By Aaron T. on Sep 26, 2025
Learn what the Model Context Protocol (MCP) is and follow our step-by-step guide to connect Claude to an external MCP server, giving it access to live data and powerful tools.
By Wei Ming T. on Sep 25, 2025
Learn to build a secure and scalable Model Context Protocol (MCP) server using the fastapi_mcp library. This step-by-step guide covers setup, authentication, and integration with AI tools like Claude, turning your APIs into a powerful toolkit for large language models.
By Wei Ming T. on Sep 18, 2025
Before you spend a fortune fine-tuning an LLM, discover faster, cheaper, and often more effective methods: prompt engineering and RAG. Learn why fine-tuning should be your last resort.
By Jack N. on Sep 18, 2025
Learn which gradient boosting model to choose for speed, accuracy, and handling categorical data, with code examples and diagrams to guide you.
By Wei Ming T. on Sep 13, 2025
This complete guide details how to build a sophisticated course recommendation engine using LLMs, vector embeddings, and advanced semantic search. Learn data enrichment, prompt engineering, vector database implementation, and the logic for creating truly personalized learning paths.
By Ryan A. on Jul 12, 2025
Essential GPU and VRAM requirements for running Moonshot AI's Kimi LLM variants. This guide provides the specific hardware setups you need, from base models to Q4 quantized versions, to get started with this powerful AI.
By Ryan A. on Jul 4, 2025
List of the best local LLMs for Apple Silicon Macs, optimized for your specific RAM configuration.
By Ryan A. on Jul 3, 2025
Guide to the specific GPU VRAM requirements for running all variants of Baidu's new Ernie 4.5, from the small 0.3B to the largest 424B model
By Ryan A. on Jun 27, 2025
GPU and RAM requirements for Gemma 3n, Google's cutting-edge on-device AI model. Learn how its innovative architecture redefines efficient AI deployment.
By Wei Ming T. on Jun 23, 2025
The AI Engagement Index ranks nations by their engagement in technical AI content, offering a fresh perspective on the global AI adoption.