Best AI tools for< Experiment With Code >

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.

Text-GPT-p5 is a text to p5.js generative editor powered by GPT-4o-mini. It allows users to input text prompts and generate p5.js code for various visual animations and effects. Users can create animations such as Conway's Game of Life, 2D flocking animation, 3D forms, radial lines, gravity balls, bouncing balls, color noise, static, and zen ripples. The tool provides quick tips to help users achieve better results in their creations. Created by Matte Lim, Text-GPT-p5 offers a user-friendly interface for generating code and visualizing creative ideas.

Stable Diffusion AI is an online platform that utilizes deep learning techniques to generate high-quality design images quickly and efficiently. It offers a user-friendly interface for users with varying levels of design experience to explore and experiment with unlimited creative ideas. The platform is cost-effective, saving time and money compared to hiring a professional designer. Stable Diffusion AI is an open-source project, allowing users to access and modify its code for their needs.

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.

Joia is a private ChatGPT alternative built for collaboration within teams. It provides secure access to various large language models (LLMs) like GPT-4, Claude, and Gemini, allowing teams to build and share internal AI chat applications. Joia prioritizes data security, cost control, and offers a more affordable option compared to ChatGPT for Teams, with savings of up to 70%. It enables users to experiment with different LLMs and create personalized chatbots for repetitive tasks, enhancing team collaboration and efficiency.

Tracecat is an open-source security automation platform that helps you automate security alerts, build AI-assisted workflows, orchestrate alerts, and close cases fast. It is a Tines / Splunk SOAR alternative that is built for builders and allows you to experiment for free. You can deploy Tracecat on your own infrastructure or use Tracecat Cloud with no maintenance overhead. Tracecat is Apache-2.0 licensed, which means it is open vision, open community, and open development. You can have your say in the future of security automation. Tracecat is no-code first, but you can also code as well. You can build automations fast with no-code and customize without vendor lock-in using Python. Tracecat has a click-and-drag workflow builder that allows you to automate SecOps using pre-built actions (API calls, webhooks, data transforms, AI tasks, and more) combined into workflows. No code is required. Tracecat also has a built-in case management system that allows you to open cases directly from workflows and track and manage security incidents all in one platform.

Experiments with Google is a website that showcases a collection of experiments created by coders using Chrome, Android, AI, AR, and more. The experiments are designed to inspire others to create new experiments and explore the possibilities of these technologies. The website also provides helpful tools and resources for creating experiments.

Qlik AutoML is an AI tool that offers automated machine learning for analytics teams. It allows users to create machine learning experiments, identify key drivers in data, train models, and make predictions. With a focus on no-code machine learning, Qlik AutoML simplifies the process of generating predictive models and understanding outcomes. The tool enables users to explore predictive data, test what-if scenarios, and leverage AI-powered connectors for seamless integration with other AI and machine learning tools.

GPTavern is an AI tool that offers a variety of features for coding, research, art, and more. It provides tools like Grimoire, Gifpt, Researchoor, and Cauldron Fortune Teller for various tasks. Users can access Tech experiments, Emotion Shaman, Soothe Sayer, and more to enhance their projects. The platform also includes features like Custom GPT building, Evolution Chamber, and Spellbook for Hotkeys. GPTavern aims to provide a versatile AI tool for a wide range of users.

The AI Website & Landing Pages tool allows users to create AI-designed websites and landing pages in just 10 seconds. It offers a streamlined experience with features such as AI design and copy, free and custom domains, analytics and insights, A/B testing, AI sales and support chatbot, SEO optimization, free image and video library, custom forms, webhook integration, auto page translation, high-speed streaming, adaptive design, curated playlists, and more. Users can optimize their results with AB testing, AI-generated versions, quick experiments, and in-depth reports. The tool also enables users to run ads globally, create multilingual landing pages, and reach a global audience with fast campaigns. It provides effortless editing with 1-click edit and publish functionality, instant previews, and seamless publishing. The tool is user-friendly, requiring no code or drag-and-drop actions, making website and landing page creation quick and easy.

DagsHub is an open source data science collaboration platform that helps AI teams build better models and manage data projects. It provides a central location for data, code, experiments, and models, making it easy for teams to collaborate and track their progress. DagsHub also integrates with a variety of popular data science tools and frameworks, making it a powerful tool for data scientists and machine learning engineers.

DecodeAI is an experimental concept for an automatic blog about AI, generated by AI and curated by human. The blog mainly focuses on AI-related GitHub open-source repositories but is not limited to that. It features tools like Cody, an AI coding assistant, Jan, an open-source offline AI desktop tool, and Open Interpreter, which allows language models to execute code locally. DecodeAI aims to provide valuable insights and resources for developers interested in AI technologies.

pl.aiwright is an AI-powered dialogue generation tool designed for interactive narratives. It offers features such as analyzing and clustering large dialogue graphs, dialogue generation using a mix of code and natural language, playtests for gathering user feedback, and tools for experimental analysis. The tool enables users to create engaging dialogues for storytelling and gaming purposes.

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.

Local AI Playground (local.ai) is an AI management, verification, and inferencing tool that allows users to experiment with AI offline and in private without the need for a GPU. It is a native app designed to simplify the AI process, offering features such as CPU inferencing, model management, and digest verification. The tool is memory efficient and compact, with upcoming features including GPU inferencing and custom sorting. Users can start a local streaming server for AI inferencing in just 2 clicks, making it a versatile and user-friendly AI application.

LABS.GOOGLE is a platform where users can experiment with the future of AI through various tools and applications. It offers a wide range of AI-powered features and experiences, from visual artists reimagining classic works to transforming text into images and videos. Users can explore AI in different domains such as music, writing, education, and more. The platform aims to showcase the potential of AI technology and its applications in everyday life.

Outfit Anyone AI is a groundbreaking virtual try-on technology developed by the Institute for Intelligent Computing at Alibaba Group. It revolutionizes the virtual fashion experience by offering ultra-high quality and realistic try-on experiences for any clothing on any person. The platform utilizes advanced AI models to process images of clothing and models, ensuring lifelike results that consider factors like pose and body shape. With a focus on inclusivity, versatility, and animation support, Outfit Anyone AI aims to redefine the way users explore fashion.

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.

CustomerGlu is a gamification platform designed to supercharge app growth through in-app monetization. It offers a variety of gamified user journeys to enhance activation, retention, and user delight. With features like ready templates, personalized recommendations, surveys, and engagement challenges, CustomerGlu helps businesses improve key metrics and build stronger relationships with users. The platform enables quick idea-to-launch with over 50 templates, real-time reporting, personalization, and seamless integration with existing tools. CustomerGlu is trusted by growth teams for its proven results in boosting conversions, retention rates, and engagement levels.

Remodel AI is an AI-powered application that allows users to generate inspiring interior and exterior concepts for their homes in less than 30 seconds. With over 24,580 remodeling designs generated, Remodel AI revolutionizes home remodeling by providing users with the ability to visualize fully remodeled versions of their homes, including new flooring, wall treatments, and furniture layouts. The application offers customization options for both interior and exterior remodeling, catering to various building types and facade styles. Users can choose from different quality levels and design styles to fit their needs, with the option for one-time fees or monthly subscriptions. Remodel AI ensures a seamless and effortless remodeling experience, making it a go-to tool for homeowners, interior designers, and anyone looking to transform their living spaces.

llm-analysis is a tool designed for Latency and Memory Analysis of Transformer Models for Training and Inference. It automates the calculation of training or inference latency and memory usage for Large Language Models (LLMs) or Transformers based on specified model, GPU, data type, and parallelism configurations. The tool helps users to experiment with different setups theoretically, understand system performance, and optimize training/inference scenarios. It supports various parallelism schemes, communication methods, activation recomputation options, data types, and fine-tuning strategies. Users can integrate llm-analysis in their code using the `LLMAnalysis` class or use the provided entry point functions for command line interface. The tool provides lower-bound estimations of memory usage and latency, and aims to assist in achieving feasible and optimal setups for training or inference.

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.

BambooAI is a lightweight library utilizing Large Language Models (LLMs) to provide natural language interaction capabilities, much like a research and data analysis assistant enabling conversation with your data. You can either provide your own data sets, or allow the library to locate and fetch data for you. It supports Internet searches and external API interactions.

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.

LLMWare is a framework for quickly developing LLM-based applications including Retrieval Augmented Generation (RAG) and Multi-Step Orchestration of Agent Workflows. This project provides a comprehensive set of tools that anyone can use - from a beginner to the most sophisticated AI developer - to rapidly build industrial-grade, knowledge-based enterprise LLM applications. Our specific focus is on making it easy to integrate open source small specialized models and connecting enterprise knowledge safely and securely.

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**

The ai-explorables repository contains code for AI Explorables, a tool that allows users to make changes in the source code and view the changes locally. It is not an officially supported Google product.

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.

ClearML is a suite of tools designed to streamline the machine learning workflow. It includes an experiment manager, MLOps/LLMOps, data management, and model serving capabilities. ClearML is open-source and offers a free tier hosting option. It supports various ML/DL frameworks and integrates with Jupyter Notebook and PyCharm. ClearML provides extensive logging capabilities, including source control info, execution environment, hyper-parameters, and experiment outputs. It also offers automation features, such as remote job execution and pipeline creation. ClearML is designed to be easy to integrate, requiring only two lines of code to add to existing scripts. It aims to improve collaboration, visibility, and data transparency within ML teams.

GPTMe is a tool that allows users to interact with an LLM assistant directly in their terminal in a chat-style interface. The tool provides features for the assistant to run shell commands, execute code, read/write files, and more, making it suitable for various development and terminal-based tasks. It serves as a local alternative to ChatGPT's 'Code Interpreter,' offering flexibility and privacy when using a local model. GPTMe supports code execution, file manipulation, context passing, self-correction, and works with various AI models like GPT-4. It also includes a GitHub Bot for requesting changes and operates entirely in GitHub Actions. In progress features include handling long contexts intelligently, a web UI and API for conversations, web and desktop vision, and a tree-based conversation structure.

Sage is a tool that allows users to chat with any codebase, providing a chat interface for code understanding and integration. It simplifies the process of learning how a codebase works by offering heavily documented answers sourced directly from the code. Users can set up Sage locally or on the cloud with minimal effort. The tool is designed to be easily customizable, allowing users to swap components of the pipeline and improve the algorithms powering code understanding and generation.

Activepieces is an open source replacement for Zapier, designed to be extensible through a type-safe pieces framework written in Typescript. It features a user-friendly Workflow Builder with support for Branches, Loops, and Drag and Drop. Activepieces integrates with Google Sheets, OpenAI, Discord, and RSS, along with 80+ other integrations. The list of supported integrations continues to grow rapidly, thanks to valuable contributions from the community. Activepieces is an open ecosystem; all piece source code is available in the repository, and they are versioned and published directly to npmjs.com upon contributions. If you cannot find a specific piece on the pieces roadmap, please submit a request by visiting the following link: Request Piece Alternatively, if you are a developer, you can quickly build your own piece using our TypeScript framework. For guidance, please refer to the following guide: Contributor's Guide

Generative Models by Stability AI is a repository that provides various generative models for research purposes. It includes models like Stable Video 4D (SV4D) for video synthesis, Stable Video 3D (SV3D) for multi-view synthesis, SDXL-Turbo for text-to-image generation, and more. The repository focuses on modularity and implements a config-driven approach for building and combining submodules. It supports training with PyTorch Lightning and offers inference demos for different models. Users can access pre-trained models like SDXL-base-1.0 and SDXL-refiner-1.0 under a CreativeML Open RAIL++-M license. The codebase also includes tools for invisible watermark detection in generated images.

This repository contains the training code of LLM-QAT for large language models. The work investigates quantization-aware training for LLMs, including quantizing weights, activations, and the KV cache. Experiments were conducted on LLaMA models of sizes 7B, 13B, and 30B, at quantization levels down to 4-bits. Significant improvements were observed when quantizing weight, activations, and kv cache to 4-bit, 8-bit, and 4-bit, respectively.

HippoRAG is a novel retrieval augmented generation (RAG) framework inspired by the neurobiology of human long-term memory that enables Large Language Models (LLMs) to continuously integrate knowledge across external documents. It provides RAG systems with capabilities that usually require a costly and high-latency iterative LLM pipeline for only a fraction of the computational cost. The tool facilitates setting up retrieval corpus, indexing, and retrieval processes for LLMs, offering flexibility in choosing different online LLM APIs or offline LLM deployments through LangChain integration. Users can run retrieval on pre-defined queries or integrate directly with the HippoRAG API. The tool also supports reproducibility of experiments and provides data, baselines, and hyperparameter tuning scripts for research purposes.

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 the ChatGPT model (gpt-35-turbo), and Azure AI Search for data indexing and retrieval.

The Universal Numbers Library is a header-only C++ template library designed for universal number arithmetic, offering alternatives to native integer and floating-point for mixed-precision algorithm development and optimization. It tailors arithmetic types to the application's precision and dynamic range, enabling improved application performance and energy efficiency. The library provides fast implementations of special IEEE-754 formats like quarter precision, half-precision, and quad precision, as well as vendor-specific extensions. It supports static and elastic integers, decimals, fixed-points, rationals, linear floats, tapered floats, logarithmic, interval, and adaptive-precision integers, rationals, and floats. The library is suitable for AI, DSP, HPC, and HFT algorithms.

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.

Explore a wide range of shoe styles and learn about design with AI-generated images.

Assume the role of a MAD SCIENTIST bent on creating the most powerful animal in this turn based creature creator AI battler!

Artisan of spirits and guide to cocktail-cuisine harmony.

あなたの写真に基づいてヘアカラーを提案し、製品を紹介します。

Offers styling advice focusing on vintage and retro fashion trends.

Experto en fotografía analógica y técnicas de cuarto oscuro.

Assists in finding the perfect coffee grind size based on grinder and coffee.

A creative chef assistant for generating original recipes.

I suggest hairstyles based on your selfie.

Engaging science experiment assistant with humor

Demystifying Experimentation and Causal Inference with 1-Sided Tests Focus

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.

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.

EXPERIMENT - Friendly expert on NYC dog license data from 2015-2016, with info on names, breeds and boroughs

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.

In-depth atheism discussions with debates, experiments, and learning paths

Guiding your product journey with expert insights. Made by the team behind kraftful.com

Innovative GPT in genetic engineering, compliant with OpenAI's usage policies

Hello I'm Glass Blower, Laboratory Apparatus Assistant! What would you like help with today?