Best AI tools for< Build Ai Service >

This is a unified DevOps platform to build AI applications. It provides a comprehensive set of tools and services to help developers build, deploy, and manage AI applications. The platform includes a variety of features such as a code editor, a debugger, a profiler, and a deployment manager. It also provides access to a variety of AI services, such as natural language processing, machine learning, and computer vision.

Fetch AI is an open platform that allows users to build, deploy, and monetize AI applications and services. It provides a new AI economy by connecting multiple integrations to create new services and offers a range of features to transform legacy systems to be AI ready without changing existing APIs. The platform enables users to make their services discoverable on the Fetch.ai Platform with the first open network for AI Agents.

Together AI is an AI tool that offers a variety of generative AI services, including serverless models, fine-tuning capabilities, dedicated endpoints, and GPU clusters. Users can run or fine-tune leading open source models with only a few lines of code. The platform provides a range of functionalities for tasks such as chat, vision, text-to-speech, code/language reranking, and more. Together AI aims to simplify the process of utilizing AI models for various applications.

Microsoft Azure is a cloud computing service that offers a wide range of products and solutions for businesses and developers. It provides services such as virtual machines, AI services, Kubernetes service, DevOps, SQL databases, and more. Azure aims to empower users to build, deploy, and manage applications and services on a global scale, with a focus on innovation, security, and scalability.

OpenChat is a website that provides users with 10,000 ways to make money using ChatGPT and AI. The website offers a variety of resources, including personalized AI income ideas, a personal AI business coach, and standard email support. OpenChat also has a library of up to 10,000 AI income ideas that users can access. The website's slogan is "10,000 Ways to Make Money with ChatGPT and AI". Some of the features of OpenChat include the ability to save ideas for later use, access to a full library of up to 10,000 ideas, a personal AI business coach, and standard email support. Some of the advantages of using OpenChat include the ability to get personalized AI income ideas, access to a large library of AI income ideas, and the ability to get support from a personal AI business coach. Some of the disadvantages of using OpenChat include the fact that it is a paid service, and that the number of tokens that users can use each month is limited. Some of the frequently asked questions about OpenChat include how to use the website, how to get personalized AI income ideas, and how to get support from a personal AI business coach. The name of the application is OpenChat. Some of the jobs that are suitable for this tool include freelance AI business ideas, content creation AI income ideas, virtual assistance AI income ideas, mobile apps AI income ideas, web apps AI income ideas, finance AI income ideas, online survey AI income ideas, online course AI income ideas, social media AI income ideas, digital marketing AI income ideas, data entry AI income ideas, legal service AI income ideas, stock photography AI income ideas. Some of the AI keywords that are related to the application include AI business ideas, content creation, virtual assistance, mobile apps, web apps, finance, online surveys, online courses, social media, digital marketing, data entry, legal services, stock photography. Some of the tasks that users can use this tool to do include generating AI-driven content, creating AI-powered virtual assistants, developing AI-enhanced mobile apps, building AI-driven websites, offering AI-based financial advice, conducting AI-powered market research, creating AI-generated art, and providing AI-enabled customer support.

ThirdEye Data is a data and AI services & solutions provider that enables enterprises to improve operational efficiencies, increase production accuracies, and make informed business decisions by leveraging the latest Data & AI technologies. They offer services in data engineering, data science, generative AI, computer vision, NLP, and more. ThirdEye Data develops bespoke AI applications using the latest data science technologies to address real-world industry challenges and assists enterprises in leveraging generative AI models to develop custom applications. They also provide AI consulting services to explore potential opportunities for AI implementation. The company has a strong focus on customer success and has received positive reviews and awards for their expertise in AI, ML, and big data solutions.

Wand is an AI-powered tool that helps you find and fix errors in your code. It uses machine learning to identify potential problems and provides suggestions for how to resolve them. Wand can be used with a variety of programming languages, including Python, Java, JavaScript, and C++.

DataRobot is a leading provider of AI cloud platforms. It offers a range of AI tools and services to help businesses build, deploy, and manage AI models. DataRobot's platform is designed to make AI accessible to businesses of all sizes, regardless of their level of AI expertise. DataRobot's platform includes a variety of features to help businesses build and deploy AI models, including: * A drag-and-drop interface that makes it easy to build AI models, even for users with no coding experience. * A library of pre-built AI models that can be used to solve common business problems. * A set of tools to help businesses monitor and manage their AI models. * A team of AI experts who can provide support and guidance to businesses using the platform.

Codimite is an AI-assisted offshore development company that provides a range of services to help businesses accelerate their software development, reduce costs, and drive innovation. Codimite's team of experienced engineers and project managers use AI-powered tools and technologies to deliver exceptional results for their clients. The company's services include AI-assisted software development, cloud modernization, and data and artificial intelligence solutions.

ResponseCX is an AI tool designed for Shopify brands to build autonomous AI Agents for customer support. It enables fast-growing ecommerce organizations to deploy custom AI agents in record time, providing a dedicated AI engineer to assist in the process. ResponseCX allows brands to consolidate all platforms into one place to create customized, on-brand AI Agents capable of fully autonomous ticket resolution. The tool offers features such as fast learning, fast deployment, 100% uptime, and unlimited ticket volume, leading to significant cost reductions and improved customer satisfaction.

Biz4Group is a leading software engineering company specializing in AI, IoT, and eCommerce development. With over 20 years of experience and a team of 200+ experts, they have delivered 700+ successful projects for clients worldwide. Their services include AI product development, AI chatbot development, IoT product development, wearable app development, software engineering, mobile application development, full stack development, eCommerce development, web development, CMS solutions, and digital marketing. Biz4Group is committed to helping businesses leverage cutting-edge technologies to improve operations, make data-driven decisions, and unlock new growth opportunities.

NVIDIA is a world leader in artificial intelligence computing. The company's products and services are used by businesses and governments around the world to develop and deploy AI applications. NVIDIA's AI platform includes hardware, software, and tools that make it easy to build and train AI models. The company also offers a range of cloud-based AI services that make it easy to deploy and manage AI applications. NVIDIA's AI platform is used in a wide variety of industries, including healthcare, manufacturing, retail, and transportation. The company's AI technology is helping to improve the efficiency and accuracy of a wide range of tasks, from medical diagnosis to product design.

3pi.ai is a conversational AI platform that helps businesses build and deploy AI-powered chatbots and virtual assistants. It provides a range of features to help businesses create engaging and informative chatbots, including natural language processing, machine learning, and a drag-and-drop interface. 3pi.ai's chatbots can be used to automate customer service, sales, and marketing tasks, and can be deployed on a variety of platforms, including websites, messaging apps, and social media.

TarsyAI is an AI tool that allows users to build AI assistants without the need for coding. Users can create customized AI assistants to manage customer support, lead generation, sales, and more. The platform offers features such as training with own data, customizing chat widgets, deploying AI assistants, monitoring and improving performance. TarsyAI supports multiple languages, provides advanced AI instructions, lead generation capabilities, and detailed analytics to enhance user interactions. The tool offers various pricing options to cater to different user needs, with a free trial available for all plans.

Toolmark.ai is a no-code AI tool builder that allows users to create AI tools without any coding knowledge. With Toolmark.ai, users can build AI tools that generate text, images, voice, and more using GPT, Dall-E, Google Gemini, and other AI models. Toolmark.ai also offers a marketplace where creators can design and sell their AI tools.

Cubeo AI is a no-code AI Assistant builder that allows users to create their own AI Team with diverse capabilities. Users can build AI Agents for various tasks like research, content creation, talent acquisition, and more. The platform offers pre-built AI Agents and the ability to customize AI Assistants using different formats like PDFs, Docx, MP3s, and videos. Cubeo AI aims to streamline business operations, boost productivity, and enhance customer engagement through automated solutions.

Macgence is an AI training data services platform that offers high-quality off-the-shelf structured training data for organizations to build effective AI systems at scale. They provide services such as custom data sourcing, data annotation, data validation, content moderation, and localization. Macgence combines global linguistic, cultural, and technological expertise to create high-quality datasets for AI models, enabling faster time-to-market across the entire model value chain. With more than 5 years of experience, they support and scale AI initiatives of leading global innovators by designing custom data collection programs. Macgence specializes in handling AI training data for text, speech, image, and video data, offering cognitive annotation services to unlock the potential of unstructured textual data.

Google Cloud is a suite of cloud computing services that runs on the same infrastructure as Google. Its services include computing, storage, networking, databases, machine learning, and more. Google Cloud is designed to make it easy for businesses to develop and deploy applications in the cloud. It offers a variety of tools and services to help businesses with everything from building and deploying applications to managing their infrastructure. Google Cloud is also committed to sustainability, and it has a number of programs in place to reduce its environmental impact.

Runday is a business-to-business software as a service (SaaS) company that provides artificial intelligence (AI)-powered agents to help businesses with sales, service, marketing, and recruiting. Runday's AI agents can be used to answer customer questions, book appointments, collect payments, and more. The company's software is used by over 30,000 businesses and has generated over $1 billion in sales for its customers.

CodeAutomation is a leading software development company in the USA, specializing in custom software solutions, QA testing, AI services, and business automation. They offer end-to-end software development services, including CMS development, mobile app development, and enterprise software development. With a team of over 70 dedicated software engineers, they provide innovative solutions tailored to specific business needs and markets. CodeAutomation is committed to excellence, innovation, and empowering businesses with cutting-edge technology and reliable support.

Build-your-own-AI-Assistant-Solution-Accelerator is a pre-release and preview solution that helps users create their own AI assistants. It leverages Azure Open AI Service, Azure AI Search, and Microsoft Fabric to identify, summarize, and categorize unstructured information. Users can easily find relevant articles and grants, generate grant applications, and export them as PDF or Word documents. The solution accelerator provides reusable architecture and code snippets for building AI assistants with enterprise data. It is designed for researchers looking to explore flu vaccine studies and grants to accelerate grant proposal submissions.

This repository is part of Intelligent Document Processing with AWS AI Services workshop. It aims to automate the extraction of information from complex content in various document formats such as insurance claims, mortgages, healthcare claims, contracts, and legal contracts using AWS Machine Learning services like Amazon Textract and Amazon Comprehend. The repository provides hands-on labs to familiarize users with these AI services and build solutions to automate business processes that rely on manual inputs and intervention across different file types and formats.

A Pythonic framework to simplify AI service building. The LeptonAI Python library allows you to build an AI service from Python code with ease. Key features include a Pythonic abstraction Photon, simple abstractions to launch models like those on HuggingFace, prebuilt examples for common models, AI tailored batteries, a client to automatically call your service like native Python functions, and Pythonic configuration specs to be readily shipped in a cloud environment.

Jina is a tool that allows users to build multimodal AI services and pipelines using cloud-native technologies. It provides a Pythonic experience for serving ML models and transitioning from local deployment to advanced orchestration frameworks like Docker-Compose, Kubernetes, or Jina AI Cloud. Users can build and serve models for any data type and deep learning framework, design high-performance services with easy scaling, serve LLM models while streaming their output, integrate with Docker containers via Executor Hub, and host on CPU/GPU using Jina AI Cloud. Jina also offers advanced orchestration and scaling capabilities, a smooth transition to the cloud, and easy scalability and concurrency features for applications. Users can deploy to their own cloud or system with Kubernetes and Docker Compose integration, and even deploy to JCloud for autoscaling and monitoring.

Jina-Serve is a framework for building and deploying AI services that communicate via gRPC, HTTP and WebSockets. It provides native support for major ML frameworks and data types, high-performance service design with scaling and dynamic batching, LLM serving with streaming output, built-in Docker integration and Executor Hub, one-click deployment to Jina AI Cloud, and enterprise-ready features with Kubernetes and Docker Compose support. Users can create gRPC-based AI services, build pipelines, scale services locally with replicas, shards, and dynamic batching, deploy to the cloud using Kubernetes, Docker Compose, or JCloud, and enable token-by-token streaming for responsive LLM applications.

Dify is an open-source LLM app development platform that combines AI workflow, RAG pipeline, agent capabilities, model management, observability features, and more. It allows users to quickly go from prototype to production. Key features include: 1. Workflow: Build and test powerful AI workflows on a visual canvas. 2. Comprehensive model support: Seamless integration with hundreds of proprietary / open-source LLMs from dozens of inference providers and self-hosted solutions. 3. Prompt IDE: Intuitive interface for crafting prompts, comparing model performance, and adding additional features. 4. RAG Pipeline: Extensive RAG capabilities that cover everything from document ingestion to retrieval. 5. Agent capabilities: Define agents based on LLM Function Calling or ReAct, and add pre-built or custom tools. 6. LLMOps: Monitor and analyze application logs and performance over time. 7. Backend-as-a-Service: All of Dify's offerings come with corresponding APIs for easy integration into your own business logic.

Olares is an open-source sovereign cloud OS designed for local AI, enabling users to build their own AI assistants, sync data across devices, self-host their workspace, stream media, and more within a sovereign cloud environment. Users can effortlessly run leading AI models, deploy open-source AI apps, access AI apps and models anywhere, and benefit from integrated AI for personalized interactions. Olares offers features like edge AI, personal data repository, self-hosted workspace, private media server, smart home hub, and user-owned decentralized social media. The platform provides enterprise-grade security, secure application ecosystem, unified file system and database, single sign-on, AI capabilities, built-in applications, seamless access, and development tools. Olares is compatible with Linux, Raspberry Pi, Mac, and Windows, and offers a wide range of system-level applications, third-party components and services, and additional libraries and components.

The Enterprise Azure OpenAI Hub is a comprehensive repository designed to guide users through the world of Generative AI on the Azure platform. It offers a structured learning experience to accelerate the transition from concept to production in an Enterprise context. The hub empowers users to explore various use cases with Azure services, ensuring security and compliance. It provides real-world examples and playbooks for practical insights into solving complex problems and developing cutting-edge AI solutions. The repository also serves as a library of proven patterns, aligning with industry standards and promoting best practices for secure and compliant AI development.

The Google AI SDK for Swift enables developers to use Google's state-of-the-art generative AI models (like Gemini) to build AI-powered features and applications. This SDK supports use cases like: - Generate text from text-only input - Generate text from text-and-images input (multimodal) - Build multi-turn conversations (chat)

The .NET Conf Focus on AI 2024 repository contains content from the event focusing on incorporating AI into .NET applications and services. It includes slides and demos showcasing various AI-powered web apps, AI models, generative AI apps, and more. The repository serves as a resource for developers looking to explore AI integration with .NET technologies.

AIScript is a unique programming language and web framework written in Rust, designed to help developers effortlessly build AI applications. It combines the strengths of Python, JavaScript, and Rust to create an intuitive, powerful, and easy-to-use tool. The language features first-class functions, built-in AI primitives, dynamic typing with static type checking, data validation, error handling inspired by Rust, a rich standard library, and automatic garbage collection. The web framework offers an elegant route DSL, automatic parameter validation, OpenAPI schema generation, database modules, authentication capabilities, and more. AIScript excels in AI-powered APIs, prototyping, microservices, data validation, and building internal tools.

eShopSupport is a sample .NET application showcasing common use cases and development practices for building AI solutions in .NET, specifically Generative AI. It demonstrates a customer support application for an e-commerce website using a services-based architecture with .NET Aspire. The application includes support for text classification, sentiment analysis, text summarization, synthetic data generation, and chat bot interactions. It also showcases development practices such as developing solutions locally, evaluating AI responses, leveraging Python projects, and deploying applications to the Cloud.

AITreasureBox is a comprehensive collection of AI tools and resources designed to simplify and accelerate the development of AI projects. It provides a wide range of pre-trained models, datasets, and utilities that can be easily integrated into various AI applications. With AITreasureBox, developers can quickly prototype, test, and deploy AI solutions without having to build everything from scratch. Whether you are working on computer vision, natural language processing, or reinforcement learning projects, AITreasureBox has something to offer for everyone. The repository is regularly updated with new tools and resources to keep up with the latest advancements in the field of artificial intelligence.

COMFYUI LLM PARTY is a node library designed for LLM workflow development in ComfyUI, an extremely minimalist UI interface primarily used for AI drawing and SD model-based workflows. The project aims to provide a complete set of nodes for constructing LLM workflows, enabling users to easily integrate them into existing SD workflows. It features various functionalities such as API integration, local large model integration, RAG support, code interpreters, online queries, conditional statements, looping links for large models, persona mask attachment, and tool invocations for weather lookup, time lookup, knowledge base, code execution, web search, and single-page search. Users can rapidly develop web applications using API + Streamlit and utilize LLM as a tool node. Additionally, the project includes an omnipotent interpreter node that allows the large model to perform any task, with recommendations to use the 'show_text' node for display output.

AI-in-a-Box is a curated collection of solution accelerators that can help engineers establish their AI/ML environments and solutions rapidly and with minimal friction, while maintaining the highest standards of quality and efficiency. It provides essential guidance on the responsible use of AI and LLM technologies, specific security guidance for Generative AI (GenAI) applications, and best practices for scaling OpenAI applications within Azure. The available accelerators include: Azure ML Operationalization in-a-box, Edge AI in-a-box, Doc Intelligence in-a-box, Image and Video Analysis in-a-box, Cognitive Services Landing Zone in-a-box, Semantic Kernel Bot in-a-box, NLP to SQL in-a-box, Assistants API in-a-box, and Assistants API Bot in-a-box.

The 'mslearn-ai-vision' repository contains lab files for Azure AI Vision modules. It provides hands-on exercises and resources for learning about AI vision capabilities on the Azure platform. The labs cover topics such as image recognition, object detection, and image classification using Azure's AI services. By following the lab exercises, users can gain practical experience in building and deploying AI vision solutions in the cloud.

Awesome-LLM-RAG-Application is a repository that provides resources and information about applications based on Large Language Models (LLM) with Retrieval-Augmented Generation (RAG) pattern. It includes a survey paper, GitHub repo, and guides on advanced RAG techniques. The repository covers various aspects of RAG, including academic papers, evaluation benchmarks, downstream tasks, tools, and technologies. It also explores different frameworks, preprocessing tools, routing mechanisms, evaluation frameworks, embeddings, security guardrails, prompting tools, SQL enhancements, LLM deployment, observability tools, and more. The repository aims to offer comprehensive knowledge on RAG for readers interested in exploring and implementing LLM-based systems and products.

Gemini AI is a Ruby Gem designed to provide low-level access to Google's generative AI services through Vertex AI, Generative Language API, or AI Studio. It allows users to interact with Gemini to build abstractions on top of it. The Gem provides functionalities for tasks such as generating content, embeddings, predictions, and more. It supports streaming capabilities, server-sent events, safety settings, system instructions, JSON format responses, and tools (functions) calling. The Gem also includes error handling, development setup, publishing to RubyGems, updating the README, and references to resources for further learning.

Expert in bot-building platforms and AI solutions for tailored industry proposals.

Expert on Voiceflow, the AI chat and automation platform

Interprets body language in diverse daily situations with contextual insights.

30+ years of proven negotiation and mediation approaches and solutions! (DO NOT SHARE PRIVATE INFORMATION)

I assist in crafting specialized GPT bots.

Mimics social media users; precise, adaptable.

Maintains and expands client portfolio through strategic upselling, relationship-building, and negotiation.

I assist with active listening practice.

話相手の属性から会話の内容を考えます。例えば「大阪府出身48歳の男性エンジニア」のように入れてください。

A corporate bot that turns negatives into positives, never apologizes.

Expert in Bubble no-code, motivating and guiding new learners.

Build Autonomous AI Agents

Help Beginners Get Started With AI

一名使用python语言的，专业的AI工程师

An AI-powered tool that makes learning about AI accessible to everyone.

Expert AI Architect for Advancing Complexities in AI Understanding

The use case designer is configured with the latest Data Science and Behavioral Social Science insights to guide you through the process of defining AI and Machine Learning use cases for the ecosystem.Ai platform.

Expert on MathLive & CortexJS, guides to API & cortexjs.io

A detailed AI course builder, providing in-depth AI educational content.

I assist with Langflow CustomComponents.