Best AI tools for< experiment with ai prompts >
20 - AI tool Sites
QPNOTES
QPNOTES is a web application that allows users to save and manage their AI prompts in one place. It provides a simple and easy-to-use interface for creating, organizing, and sharing prompts. With QPNOTES, users can keep track of their prompts, experiment with different variations, and collaborate with others on prompt development.
Illusion Diffusion
Illusion Diffusion is a free AI-powered tool that enhances photos by turning them into exquisite artworks through optical illusions and surreal effects. Users can upload images, add text prompts, and adjust various parameters to create unique and imaginative visuals. The AI models used in Illusion Diffusion allow for high customization and creativity, providing users with a platform to explore the intersection of art and technology.
Stablematic
Stablematic is a web-based platform that allows users to run Stable Diffusion and other machine learning models without the need for local setup or hardware limitations. It provides a user-friendly interface, pre-installed plugins, and dedicated GPU resources for a seamless and efficient workflow. Users can generate images and videos from text prompts, merge multiple models, train custom models, and access a range of pre-trained models, including Dreambooth and CivitAi models. Stablematic also offers API access for developers and dedicated support for users to explore and utilize the capabilities of Stable Diffusion and other machine learning models.
MusicGen AI
MusicGen AI is a free and advanced AI music generation tool developed by Meta. It utilizes a single Language Model (LM) to create high-quality music based on text descriptions, melodies, or audio prompts. MusicGen operates by encoding music into compressed tokens, which are then used to generate the music samples. It can produce music in various formats, including mono and stereo. MusicGen AI offers a range of features, including melody conditioning, text-conditional generation, audio-prompted generation, advanced model architecture, flexible generation modes, unconditional generation, extensive training dataset, and customizable generation process.
Audiobox
Audiobox is an AI tool developed by Meta that enables users to generate voices and sound effects using voice inputs and natural language text prompts. It offers a range of capabilities for creating custom audio content, including specialist models like Audiobox Speech and Audiobox Sound. The tool is built upon the shared self-supervised model Audiobox SSL, providing a foundation for safe and innovative audio generation.
ZenPrompts
ZenPrompts is a powerful prompt editor that helps you create, refine, test, and share prompts for AI models. It offers a variety of features to make prompt engineering easier and more efficient, including the ability to compare prompts across multiple models, showcase your prompt portfolio, experiment with prompts without losing work, share prompts with others, and use dynamic variables and comments to streamline your workflow.
Suno-Top
Suno-Top is a free AI-powered music downloader tool that allows users to easily download Suno music, including mp3 and mp4 files, lyrics, covers, and song prompts. Users can copy the Suno song link, paste it on the website, and download the desired content. Additionally, Suno-Top offers creative AI music crafting techniques, such as live performances, beat enhancements, instrumental nuances, and duet dynamics, to enhance musical creativity and collaboration. The tool supports various music genres and styles, providing a unique platform for users to explore and experiment with different musical compositions.
Bing Image Creator
Bing Image Creator is a powerful AI image generator that allows users to effortlessly create professional-looking Disney Pixar movie poster style images. By providing a few descriptive sentences, the AI model transforms ideas into captivating movie posters, unleashing users' imagination to visualize stunning creations. The tool is easy-to-use and free, enabling users to generate high-quality images by entering character names and detailed descriptions. Users can experiment with different prompts and keywords to achieve unique and personalized Disney-style posters.
Rebuff AI
Rebuff AI is an AI tool designed as a self-hardening prompt injection detector. It is built to strengthen its prompt detection capabilities when faced with attacks. The tool provides an interactive playground environment and an API for developers to experiment and integrate the prompt injection detection functionality into their applications. Rebuff AI aims to contribute to protecting the AI community by enhancing prompt security measures and fostering a safer AI ecosystem.
Freeplay
Freeplay is a tool that helps product teams experiment, test, monitor, and optimize AI features for customers. It provides a single pane of glass for the entire team, lightweight developer SDKs for Python, Node, and Java, and deployment options to meet compliance needs. Freeplay also offers best practices for the entire AI development lifecycle.
prmpts.AI
prmpts.AI is a prompt engineering sandbox that allows users to experiment with different prompts and see how they affect the output of AI models. It is a valuable tool for anyone who wants to learn more about prompt engineering or who wants to improve the performance of their AI models.
Google Labs
Google Labs is a website that showcases experimental AI tools and technology developed by Google. These tools are designed to help users explore the potential of AI in various fields, including creativity, productivity, and education. Some of the featured tools include: - **LABS.GOOGLE**: A platform for experimenting with the future of AI, including tools for creating images from text, generating music, and writing scripts for home automation. - **NotebookLM**: A personalized AI collaborator designed to help users with their thinking and writing. - **Say What You See**: A tool that helps users learn the art of prompting and improving their image-reading skills. - **Help Me Script**: A tool that turns text into home automation scripts for Google Home. - **ImageFX**: A tool that transforms text into images, allowing users to explore endless possibilities. - **Gen AI in Chrome**: A tool that creates themes with AI, organizes tabs, and helps users write more confidently on the web. - **MusicFX**: A tool that describes a musical idea and brings it to life. - **Duet AI**: A tool that helps users create, write, visualize, and organize in new ways with collaborative AI tools in Google Workspace. - **TextFX**: A tool that supercharges the writing process with AI-powered language tools.
Tattoo Design Pro
Tattoo Design Pro is an AI-powered application that allows users to transform their imagination into stunning tattoo designs in various styles. Whether starting with a simple prompt or uploading an existing sketch, the app uses AI magic to create unique and detailed designs. Customers can experiment with different designs, receive AI-generated suggestions, and easily choose the perfect tattoo design. The app provides a user-friendly interface and a wide range of features to help tattoo enthusiasts and artists in the design process.
Larity AI shop
Larity AI shop is an AI application that allows users to generate AI-designed T-shirts by simply providing a prompt. Users can bring their ideas to life through unique and captivating designs created by the AI t-shirt design generator. The application offers a realistic preview of the design with preferred colors and styles before shipping it directly to the user. Larity AI shop aims to bring AI to the real world through personalized fashion experiences.
GPT4Free
GPT4Free is a free playground for experimenting with ChatGPT without the hassle of APIs, logins, or restrictions. It offers a wide range of features, including a prompt library, organized chats, import/export functionality, customizable model parameters, and multiple language support. GPT4Free also provides access to GPT Reverse Proxy, allowing users to interact with GPT4 & GPT3.5 and GPT4 Vision from anywhere in the world.
Remodel AI
Remodel AI is an AI-powered application that allows users to generate inspiring interior and exterior concepts for house remodeling. With over 24580 remodeling designs generated, users can upload images of exteriors or interiors, customize various modes, select building types, styles, and quality levels. The application offers subscription plans and one-time fee options for users to access a wide range of remodeling styles and designs instantly.
Redesign With AI
Redesign With AI is an online platform that leverages artificial intelligence to make design easier and more creative. It offers users the ability to quickly generate high-quality design images, saving time and money compared to hiring a professional designer. The platform is user-friendly with intuitive interfaces, allowing users of all design experience levels to explore and experiment with unlimited creativity. Redesign With AI has received positive feedback from users who have found it helpful in creating various design elements such as icons, stickers, logos, and posters.
Local AI Playground
Local AI Playground is a free and open-source AI management tool designed for offline AI experimentation, verification, and inferencing. It offers a user-friendly native app with a Rust backend that is memory efficient and compact. The tool supports CPU inferencing, adapts to available threads, and provides features like GGML quantization and digest verification. Users can manage their AI models in one centralized location, start a local inferencing server with just 2 clicks, and benefit from upcoming features such as GPU inferencing and model management.
Beard Style AI
Beard Style AI is an AI-powered application that allows users to experiment with over 100 AI-generated beard styles in minutes. Users can upload their photos and see themselves with various beard styles without the need to actually grow or trim their facial hair. The application provides hyper-realistic results, fast turnaround time, and a fun way to explore different beard looks. With Beard Style AI, users can easily discover their perfect beard style and transform their appearance effortlessly.
AI Face Swap
AI Face Swap is a free online tool that allows users to swap faces in images using artificial intelligence (AI) technology. It is easy to use and requires no login. Users simply upload their photos and the AI will automatically swap the faces. The tool can be used to create funny memes, transform into anyone you desire, or simply experiment with different looks. AI Face Swap is a powerful tool that can be used for a variety of creative purposes.
20 - Open Source AI Tools
awesome-gpt-prompt-engineering
Awesome GPT Prompt Engineering is a curated list of resources, tools, and shiny things for GPT prompt engineering. It includes roadmaps, guides, techniques, prompt collections, papers, books, communities, prompt generators, Auto-GPT related tools, prompt injection information, ChatGPT plug-ins, prompt engineering job offers, and AI links directories. The repository aims to provide a comprehensive guide for prompt engineering enthusiasts, covering various aspects of working with GPT models and improving communication with AI tools.
plandex
Plandex is an open source, terminal-based AI coding engine designed for complex tasks. It uses long-running agents to break up large tasks into smaller subtasks, helping users work through backlogs, navigate unfamiliar technologies, and save time on repetitive tasks. Plandex supports various AI models, including OpenAI, Anthropic Claude, Google Gemini, and more. It allows users to manage context efficiently in the terminal, experiment with different approaches using branches, and review changes before applying them. The tool is platform-independent and runs from a single binary with no dependencies.
awesome-generative-ai
A curated list of Generative AI projects, tools, artworks, and models
awesome-RLAIF
Reinforcement Learning from AI Feedback (RLAIF) is a concept that describes a type of machine learning approach where **an AI agent learns by receiving feedback or guidance from another AI system**. This concept is closely related to the field of Reinforcement Learning (RL), which is a type of machine learning where an agent learns to make a sequence of decisions in an environment to maximize a cumulative reward. In traditional RL, an agent interacts with an environment and receives feedback in the form of rewards or penalties based on the actions it takes. It learns to improve its decision-making over time to achieve its goals. In the context of Reinforcement Learning from AI Feedback, the AI agent still aims to learn optimal behavior through interactions, but **the feedback comes from another AI system rather than from the environment or human evaluators**. This can be **particularly useful in situations where it may be challenging to define clear reward functions or when it is more efficient to use another AI system to provide guidance**. The feedback from the AI system can take various forms, such as: - **Demonstrations** : The AI system provides demonstrations of desired behavior, and the learning agent tries to imitate these demonstrations. - **Comparison Data** : The AI system ranks or compares different actions taken by the learning agent, helping it to understand which actions are better or worse. - **Reward Shaping** : The AI system provides additional reward signals to guide the learning agent's behavior, supplementing the rewards from the environment. This approach is often used in scenarios where the RL agent needs to learn from **limited human or expert feedback or when the reward signal from the environment is sparse or unclear**. It can also be used to **accelerate the learning process and make RL more sample-efficient**. Reinforcement Learning from AI Feedback is an area of ongoing research and has applications in various domains, including robotics, autonomous vehicles, and game playing, among others.
Awesome-Code-LLM
Analyze the following text from a github repository (name and readme text at end) . Then, generate a JSON object with the following keys and provide the corresponding information for each key, in lowercase letters: 'description' (detailed description of the repo, must be less than 400 words,Ensure that no line breaks and quotation marks.),'for_jobs' (List 5 jobs suitable for this tool,in lowercase letters), 'ai_keywords' (keywords of the tool,user may use those keyword to find the tool,in lowercase letters), 'for_tasks' (list of 5 specific tasks user can use this tool to do,in lowercase letters), 'answer' (in english languages)
MediaAI
MediaAI is a repository containing lectures and materials for Aalto University's AI for Media, Art & Design course. The course is a hands-on, project-based crash course focusing on deep learning and AI techniques for artists and designers. It covers common AI algorithms & tools, their applications in art, media, and design, and provides hands-on practice in designing, implementing, and using these tools. The course includes lectures, exercises, and a final project based on students' interests. Students can complete the course without programming by creatively utilizing existing tools like ChatGPT and DALL-E. The course emphasizes collaboration, peer-to-peer tutoring, and project-based learning. It covers topics such as text generation, image generation, optimization, and game AI.
HybridAGI
HybridAGI is the first Programmable LLM-based Autonomous Agent that lets you program its behavior using a **graph-based prompt programming** approach. This state-of-the-art feature allows the AGI to efficiently use any tool while controlling the long-term behavior of the agent. Become the _first Prompt Programmers in history_ ; be a part of the AI revolution one node at a time! **Disclaimer: We are currently in the process of upgrading the codebase to integrate DSPy**
AGI-Papers
This repository contains a collection of papers and resources related to Large Language Models (LLMs), including their applications in various domains such as text generation, translation, question answering, and dialogue systems. The repository also includes discussions on the ethical and societal implications of LLMs. **Description** This repository is a collection of papers and resources related to Large Language Models (LLMs). LLMs are a type of artificial intelligence (AI) that can understand and generate human-like text. They have a wide range of applications, including text generation, translation, question answering, and dialogue systems. **For Jobs** - **Content Writer** - **Copywriter** - **Editor** - **Journalist** - **Marketer** **AI Keywords** - **Large Language Models** - **Natural Language Processing** - **Machine Learning** - **Artificial Intelligence** - **Deep Learning** **For Tasks** - **Generate text** - **Translate text** - **Answer questions** - **Engage in dialogue** - **Summarize text**
rag-experiment-accelerator
The RAG Experiment Accelerator is a versatile tool that helps you conduct experiments and evaluations using Azure AI Search and RAG pattern. It offers a rich set of features, including experiment setup, integration with Azure AI Search, Azure Machine Learning, MLFlow, and Azure OpenAI, multiple document chunking strategies, query generation, multiple search types, sub-querying, re-ranking, metrics and evaluation, report generation, and multi-lingual support. The tool is designed to make it easier and faster to run experiments and evaluations of search queries and quality of response from OpenAI, and is useful for researchers, data scientists, and developers who want to test the performance of different search and OpenAI related hyperparameters, compare the effectiveness of various search strategies, fine-tune and optimize parameters, find the best combination of hyperparameters, and generate detailed reports and visualizations from experiment results.
amazon-sagemaker-generativeai
Repository for training and deploying Generative AI models, including text-text, text-to-image generation, prompt engineering playground and chain of thought examples using SageMaker Studio. The tool provides a platform for users to experiment with generative AI techniques, enabling them to create text and image outputs based on input data. It offers a range of functionalities for training and deploying models, as well as exploring different generative AI applications.
chatgpt-universe
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
learnopencv
LearnOpenCV is a repository containing code for Computer Vision, Deep learning, and AI research articles shared on the blog LearnOpenCV.com. It serves as a resource for individuals looking to enhance their expertise in AI through various courses offered by OpenCV. The repository includes a wide range of topics such as image inpainting, instance segmentation, robotics, deep learning models, and more, providing practical implementations and code examples for readers to explore and learn from.
generative-ai-cdk-constructs
The AWS Generative AI Constructs Library is an open-source extension of the AWS Cloud Development Kit (AWS CDK) that provides multi-service, well-architected patterns for quickly defining solutions in code to create predictable and repeatable infrastructure, called constructs. The goal of AWS Generative AI CDK Constructs is to help developers build generative AI solutions using pattern-based definitions for their architecture. The patterns defined in AWS Generative AI CDK Constructs are high level, multi-service abstractions of AWS CDK constructs that have default configurations based on well-architected best practices. The library is organized into logical modules using object-oriented techniques to create each architectural pattern model.
uptrain
UpTrain is an open-source unified platform to evaluate and improve Generative AI applications. We provide grades for 20+ preconfigured evaluations (covering language, code, embedding use cases), perform root cause analysis on failure cases and give insights on how to resolve them.
azure-search-openai-demo
This sample demonstrates a few approaches for creating ChatGPT-like experiences over your own data using the Retrieval Augmented Generation pattern. It uses Azure OpenAI Service to access a GPT model (gpt-35-turbo), and Azure AI Search for data indexing and retrieval. The repo includes sample data so it's ready to try end to end. In this sample application we use a fictitious company called Contoso Electronics, and the experience allows its employees to ask questions about the benefits, internal policies, as well as job descriptions and roles.
model.nvim
model.nvim is a tool designed for Neovim users who want to utilize AI models for completions or chat within their text editor. It allows users to build prompts programmatically with Lua, customize prompts, experiment with multiple providers, and use both hosted and local models. The tool supports features like provider agnosticism, programmatic prompts in Lua, async and multistep prompts, streaming completions, and chat functionality in 'mchat' filetype buffer. Users can customize prompts, manage responses, and context, and utilize various providers like OpenAI ChatGPT, Google PaLM, llama.cpp, ollama, and more. The tool also supports treesitter highlights and folds for chat buffers.
aws-genai-llm-chatbot
This repository provides code to deploy a chatbot powered by Multi-Model and Multi-RAG using AWS CDK on AWS. Users can experiment with various Large Language Models and Multimodal Language Models from different providers. The solution supports Amazon Bedrock, Amazon SageMaker self-hosted models, and third-party providers via API. It also offers additional resources like AWS Generative AI CDK Constructs and Project Lakechain for building generative AI solutions and document processing. The roadmap and authors are listed, along with contributors. The library is licensed under the MIT-0 License with information on changelog, code of conduct, and contributing guidelines. A legal disclaimer advises users to conduct their own assessment before using the content for production purposes.
20 - OpenAI Gpts
Better GPT Builder
Guides users in creating GPTs with a structured approach. Experimental! See https://github.com/allisonmorrell/gptbuilder for background, full prompts and files, and to submit ideas and issues.
BioChomps
Assume the role of a MAD SCIENTIST bent on creating the most powerful animal in this turn based creature creator AI battler!
Ask Cris about File Maker
An experiment in personal FileMaker guidance from the collective works of lifetime award-winning FileMaker trainer, Cris Ippolite. Not just links to resources, but direct access to 20+ years of custom training curriculum combined with expert AI instruction without the noise of external web links.
E&L and Pharmaceutical Regulatory Compliance AI
This GPT chat AI is specialized in understanding Extractables and Leachables studies, aligning with pharmaceutical guidelines, and aiding in the design and interpretation of relevant experiments.
Digital Experiment Analyst
Demystifying Experimentation and Causal Inference with 1-Sided Tests Focus
Case Digests on Demand (a Jurisage experiment)
Upload a court judgment and get back a collection of topical case digests based on the case. Oh - don't trust the "Topic 2210" or similar number, it's random. Also, probably best you not fully trust the output either. We're just playing with the GPT maker. More about us at Jurisage.com.
NYC Dog Data Guide
EXPERIMENT - Friendly expert on NYC dog license data from 2015-2016, with info on names, breeds and boroughs
Product Coach
Guiding your product journey with expert insights. Made by the team behind kraftful.com
Genetic Explorer
Innovative GPT in genetic engineering, compliant with OpenAI's usage policies
Experimental Splink helper v2
I'm Splink Helper, here to (try to) assist with the Splink Python library. I'm very experimental so don't expect my answers to be accurate