Ollama

This post guides us through improving Python code quality using Ruff, a fast linter and formatter, and pre-commit for automated checks. It also covers structuring LLM prompts with a Prompt model for scalable AI integrations, including updates to Ollama and Bedrock chat services.

This guide shows how to create a modular Python application for web scraping and AI summarization using BeautifulSoup and Ollama. It covers organizing scraper and chat services into a reusable module, integrating them in a main script, and generating summaries from online content.

This guide walks you through setting up a local AI development environment using Ollama for running large language models and DevContainers in Visual Studio Code for a consistent, isolated setup. It covers installation, configuration, and making REST API calls to Ollama, with specific instructions for Windows users using WSL 2.