Best AI tools for< Run Ai Experiments >

More Views AI is an AI tool designed to help YouTube content creators increase their view count by testing different video settings. The tool uses artificial intelligence to analyze video titles, suggest variations, and run A/B tests to determine the best-performing title. It offers features such as automatic A/B toggling, performance tracking, views optimization, AI-generated title suggestions, and thumbnail testing. Users can connect their YouTube account, set up experiments in seconds, and let the algorithm optimize their video titles to attract more views.

FARSPEAK.AI is an AI application that offers RESTful AI for databases, allowing users to query databases using natural language and deploy AI agents to enhance data processing. The application supports MongoDB Atlas, provides up-to-date embeddings, and offers both structured and unstructured data support. FARSPEAK simplifies work for AI engineers, app & web developers, and product designers by enabling faster AI feature development, natural language querying, and insights generation from data.

Comet ML is an extensible, fully customizable machine learning platform that aims to move ML forward by supporting productivity, reproducibility, and collaboration. It integrates with existing infrastructure and tools to manage, visualize, and optimize models from training runs to production monitoring. Users can track and compare training runs, create a model registry, and monitor models in production all in one platform. Comet's platform can be run on any infrastructure, enabling users to reshape their ML workflow and bring their existing software and data stack.

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.

Project Aeon is a leading AI video production tool that helps publishers convert text into monetizable videos. It creates high-quality videos aligned with brand guidelines, improves audience engagement, increases conversions, and optimizes video performance using AI technology. Aeon ensures brand consistency, analyzes content, storyboards, sources, and edits videos, and continually experiments to drive higher engagement. The tool is backed by world-class investors and has been selected to join prestigious accelerators run by Microsoft and NVIDIA.

Kameleoon is an AI-driven A/B testing platform and personalization tool designed to optimize web experiences through experimentation and feature management. It offers a single platform with AI-powered conversion capabilities, strong security features, and powerful integrations. Kameleoon caters to a wide range of industries, including E-commerce, Retail, Travel, Automotive, Financial Services, Media, Healthcare, and B2B SaaS. The platform enables users to run experiments, personalize content, manage features, and analyze real-time data to enhance user experiences and drive growth.

Practice Run AI is an online platform that offers AI-powered tools for various tasks. Users can utilize the application to practice and run AI algorithms without the need for complex setups or installations. The platform provides a user-friendly interface that allows individuals to experiment with AI models and enhance their understanding of artificial intelligence concepts. Practice Run AI aims to democratize AI education and make it accessible to a wider audience by simplifying the learning process and providing hands-on experience.

DecodeAI is a platform that showcases various AI applications and tools. It features a blog that covers AI-related topics, open-source repositories, and innovative AI projects. The platform aims to bridge the gap between AI technology and human users by providing valuable insights, tutorials, and resources in the field of artificial intelligence.

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.

LM Studio is an AI tool designed for discovering, downloading, and running local LLMs (Large Language Models). Users can run LLMs on their laptops offline, use models through an in-app Chat UI or a local server, download compatible model files from HuggingFace repositories, and discover new LLMs. The tool ensures privacy by not collecting data or monitoring user actions, making it suitable for personal and business use. LM Studio supports various models like ggml Llama, MPT, and StarCoder on Hugging Face, with minimum hardware/software requirements specified for different platforms.

Lumora is an AI tool designed to help users efficiently manage, optimize, and test prompts for various AI platforms. It offers features such as prompt organization, enhancement, testing, and development. Lumora aims to improve prompt outcomes and streamline prompt management for teams, providing a user-friendly interface and a playground for experimentation. The tool also integrates with various AI models for text, image, and video generation, allowing users to optimize prompts for better results.

NVIDIA Run:ai is an enterprise platform for AI workloads and GPU orchestration. It accelerates AI and machine learning operations by addressing key infrastructure challenges through dynamic resource allocation, comprehensive AI life-cycle support, and strategic resource management. The platform significantly enhances GPU efficiency and workload capacity by pooling resources across environments and utilizing advanced orchestration. NVIDIA Run:ai provides unparalleled flexibility and adaptability, supporting public clouds, private clouds, hybrid environments, or on-premises data centers.

GPUX is a cloud platform that provides access to GPUs for running AI workloads. It offers a variety of features to make it easy to deploy and run AI models, including a user-friendly interface, pre-built templates, and support for a variety of programming languages. GPUX is also committed to providing a sustainable and ethical platform, and it has partnered with organizations such as the Climate Leadership Council to reduce its carbon footprint.

Qualcomm AI Hub is a platform that allows users to run AI models on Snapdragon® 8 Elite devices. It provides a collaborative ecosystem for model makers, cloud providers, runtime, and SDK partners to deploy on-device AI solutions quickly and efficiently. Users can bring their own models, optimize for deployment, and access a variety of AI services and resources. The platform caters to various industries such as mobile, automotive, and IoT, offering a range of models and services for edge computing.

Backyard AI is an AI-powered platform that offers immersive text adventures with AI characters, enabling users to engage in chat and interactive stories without filters or censorship. Users can bring AI characters to life with expressive customizations and intricate worlds. The platform provides a Desktop App for running AI models locally and a Cloud service for fast and powerful AI models accessible from anywhere. Backyard AI prioritizes privacy and control by storing all data locally on the device and encrypting data at rest. It offers a range of language models and features like mobile tethering, automatic GPU acceleration, and secure chat in the browser.

Backyard AI is an AI-powered platform that offers immersive text adventures with AI characters, chat, and interactive stories. Users can bring AI characters to life with expressive customizations and explore intricate worlds through text RPG experiences. The platform provides a Desktop App for running AI models locally and cloud models for supercharging creativity. Backyard AI prioritizes privacy and control by storing data locally and encrypting it at rest. With a focus on user-friendly features and powerful AI language models, Backyard AI aims to provide an engaging and secure AI experience for users.

Mystic.ai is an AI tool designed to deploy and scale Machine Learning models with ease. It offers a fully managed Kubernetes platform that runs in your own cloud, allowing users to deploy ML models in their own Azure/AWS/GCP account or in a shared GPU cluster. Mystic.ai provides cost optimizations, fast inference, simpler developer experience, and performance optimizations to ensure high-performance AI model serving. With features like pay-as-you-go API, cloud integration with AWS/Azure/GCP, and a beautiful dashboard, Mystic.ai simplifies the deployment and management of ML models for data scientists and AI engineers.

Cortex Labs is a decentralized world computer that enables AI and AI-powered decentralized applications (dApps) to run on the blockchain. It offers a Layer2 solution called ZkMatrix, which utilizes zkRollup technology to enhance transaction speed and reduce fees. Cortex Virtual Machine (CVM) supports on-chain AI inference using GPU, ensuring deterministic results across computing environments. Cortex also enables machine learning in smart contracts and dApps, fostering an open-source ecosystem for AI researchers and developers to share models. The platform aims to solve the challenge of on-chain machine learning execution efficiently and deterministically, providing tools and resources for developers to integrate AI into blockchain applications.

Fifi.ai is a managed AI cloud platform that provides users with the infrastructure and tools to deploy and run AI models. The platform is designed to be easy to use, with a focus on plug-and-play functionality. Fifi.ai also offers a range of customization and fine-tuning options, allowing users to tailor the platform to their specific needs. The platform is supported by a team of experts who can provide assistance with onboarding, API integration, and troubleshooting.

RunPod is a cloud platform specifically designed for AI development and deployment. It offers a range of features to streamline the process of developing, training, and scaling AI models, including a library of pre-built templates, efficient training pipelines, and scalable deployment options. RunPod also provides access to a wide selection of GPUs, allowing users to choose the optimal hardware for their specific AI workloads.

The Eureka Framework is an open-source toolkit that leverages advanced Artificial Intelligence and Decentralized Science principles to revolutionize scientific discovery. It enables researchers, developers, and decentralized organizations to explore scientific papers, conduct AI-driven experiments, monetize research contributions, provide token-gated access to AI agents, and customize AI agents for specific research domains. The framework also offers features like a RESTful API, robust scheduler for task automation, and webhooks for real-time notifications, empowering users to automate research tasks, enhance productivity, and foster a committed research community.

Singulatron is an AI Superplatform that runs on your computer(s) and server(s) without using third party APIs, providing complete control over data and privacy. It offers AI functionality, user management, supports different database backends, collaboration, and mini-apps. It aims to be a desktop app for local usage and a distributed daemon for servers, with a web app frontend client. The tool is stack-based on Electron, Angular, and Go, and currently dual-licensed under AGPL-3.0-or-later and a commercial license.

The AI Scientist is a comprehensive system for fully automatic scientific discovery, enabling Foundation Models to perform research independently. It aims to tackle the grand challenge of developing agents capable of conducting scientific research and discovering new knowledge. The tool generates papers on various topics using Large Language Models (LLMs) and provides a platform for exploring new research ideas. Users can create their own templates for specific areas of study and run experiments to generate papers. However, caution is advised as the codebase executes LLM-written code, which may pose risks such as the use of potentially dangerous packages and web access.

A curated list of Generative AI projects, tools, artworks, and models

Gen-AI-Experiments is a structured collection of Jupyter notebooks and AI experiments designed to guide users through various AI tools, frameworks, and models. It offers valuable resources for both beginners and experienced practitioners, covering topics such as AI agents, model testing, RAG systems, real-world applications, and open-source tools. The repository includes folders with curated libraries, AI agents, experiments, LLM testing, open-source libraries, RAG experiments, and educhain experiments, each focusing on different aspects of AI development and application.

AI-video-boilerplate-simple is a free Live AI Video boilerplate for testing out live video AI experiments. It includes a simple Flask server that serves files, supports live video from various sources, and integrates with Roboflow for AI vision. Users can use this template for projects, research, business ideas, and homework. It is lightweight and can be deployed on popular cloud platforms like Replit, Vercel, Digital Ocean, or Heroku.

Dioptra is a software test platform for assessing the trustworthy characteristics of artificial intelligence (AI). It supports the NIST AI Risk Management Framework by providing functionality to assess, analyze, and track identified AI risks. Dioptra provides a REST API and can be controlled via a web interface or Python client for designing, managing, executing, and tracking experiments. It aims to be reproducible, traceable, extensible, interoperable, modular, secure, interactive, shareable, and reusable.

The 'Generative AI with JavaScript' repository is a comprehensive resource hub for JavaScript developers interested in delving into the world of Generative AI. It provides code samples, tutorials, and resources from a video series, offering best practices and tips to enhance AI skills. The repository covers the basics of generative AI, guides on building AI applications using JavaScript, from local development to deployment on Azure, and scaling AI models. It is a living repository with continuous updates, making it a valuable resource for both beginners and experienced developers looking to explore AI with JavaScript.

KitchenAI is an open-source toolkit designed to simplify AI development by serving as an AI backend and LLMOps solution. It aims to empower developers to focus on delivering results without being bogged down by AI infrastructure complexities. With features like simplifying AI integration, providing an AI backend, and empowering developers, KitchenAI streamlines the process of turning AI experiments into production-ready APIs. It offers built-in LLMOps features, is framework-agnostic and extensible, and enables faster time-to-production. KitchenAI is suitable for application developers, AI developers & data scientists, and platform & infra engineers, allowing them to seamlessly integrate AI into apps, deploy custom AI techniques, and optimize AI services with a modular framework. The toolkit eliminates the need to build APIs and infrastructure from scratch, making it easier to deploy AI code as production-ready APIs in minutes. KitchenAI also provides observability, tracing, and evaluation tools, and offers a Docker-first deployment approach for scalability and confidence.

Here we will keep track of the AI Game Development Tools, including LLM, Agent, Code, Writer, Image, Texture, Shader, 3D Model, Animation, Video, Audio, Music, Singing Voice and Analytics. 🔥 * Tool (AI LLM) * Game (Agent) * Code * Framework * Writer * Image * Texture * Shader * 3D Model * Avatar * Animation * Video * Audio * Music * Singing Voice * Speech * Analytics * Video Tool

Notes on AI state of the art, with a focus on generative and large language models. These are the "raw materials" for the https://lspace.swyx.io/ newsletter. This repo used to be called https://github.com/sw-yx/prompt-eng, but was renamed because Prompt Engineering is Overhyped. This is now an AI Engineering notes repo.

OpenVINO™ Model Server (OVMS) is a high-performance system for serving models. Implemented in C++ for scalability and optimized for deployment on Intel architectures, the model server uses the same architecture and API as TensorFlow Serving and KServe while applying OpenVINO for inference execution. Inference service is provided via gRPC or REST API, making deploying new algorithms and AI experiments easy.

The Vertex AI SDK for Python is a library that provides a convenient way to use the Vertex AI API. It offers a high-level interface for creating and managing Vertex AI resources, such as datasets, models, and endpoints. The SDK also provides support for training and deploying custom models, as well as using AutoML models. With the Vertex AI SDK for Python, you can quickly and easily build and deploy machine learning models on Vertex AI.

Awesome LLM Apps is a curated collection of applications that leverage RAG with OpenAI, Anthropic, Gemini, and open-source models. The repository contains projects such as Local Llama-3 with RAG for chatting with webpages locally, Chat with Gmail for interacting with Gmail using natural language, Chat with Substack Newsletter for conversing with Substack newsletters using GPT-4, Chat with PDF for intelligent conversation based on PDF documents, and Chat with YouTube Videos for engaging with YouTube video content through natural language. Users can clone the repository, navigate to specific project directories, install dependencies, and follow project-specific instructions to set up and run the apps. Contributions are encouraged, and new app ideas or improvements can be submitted via pull requests.

Collective Mind (CM) is a collection of portable, extensible, technology-agnostic and ready-to-use automation recipes with a human-friendly interface (aka CM scripts) to unify and automate all the manual steps required to compose, run, benchmark and optimize complex ML/AI applications on any platform with any software and hardware: see online catalog and source code. CM scripts require Python 3.7+ with minimal dependencies and are continuously extended by the community and MLCommons members to run natively on Ubuntu, MacOS, Windows, RHEL, Debian, Amazon Linux and any other operating system, in a cloud or inside automatically generated containers while keeping backward compatibility - please don't hesitate to report encountered issues here and contact us via public Discord Server to help this collaborative engineering effort! CM scripts were originally developed based on the following requirements from the MLCommons members to help them automatically compose and optimize complex MLPerf benchmarks, applications and systems across diverse and continuously changing models, data sets, software and hardware from Nvidia, Intel, AMD, Google, Qualcomm, Amazon and other vendors: * must work out of the box with the default options and without the need to edit some paths, environment variables and configuration files; * must be non-intrusive, easy to debug and must reuse existing user scripts and automation tools (such as cmake, make, ML workflows, python poetry and containers) rather than substituting them; * must have a very simple and human-friendly command line with a Python API and minimal dependencies; * must require minimal or zero learning curve by using plain Python, native scripts, environment variables and simple JSON/YAML descriptions instead of inventing new workflow languages; * must have the same interface to run all automations natively, in a cloud or inside containers. CM scripts were successfully validated by MLCommons to modularize MLPerf inference benchmarks and help the community automate more than 95% of all performance and power submissions in the v3.1 round across more than 120 system configurations (models, frameworks, hardware) while reducing development and maintenance costs.

run the embedded code

Machiavellian advisor to help you rule in business, politics and finance.

Java & Python programming assistant for AI model inference.

Dynamic D&D expert with narrative and rules mastery.

Run Golang code in ChatGPT

GPT Dungeon Crawler

Enhance D&D campaigns with Roll20 setup and custom token creation.

Interactive RPG guide for personalized fantasy adventures with elements of chance.

A digital marketing copilot, offering insights and suggestions in various marketing areas.

A TRPG Game Master, methodical in questioning

Adventure and encounter assistant for the game of Creatures & Chronicles

Dungeon Master For D&D

Get to know the sytem behind GPT

Your personal GM for 'Call of Cthulhu'

Generador de tweets y asesor de ideas en Español

Define best social media platform for your marketing needs.

Run mock interviews, review content and get tips to ace strategy consulting and investment banking interviews

I help create and run productive design thinking sessions.

Download and Run Open Source LLMs Locally.

Your new DM's screen: helping Dungeon Masters to craft & run amazing D&D adventures.