AI/ML

Learn to create an image generation MCP (powered by Google’s Gemini model) which generates images based on user query and is used directly in Claude Desktop.

The Model Context Protocol (MCP) is an open-source standard that is designed to connect AI systems (especially large language models) with external data sources and tools.

This blog guides to build a Golang AI chatbot using OpenAI, including features like chat completion, conversation context management, and streaming responses.

Vercel AI Chatbot, Horizon UI ChatGPT, Fireship React Firebase Chat, React ChatGPT Clone, and Chatbot UI are 5 React AI chatbot templates you can deploy in minutes.

The main difference of AI agent vs chatbot is that agents take action to complete tasks, while chatbots are built mainly to reply meesages and follow fixed steps.

AI homework assistant, essay feedback tool, quiz & assignment generators, symptom checker, mental health chatbot, fitness coach app, etc, are 19 AI app ideas 2025

This guide implements a complete product recommendation system for a React machine learning app using TensorFlow and mentions performance optimization strategies.

Agentic AI (or AI agents) is a type of AI that can work on its own to complete tasks with little human supervision. It reason, plan, and act autonomously to reach its goals.

Tabnine is ideal for privacy-first needs with local AI, security control, and adaptability over time. Copilot is great for fast, powerful AI suggestions with no setup.

Cursor AI is ideal for developers who want more control over their coding environment and customizable workflows, while GitHub Copilot is better for quick code suggestions and deep GitHub integration.

6 typical cases would benefit from Explainable AI principles: Healthcare, Finance, Legal Systems, Autonomous Systems, Customer Services, and Software Development.

This guide dives deep into the four key principles of Responsible AI, including: fairness, transparency, accountability, and security & privacy protection.