TorchServe is PyTorch’s official model serving framework, designed to take a trained PyTorch model from a .pt or .pth file to a production HTTP endpoint with minimal configuration. It handles the serving infrastructure — request batching, multi-model management, logging, metrics, and health checks — so you can focus on your model and handler logic rather … Read more
Cursor’s MCP support lets you connect external tools — databases, APIs, file systems, web search, internal services — directly to the AI inside your IDE. Once connected, Cursor’s AI can query your database while reviewing code, search internal documentation while writing a feature, or read a GitHub issue while implementing a fix — all without … Read more
ONNX Runtime is a high-performance inference engine for machine learning models in the ONNX (Open Neural Network Exchange) format. It accelerates model inference across CPUs, GPUs, and specialised hardware, with optimisations that often produce 2–10x speedups over running the same model in its original framework. For teams deploying ML models in production — whether on … Read more
The MCP Web Search Server gives AI assistants the ability to search the web during a conversation, pulling in current information that goes beyond their training data cutoff. Instead of the AI saying “I don’t have information about recent events,” it can search, read results, and answer with up-to-date data. For developers, analysts, and researchers … Read more
Playwright is Microsoft’s browser automation library, and when paired with an LLM it becomes a powerful foundation for AI agents that can interact with websites autonomously. Unlike browser-use, which wraps Playwright with its own agent layer, building a Playwright AI agent directly gives you complete control over how the agent interacts with the browser, how … Read more
The MCP Database Server connects AI assistants directly to your database, letting them query data, inspect schemas, and answer questions about your data in natural language without requiring you to write SQL or export data manually. Instead of asking “how do I write a query to find all users who signed up last month and … Read more
browser-use is an open-source Python library that connects AI agents to a real web browser, letting them navigate websites, fill forms, click buttons, extract information, and interact with web applications through natural language instructions. Unlike web scraping libraries that parse static HTML, browser-use controls an actual browser — it handles JavaScript-rendered content, authentication flows, multi-step … Read more
The MCP Filesystem Server gives AI assistants like Claude direct access to read and write files on your local machine or a specified directory. Rather than copying file contents into a chat manually, you connect the server once and the AI can browse directories, read files, create new ones, and make edits — all through … Read more
An AI agent for data analysis combines a language model with tools that execute code, query databases, and read files — letting you describe analytical questions in plain language and receive working analysis in return. Rather than writing pandas or SQL yourself, you describe what you want to understand about the data and the agent … Read more
GPT-4o’s vision capabilities allow you to send images alongside text prompts and receive detailed, contextually aware responses about what the model sees. Released as part of GPT-4o in mid-2024, the vision API accepts standard image formats, handles multiple images per request, and produces responses that range from simple descriptions to complex reasoning about visual content. … Read more
