Two developers detail how to set up local AI assistants using Ollama, a tool that allows users to run large language models on their own machines. One guide focuses on creating a lightweight, privacy-focused desktop application with Python and PyQt6, emphasizing a modular architecture where the UI is separate from the LLM backend. The other guide outlines a workflow for a local AI coding agent, integrating Ollama with Aider within Windows Subsystem for Linux (WSL) for a more streamlined development environment. AI
IMPACT Enables users to run LLMs locally for privacy and efficiency, facilitating custom AI assistant development.
RANK_REASON Guides on setting up local AI tools using Ollama and other software.
- aider
- Git
- Intel Core i7-1355U
- Microsoft Windows
- NVIDIA
- Ollama
- PowerShell
- Qwen2.5 Coder
- Qwen2.5 Coder 14B
- Qwen2.5-Coder 7B
- Ubuntu
- Windows Subsystem for Linux
- PyQt6
- Python
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