From Local LLM to Tool-Using Agent
Using Gemma 4, Ollama, OpenAI Agents SDK, and Tavily MCP to build a lightweight research agent The post From Local LLM to Tool-Using Agent appeared first on Towards Data Science.
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Read full articleUsing Gemma 4, Ollama, OpenAI Agents SDK, and Tavily MCP to build a lightweight research agent The post From Local LLM to Tool-Using Agent appeared first on Towards Data Science.
From installing Ollama to launching OpenCode with a local model, step by step. The post Build Your Own Local AI Coding Agent with Gemma 4 and OpenCode appeared first on Towards Data Science.
This article builds a full local agentic programming stack using Ollama, Gemma 4, and Claude Code.
In this article, we will go deep under the hood of Ollama's configuration engine, exploring how to fine-tune local language model parameters.
The integration simplifies AI coding access, potentially boosting productivity and lowering costs for developers using OpenCode. The post xAI integrates Grok with OpenCode for enhanced coding capabilities appeared first on Crypto Briefing.
A 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.