Best AI tools for< Run Ai Applications >

Awan LLM is an AI tool that offers an Unlimited Tokens, Unrestricted, and Cost-Effective LLM Inference API Platform for Power Users and Developers. It allows users to generate unlimited tokens, use LLM models without constraints, and pay per month instead of per token. The platform features an AI Assistant, AI Agents, Roleplay with AI companions, Data Processing, Code Completion, and Applications for profitable AI-powered applications.

BentoML is a platform for software engineers to build, ship, and scale AI products. It provides a unified AI application framework that makes it easy to manage and version models, create service APIs, and build and run AI applications anywhere. BentoML is used by over 1000 organizations and has a global community of over 3000 members.

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.

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.

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.

Radicalbit is an MLOps and AI Observability platform that helps businesses deploy, serve, observe, and explain their AI models. It provides a range of features to help data teams maintain full control over the entire data lifecycle, including real-time data exploration, outlier and drift detection, and model monitoring in production. Radicalbit can be seamlessly integrated into any ML stack, whether SaaS or on-prem, and can be used to run AI applications in minutes.

TitanML is a platform that provides tools and services for deploying and scaling Generative AI applications. Their flagship product, the Titan Takeoff Inference Server, helps machine learning engineers build, deploy, and run Generative AI models in secure environments. TitanML's platform is designed to make it easy for businesses to adopt and use Generative AI, without having to worry about the underlying infrastructure. With TitanML, businesses can focus on building great products and solving real business problems.

MimicPC is a web-based platform that allows users to run various AI applications directly in their browser without the need for installation. Users can access a wide range of AI tools and applications seamlessly, making it convenient for both professionals and enthusiasts to leverage the power of artificial intelligence. With MimicPC, users can perform tasks such as image recognition, natural language processing, and data analysis with ease.

Sink In is a cloud-based platform that provides access to Stable Diffusion AI image generation models. It offers a variety of models to choose from, including majicMIX realistic, MeinaHentai, AbsoluteReality, DreamShaper, and more. Users can generate images by inputting text prompts and selecting the desired model. Sink In charges $0.0015 for each 512x512 image generated, and it offers a 99.9% reliability guarantee for images generated in the last 30 days.

Raman Labs is an AI tool that offers dedicated modules for computer vision-based tasks. It allows users to integrate machine learning functionality into their existing applications with just 2 lines of code, ensuring real-time performance even with high-resolution data on consumer-grade CPUs. The tool provides a clean and minimalistic API for easy integration, robust to large scale and resolution variations, versatile to run on various platforms, and adaptive to scale with the computing power of the system.

Cerebium is a serverless AI infrastructure platform that allows teams to build, test, and deploy AI applications quickly and efficiently. With a focus on speed, performance, and cost optimization, Cerebium offers a range of features and tools to simplify the development and deployment of AI projects. The platform ensures high reliability, security, and compliance while providing real-time logging, cost tracking, and observability tools. Cerebium also offers GPU variety and effortless autoscaling to meet the diverse needs of developers and businesses.

Groq is a fast AI inference tool that offers GroqCloud™ Platform and GroqRack™ Cluster for developers to build and deploy AI models with ultra-low-latency inference. It provides instant intelligence for openly-available models like Llama 3.1 and is known for its speed and compatibility with other AI providers. Groq powers leading openly-available AI models and has gained recognition in the AI chip industry. The tool has received significant funding and valuation, positioning itself as a strong challenger to established players like Nvidia.

Lunary is an AI developer platform designed to bring AI applications to production. It offers a comprehensive set of tools to manage, improve, and protect LLM apps. With features like Logs, Metrics, Prompts, Evaluations, and Threads, Lunary empowers users to monitor and optimize their AI agents effectively. The platform supports tasks such as tracing errors, labeling data for fine-tuning, optimizing costs, running benchmarks, and testing open-source models. Lunary also facilitates collaboration with non-technical teammates through features like A/B testing, versioning, and clean source-code management.

HostAI is a platform that allows users to host their artificial intelligence models and applications with ease. It provides a user-friendly interface for managing and deploying AI projects, eliminating the need for complex server setups. With HostAI, users can seamlessly run their AI algorithms and applications in a secure and efficient environment. The platform supports various AI frameworks and libraries, making it versatile for different AI projects. HostAI simplifies the process of AI deployment, enabling users to focus on developing and improving their AI models.

Pinokio is a browser that enables users to easily install, run, and programmatically control various AI applications with just one click. It provides a platform for exploring, learning, and sharing scripts created by the community. Pinokio supports a wide range of AI tools and applications for tasks such as video editing, image manipulation, text-to-speech, image generation, and more.

Paperspace is an AI tool designed to develop, train, and deploy AI models of any size and complexity. It offers a cloud GPU platform for accelerated computing, with features such as GPU cloud workflows, machine learning solutions, GPU infrastructure, virtual desktops, gaming, rendering, 3D graphics, and simulation. Paperspace provides a seamless abstraction layer for individuals and organizations to focus on building AI applications, offering low-cost GPUs with per-second billing, infrastructure abstraction, job scheduling, resource provisioning, and collaboration tools.

aify is an AI-native application framework and runtime that allows users to build AI-native applications quickly and easily. With aify, users can create applications by simply writing a YAML file. The platform also offers a ready-to-use AI chatbot UI for seamless integration. Additionally, aify provides features such as Emoji express for searching emojis by semantics. The framework is open source under the MIT license, making it accessible to developers of all levels.

Clevis is a platform that allows users to build and sell AI-powered applications without the need for coding. With a variety of pre-built processing steps, users can create apps with features like text generation, image generation, and web scraping. Clevis provides an easy-to-use editor, templates, sharing options, and API integration to help users launch their AI-powered apps quickly. The platform also offers customization options, data upload capabilities, and the ability to schedule app runs. Clevis offers a free trial period and flexible pricing plans to cater to different user needs.

UbiOps is an AI infrastructure platform that helps teams quickly run their AI & ML workloads as reliable and secure microservices. It offers powerful AI model serving and orchestration with unmatched simplicity, speed, and scale. UbiOps allows users to deploy models and functions in minutes, manage AI workloads from a single control plane, integrate easily with tools like PyTorch and TensorFlow, and ensure security and compliance by design. The platform supports hybrid and multi-cloud workload orchestration, rapid adaptive scaling, and modular applications with unique workflow management system.

Langtail is a platform that helps developers build, test, and deploy AI-powered applications. It provides a suite of tools to help developers debug prompts, run tests, and monitor the performance of their AI models. Langtail also offers a community forum where developers can share tips and tricks, and get help from other users.

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.

AI DIAL is an open-source project that provides a platform for developing and deploying conversational AI applications. It includes components such as DIAL Core for API exposure, DIAL SDK for development, and DIAL Chat for default UI. The project offers tutorials for launching AI DIAL Chat with different models and applications, along with a user manual and configuration guide. Additionally, there are various open-source repositories related to DIAL, including DIAL Helm for helm chart, DIAL Assistant for model agnostic assistant implementation, and DIAL Analytics Realtime for usage analytics. The project aims to simplify the development and deployment of AI-powered chat applications.

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.

Superplatform is a microservices platform focused on distributed AI management and development. It enables users to self-host AI models, build backendless AI apps, develop microservices-based AI applications, and deploy third-party AI apps easily. The platform supports running open-source AI models privately, building apps leveraging AI models, and utilizing a microservices-based communal backend for diverse projects.

OpenOrch is a daemon that transforms servers into a powerful development environment, running AI models, containers, and microservices. It serves as a blend of Kubernetes and a language-agnostic backend framework for building applications on fixed-resource setups. Users can deploy AI models and build microservices, managing applications while retaining control over infrastructure and data.

SkyPilot is a framework for running LLMs, AI, and batch jobs on any cloud, offering maximum cost savings, highest GPU availability, and managed execution. SkyPilot abstracts away cloud infra burdens: - Launch jobs & clusters on any cloud - Easy scale-out: queue and run many jobs, automatically managed - Easy access to object stores (S3, GCS, R2) SkyPilot maximizes GPU availability for your jobs: * Provision in all zones/regions/clouds you have access to (the _Sky_), with automatic failover SkyPilot cuts your cloud costs: * Managed Spot: 3-6x cost savings using spot VMs, with auto-recovery from preemptions * Optimizer: 2x cost savings by auto-picking the cheapest VM/zone/region/cloud * Autostop: hands-free cleanup of idle clusters SkyPilot supports your existing GPU, TPU, and CPU workloads, with no code changes.

Floneum is a graph editor that makes it easy to develop your own AI workflows. It uses large language models (LLMs) to run AI models locally, without any external dependencies or even a GPU. This makes it easy to use LLMs with your own data, without worrying about privacy. Floneum also has a plugin system that allows you to improve the performance of LLMs and make them work better for your specific use case. Plugins can be used in any language that supports web assembly, and they can control the output of LLMs with a process similar to JSONformer or guidance.

AIStore is a lightweight object storage system designed for AI applications. It is highly scalable, reliable, and easy to use. AIStore can be deployed on any commodity hardware, and it can be used to store and manage large datasets for deep learning and other AI applications.

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

Senparc.AI is an AI extension package for the Senparc ecosystem, focusing on LLM (Large Language Models) interaction. It provides modules for standard interfaces and basic functionalities, as well as interfaces using SemanticKernel for plug-and-play capabilities. The package also includes a library for supporting the 'PromptRange' ecosystem, compatible with various systems and frameworks. Users can configure different AI platforms and models, define AI interface parameters, and run AI functions easily. The package offers examples and commands for dialogue, embedding, and DallE drawing operations.

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.

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LangChain is an amazing framework to get LLM projects done in a matter of no time, and the ecosystem is growing fast. Here is an attempt to keep track of the initiatives around LangChain. Subscribe to the newsletter to stay informed about the Awesome LangChain. We send a couple of emails per month about the articles, videos, projects, and tools that grabbed our attention Contributions welcome. Add links through pull requests or create an issue to start a discussion. Please read the contribution guidelines before contributing.

A comprehensive repository of resources for Chinese large language models (LLMs), including data processing tools, fine-tuning frameworks, inference libraries, evaluation platforms, RAG engines, agent frameworks, books, courses, tutorials, and tips. The repository covers a wide range of tools and resources for working with LLMs, from data labeling and processing to model fine-tuning, inference, evaluation, and application development. It also includes resources for learning about LLMs through books, courses, and tutorials, as well as insights and strategies from building with LLMs.

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Download and Run Open Source LLMs Locally.

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