Best AI tools for< Minify Code Output >

Your Source to Prompt is a single HTML file tool that allows users to easily select code files and combine them into a single text output. It runs entirely in the browser, ensuring local and secure operation without any external dependencies. The tool offers features like preset management, efficient file selection, context size awareness, hierarchical structure preview, minification, and user-friendly UI with dark mode. It aims to simplify the process of preparing code for Large Language Models (LLMs) by providing a well-structured prompt context.

ChatGPT is a large language model that can generate human-like text, translate languages, write different kinds of creative content, and answer your questions in a conversational way. It is trained on a massive amount of text data, and it is able to understand and respond to a wide range of natural language prompts. Here are 5 jobs suitable for this tool, in lowercase letters: 1. content writer 2. chatbot assistant 3. language translator 4. creative writer 5. researcher

AIA Podcast's AI Tools Catalog is a collection of AI-powered tools mentioned in the podcast. These tools can be beneficial for programming, content creation, and enhancing productivity. To contribute, users can add services by providing a brief description in the Telegram chat or suggest improvements by forking the repository and submitting a PR. Users can also report closed or inoperative tools through the creation of an Issue. The catalog is a valuable resource for discovering innovative AI tools and services.

MiKaPo is a web-based tool that allows users to pose MMD models in real-time using video input. It utilizes technologies such as Mediapipe for 3D key points detection, Babylon.js for 3D scene rendering, babylon-mmd for MMD model viewing, and Vite+React for the web framework. Users can upload videos and images, select different environments, and choose models for posing. MiKaPo also supports camera input and Ollama (electron version). The tool is open to feature requests and pull requests, with ongoing development to add VMD export functionality.

The edge2ai-workshop repository provides a hands-on workshop for building an IoT Predictive Maintenance workflow. It includes lab exercises for setting up components like NiFi, Streams Processing, Data Visualization, and more on a single host. The repository also covers use cases such as credit card fraud detection. Users can follow detailed instructions, prerequisites, and connectivity guidelines to connect to their cluster and explore various services. Additionally, troubleshooting tips are provided for common issues like MiNiFi not sending messages or CEM not picking up new NARs.

A helpful guide for file size reduction, offering tailored advice on various file types.

Advanced JSON formatting and validation tool.