Coding & Development

Awesome-GPTs is a comprehensive, open-source GitHub repository featuring a vast collection of over 1000 GPTs, categorized into 10 distinct groups. This resource also includes more than 80 leaked prompts, offering valuable insights and examples for users interested in GPT applications. The project aims to provide a centralized hub for discovering and understanding diverse GPT implementations, making it a useful tool for developers, researchers, and AI enthusiasts. Its community-driven nature encourages contributions and continuous expansion of the collection, fostering an environment for shared knowledge and exploration within the AI community.

Image to prompt is an AI-powered tool hosted on Hugging Face Spaces that allows users to upload an image and receive a detailed descriptive caption as output. The application analyzes the visual content of the uploaded image and generates a comprehensive text description, which can then be used as a prompt for other AI art generation tools or for various creative and analytical purposes. This tool simplifies the process of translating visual information into structured text, making it easier to articulate complex visual concepts. It is designed to be straightforward and accessible, providing a quick way to get descriptive text from any image.

CrayEye, formerly PromptBoost AI Prompt Engineer, is a multimodal multitool designed to enhance interactions with AI chatbots by allowing users to craft and share sophisticated LLM vision prompts. This innovative platform integrates real-world context from device sensors and APIs, enabling AI to interpret environments in new ways. Users can experiment with visual multimodal models, customize prompts augmented by data like location and weather, and share their creations with others. The tool is free, open-source, and was developed using AI-driven methods, making it accessible for a wide range of users interested in advanced prompt engineering.

Pezzo is an open-source, developer-first LLMOps platform that provides comprehensive tools for managing and optimizing AI operations. It streamlines prompt design, offering version management and instant delivery capabilities. The platform facilitates collaboration among developers and includes robust features for troubleshooting and observability, allowing users to monitor their AI operations effectively. Pezzo aims to significantly reduce costs and latency associated with AI deployments, making it an ideal solution for developers looking to enhance their LLM workflows. It supports various clients including Node.js, Python, and LangChain, and integrates with open-source technologies like PostgreSQL, ClickHouse, Redis, and Supertokens.

PromptVisor is an advanced AI prompting tool designed to supercharge your experience with artificial intelligence. It offers access to leading AI models from Google, OpenAI, and Anthropic, enabling users to explore, experiment, and learn about AI and prompting techniques. The platform features dynamic prompting capabilities to enhance interaction and output quality. PromptVisor provides flexible pricing options, including pay-per-prompt or subscription models, and even offers free usage through referrals, making it accessible for various user needs.

prompt-injection-defenses is an open-source repository that compiles and categorizes various practical and proposed defense mechanisms against prompt injection attacks in large language models (LLMs). It offers a comprehensive overview of strategies such as blast radius reduction, which limits the impact of successful injections, and input pre-processing techniques like paraphrasing and retokenization to make adversarial prompts more difficult. The repository also details guardrails and overseers for monitoring inputs and outputs, taint tracking, and secure threads for dual LLM ensembles. It emphasizes the importance of robust security thinking, treating LLM productions as potentially malicious, and implementing least privilege principles for external service calls. This resource is invaluable for developers and security professionals building and securing LLM-powered applications.

sd-dynamic-prompts is a custom script designed for AUTOMATIC1111/stable-diffusion-webui, enabling users to generate a wide array of prompts through an expressive template language. It supports both random and combinatorial prompt generation, allowing for exhaustive testing of prompt and parameter variations. A key feature is its ability to handle deep wildcard directory structures, letting users pull random strings from files or match multiple files using fuzzy globbing. The extension also includes a 'Magic Prompt' feature, leveraging various prompt generation models to enhance and diversify prompts, making it particularly useful for artists and designers seeking creative inspiration and extensive prompt experimentation.

SPO (Self-Supervised Prompt Optimization) is an AI tool hosted on Hugging Face Spaces designed to enhance the performance of language models by optimizing user prompts. It allows users to create or select templates, configure various settings, and initiate an optimization process to achieve better responses from AI models. This application is particularly useful for prompt engineers and researchers looking to fine-tune their interactions with large language models, ensuring more accurate and relevant outputs through a self-supervised learning approach. The tool aims to streamline the prompt engineering workflow, making it easier to experiment with and improve prompt effectiveness.

StableDiffusion-CheatSheet is an open-source resource designed to assist users in exploring and utilizing Stable Diffusion styles. It functions as a personal cheat sheet, offering a vast collection of over 833 manually tested styles, complete with notes for offline access. Users can easily copy style prompts with a single click and leverage robust search and filter functionalities to find specific artists or styles. The tool also allows for checking image metadata without needing to launch Stable Diffusion, simply by dragging and dropping images. Additionally, it provides extra notes on art styles and a simple way to calculate image dimensions. A 'just the data' version is available for those who prefer information without preview images, including artist details, categories, and a list of artists checked but unknown to Stable Diffusion.

synthetic-data-kit is a powerful open-source tool developed by Meta Llama for generating high-quality synthetic datasets specifically designed to fine-tune Large Language Models. It streamlines the often complex process of data preparation, allowing users to create reasoning traces, QA pairs, and summaries from various input formats. The tool features a modular 4-command CLI flow: ingest, create, curate, and save-as, enabling users to process individual files or entire directories. It supports different LLM backends like vLLM or external API endpoints and can convert curated data into various fine-tuning formats such as Alpaca, OpenAI fine-tuning format, and ChatML. Additionally, it handles multimodal data, extracting both text and images, and offers intelligent chunking for large documents to maintain context and quality.

Image to Prompt AI is an advanced AI tool designed to transform images into detailed text prompts. Leveraging state-of-the-art AI technology, it accurately analyzes and understands image content, generating comprehensive descriptions that capture objects, composition, mood, and artistic elements. This tool is ideal for content creators, marketers, and SEO specialists looking to enhance image accessibility and optimization. It offers rapid processing, delivering instant text descriptions, and provides 20 free image-to-prompt conversions every 24 hours. Users can easily export generated text in multiple formats, making it versatile for various creative and professional applications.

ai-digest is a CLI tool designed to aggregate your entire codebase into a single Markdown file, making it easy to provide context to AI models such as Claude Projects or custom ChatGPTs. It automatically collects all files within specified directories, ignoring common build artifacts and configuration files by default. Users can customize ignore patterns and even minify files, replacing their content with placeholders to save on AI token counts while still acknowledging their existence. The tool offers options for whitespace removal, file size statistics with bar charts, and a watch mode for automatic rebuilding upon file changes, streamlining the development workflow with AI assistance.

awesome-chatgpt-code-interpreter-experiments is an open-source repository dedicated to exploring and pushing the boundaries of what's possible with ChatGPT's Code Interpreter. It offers a collection of experiments, pro tips, and 'jailbreaks' that demonstrate how to overcome common limitations, such as installing external Python packages, running non-Python code like Deno, and even integrating complex models like YOLOv8 for object detection. The repository also covers practical applications like face detection and tracking in videos, image classification using MNIST, and OCR for text extraction. It serves as a valuable resource for developers and AI enthusiasts looking to unlock the full potential of the Code Interpreter.

Open CoT Leaderboard is a platform designed to track, rank, and evaluate the Chain-of-Thought (CoT) quality of open large language models (LLMs). Hosted as a Hugging Face Space, it provides a centralized location for researchers and developers to browse and filter a leaderboard of LLM benchmarks. Users can submit their own models for evaluation, allowing for comparison against existing models and contributing to the collective understanding of LLM performance. The platform offers transparency into the evaluation process and the status of submitted models, making it a valuable resource for identifying top-performing open-source LLMs and advancing AI research.

SimpleTuner is a comprehensive, open-source fine-tuning kit designed for image, video, and audio diffusion models. It prioritizes simplicity and code understandability, making it an ideal academic exercise and collaborative development platform. The tool features a user-friendly web UI, multi-modal and multi-GPU training capabilities, and advanced caching for faster training. It supports various model architectures, including Stable Diffusion XL, Stable Diffusion 3, and Flux, with integrations for DeepSpeed and FSDP2 for memory optimization. SimpleTuner also includes enterprise-grade features like worker orchestration, SSO integration, role-based access control, and a job queue with priorities, all available for free.

tanuki.py is a tool designed to assist developers in building and optimizing applications powered by Large Language Models (LLMs). Its core focus is on enhancing the efficiency and cost-effectiveness of LLM-based applications. The tool incorporates prompt engineering techniques to refine LLM interactions and improve output quality. Additionally, it supports test-driven alignment, a methodology that ensures the LLM's behavior aligns with desired outcomes through systematic testing. This approach helps developers to iteratively improve the performance and reliability of their LLM applications, making them more robust and production-ready.

TypingMind on Setapp is an AI chat application designed to streamline interactions with a variety of AI models through a customizable and user-friendly interface. As part of the Setapp AI+ toolkit, it allows users to access powerful AI capabilities without needing individual API keys. The tool provides a centralized platform for managing conversations and leveraging the wisdom of advanced AI models. It's ideal for users looking for a single subscription to replace multiple AI services, offering a convenient way to ask questions and receive accurate, AI-powered responses.

Prompt Token Counter for OpenAI Models is an online tool designed to help users accurately count tokens for their prompts when working with OpenAI language models. This is crucial for staying within the models' token limits, which prevents requests from being rejected and helps manage costs effectively, as many models charge based on token usage. The tool allows users to input their prompt and instantly see the token count across various OpenAI models, including GPT-4o, GPT-4, and others. It also provides valuable information on what tokens are, why counting them is important, and best practices for optimizing prompts to fit within limits, ensuring efficient and cost-effective interactions with AI models.

Audio🌍MusicAI is an innovative AI tool hosted on Hugging Face Spaces that allows users to generate music simply by providing a text description. This application streams the generated audio, offering a unique way to create custom soundscapes. Users have control over several parameters, including the desired audio length, the streaming interval, and a seed for random generation, enabling a degree of customization in the output. It's designed for anyone looking to experiment with AI-driven music creation without needing extensive musical knowledge or complex software.

AI Prompt Randomizer is a practical tool designed to enhance prompt engineering by introducing variability. Users can define a prompt template with placeholders (e.g., {adjective}, {who}, {verb}) and then provide lists of variables for each placeholder. The tool then generates a specified number of unique prompts by randomly selecting values from these lists. This functionality is particularly useful for testing different AI model behaviors, exploring creative outputs, or generating diverse content ideas. It also offers an API for programmatic prompt generation, allowing developers to integrate its randomization capabilities into their own applications or workflows.

ai-in-the-terminal serves as a complete companion guide to NetworkChuck's 'AI in the Terminal' video, offering detailed instructions and resources for leveraging various AI tools directly from the command line. This repository helps users break free from browser-based AI limitations by enabling persistent context, file system access, and the ability to run multiple AI tools simultaneously on the same project. It covers individual tool guides for Gemini CLI, Claude Code, Codex, and opencode, alongside advanced workflows like context files, multi-tool integration, and AI agents. The guide also includes real-world examples for productivity, development, and homelab tasks, making it an invaluable resource for anyone looking to enhance their terminal-based AI capabilities.

TaoPrompt is an AI prompt generator designed to enhance interactions with various AI platforms, including popular models like ChatGPT, Gemini, and Claude. It specializes in taking basic user requests and converting them into sophisticated, well-structured prompts. This process aims to significantly improve the quality and relevance of the outputs received from AI systems. The tool is available as a Chrome Extension, offering convenient integration into a user's workflow. By streamlining the prompt creation process, TaoPrompt helps users, from developers to content creators, achieve more precise and effective results from their AI applications.

LLMadness is an innovative platform that applies the competitive bracket format of March Madness to the evaluation of Large Language Models (LLMs). It provides a structured and engaging way to compare the performance, capabilities, and nuances of various AI models against specific prompts or tasks, specifically predicting college basketball tournament outcomes. Users can observe how different LLMs fare in head-to-head challenges, offering insights into their strengths and weaknesses in areas like reasoning and accuracy. The platform features a leaderboard displaying model accuracy, cost tiebreakers, and championship picks, making complex model comparisons accessible and understandable for AI researchers, developers, and enthusiasts.

Supre is an AI music prompt tool designed to help users generate optimized Style prompts for Suno AI. It supports various Suno versions, including v3, v3.5, v4, v4.5, and v5. Users can meticulously craft their prompts by selecting primary genres, sub-style tags, emotional tones, energy levels, BPM, musical keys, and time signatures. The tool also offers extensive instrumentation options, mix character settings, and vocal style/texture choices. An optional feature allows users to upload a reference track or describe a sound to enhance prompt output, making it easier to achieve desired musical results with Suno AI.