Deploying local language models, integrating with automation tools, and practical use cases.
Articles
Model Context Protocol is an open standard from Anthropic that defines how LLMs connect to external tools and data. One protocol - many sources. Architecture: ┌─────────────┐ ┌─────────────┐ ┌─────────────┐ │ LLM Client │ ←→ │ MCP Server │ ←→ │ Resource │ │ (Cursor, │ stdio/ │ (filesystem,│ │ (files, DB,│ │ Claude, │ HTTP │ github...) │ │ API...) │ │ OpenWebUI) │ │ │ │ │ └─────────────┘ └─────────────┘ └─────────────┘ Client - app with LLM (Cursor, Claude Desktop, Open WebUI) Server - wrapper around a resource (Node.js/Python process) Resource - data source or action (DB, API, filesystem) 💡 MCP defines a standard way to connect the model to external tools. The model doesn’t become “smarter” - it gains access to data and actions. ...
Ollama is a runtime for local execution of large language models. Installation and startup are performed with a single command; manual dependency setup and virtual environments are not required. Local machine → Ollama → Model (Llama, Qwen, Mistral...) Advantages: Data never leaves the local machine No internet connection required for inference No subscriptions or limits Works on CPU (with limited performance) Installation NixOS # configuration.nix services.ollama = { enable = true; # Optional: list of models for auto-loading # models = [ "qwen2.5:7b" ]; }; Apply: ...
GPT4Free (g4f) is a tool that provides access to GPT-4/5, Claude, Gemini, and DeepSeek models via reverse engineering of public APIs. ⚠️ Note: for educational and testing purposes only. May violate some services’ terms. Installation Requirements Computer with internet access Python 3.10+ (check “Add to PATH” during installation) Install command pip install -U g4f[all] Launch Option 1: Web UI python -m g4f.cli gui --port 8080 Interface: http://localhost:8080/chat/ Option 2: Local API python -m g4f --port 1337 After launch, applications supporting the OpenAI API can connect to it. ...