Learning Management System from scratch using Ollama, FastAPI, and React. A step-by-step guide for beginner and intermediate developers.
Learn which seven OpenCode plugins add memory, search, Gemini, terminal control, analytics, and reusable skills to make AI coding workflows stronger.
Run a powerful, private AI coder locally with OpenCode, Ollama & Qwen3-Coder. Free, offline, and unlimited.
PLUS: Run an LLM on your laptop for free with Ollama
MiniMax, the AI research company behind the MiniMax omni-modal model stack, has released MMX-CLI — Node.js-based command-line interface that exposes the MiniMax AI platform’s full suite of generative capabilities, both to human developers working in a terminal and to AI agents running in tools like Cursor, Claude Code, and OpenCode. What Problem Is MMX-CLI Solving? […] The post MiniMax Releases MMX-CLI: A Command-Line Interface That Gives AI Agents Native Access to Image, Video, Speech, Music, Vision, and Search appeared first on MarkTechPost.
Open-weight models are driving the latest excitement in the AI landscape. Running powerful models locally improves privacy, cuts costs, and enables offline use. But the open-source models are far and few! But Google‘s Gemma 4 is here to change that! This guide walks through what Gemma 4 is, would explores its variants, and outlines the […] The post Running Gemma 4 Locally with Ollama on Your PC appeared first on Analytics Vidhya.
