Alternatives to The Forge

Open source platform for machine learning. TensorFlow is a machine learning platform that is open-source and available to all. It offers a flexible, comprehensive ecosystem of tools, libraries, and community resources that allows researchers to push the boundaries of machine learning. Developers can easily create and deploy ML-powered applications using its tools. Easy ML model training and development using high-level APIs such as Keras. This allows for quick model iteration and debugging. No matter what language you choose, you can easily train and deploy models in cloud, browser, on-prem, or on-device. It is a simple and flexible architecture that allows you to quickly take new ideas from concept to code to state-of the-art models and publication. TensorFlow makes it easy to build, deploy, and test.

The AI Knowledge Platform. The Pinecone Database, Inference, and Assistant make building high-performance vector search apps easy. Fully managed and developer-friendly, the database is easily scalable without any infrastructure problems. Once you have vector embeddings created, you can search and manage them in Pinecone to power semantic searches, recommenders, or other applications that rely upon relevant information retrieval. Even with billions of items, ultra-low query latency Provide a great user experience. You can add, edit, and delete data via live index updates. Your data is available immediately. For more relevant and quicker results, combine vector search with metadata filters. Our API makes it easy to launch, use, scale, and scale your vector searching service without worrying about infrastructure. It will run smoothly and securely.

We are developing autonomous systems that can write and deploy custom software to complete complex tasks. This is done using only English instruction. Maya can translate steps from English into visual programs you can edit and extend without having to write code. To create a visual program, describe the business logic of your application in English. In seconds, dependencies are automatically detected, installed, then deployed. Drag-and-drop editor allows you to extend functionality to hundreds of nodes. To automate your work, quickly create useful tools. Simply describe how multiple data sources work together to connect them. Pipe data into tables, charts, or graphs using natural language descriptions. To assist a human entering and changing data, you can create, edit, or deploy dynamic forms. Copy and paste your natural-language program into a note-taking application or share it with friends. English-language apps can be written, modified, debugged, deployed, and used. Describe the steps that you want Maya code to take.

Describe examples of API requests and responses. Define API logic in natural language. Test your API endpoints, and fine-tune prompt, response structure, or request structure. Integrate API endpoints into your applications with just a click. In less than one minute, you can build and deploy sophisticated application logic with no code. No need for individual LLM accounts. Sign up for Backengine and get started building. Our super-fast backend architecture is available immediately. All endpoints have been secured and protected, so that only you and your application can use them. Manage your team members easily so that everyone can work on Backengine endpoints. Add persistent data to your Backengine endpoints. A complete replacement for the backend. Use external APIs to integrate your endpoints.

GradientJ gives you everything you need to create large language models in minutes, and manage them for life. Save versions of prompts and compare them with benchmark examples to discover and maintain the best prompts. Chaining prompts and knowledge databases into complex APIs allows you to orchestrate and manage complex apps. Integrating your proprietary data with your models will improve their accuracy.

Braintrust is an enterprise-grade stack to build AI products. We take the uncertainty and tedium of integrating AI into your business out. From evaluations to prompt playgrounds to data management. Compare benchmarks, input/output pairs, and multiple prompts between runs. You can experiment with your draft or tinker it ephemerally. Braintrust can be integrated into your continuous integration workflow to track progress on the main branch and compare new experiments with what's already live before you ship. Easy capture and evaluate rated examples in staging & production. Then, incorporate them into "golden datasets". Datasets are stored in your cloud, and they are automatically versioned. This allows you to evolve them without risking affecting evaluations that rely on them.

Retool is a platform that enables developers to combine the benefits of traditional software development with a drag-and-drop editor and AI to build internal tools faster. Every tool can be deployed anywhere, debugged with your toolchain, and shared reliably at any scale—ensuring good software by default. Retool is used by industry leaders such as Amazon, American Express, and OpenAI for mission critical custom software across operations, billing, and customer support.

Create & Share Delightful Apps for Machine Learning. Gradio allows you to quickly and easily demo your machine-learning model. It has a friendly interface that anyone can use, anywhere. Installing Gradio is easy with pip. It only takes a few lines of code to create a Gradio Interface. You can choose between a variety interface types to interface with your function. Gradio is available as a webpage or embedded into Python notebooks. Gradio can generate a link that you can share publicly with colleagues to allow them to interact with your model remotely using their own devices. Once you have created an interface, it can be permanently hosted on Hugging Face. Hugging Face Spaces hosts the interface on their servers and provides you with a shareable link.

Create generative AI apps for engineers and not just ML practitioners. Focus on creating instead of configuring. No more switching platforms or wrestling with APIs. Use a familiar interface for AI and to prompt engineers. Workbooks can be easily streamlined into templates by using parameters. Create workflows using model outputs from LLMs and image and audio models. Create groups to manage workbooks between your teammates. Share your workbook with your team or the public, or to specific organizations that you define. Workbooks can be commented on and compared with your team. Create templates for you, your team or the developer community. Get started quickly by using templates to see what others are building.

You can use advanced language models and coding to solve a variety of problems. To build cutting-edge applications, leverage large-scale, generative AI models that have deep understandings of code and language to allow for new reasoning and comprehension. These coding and language models can be applied to a variety use cases, including writing assistance, code generation, reasoning over data, and code generation. Access enterprise-grade Azure security and detect and mitigate harmful use. Access generative models that have been pretrained with trillions upon trillions of words. You can use them to create new scenarios, including code, reasoning, inferencing and comprehension. A simple REST API allows you to customize generative models with labeled information for your particular scenario. To improve the accuracy of your outputs, fine-tune the hyperparameters of your model. You can use the API's few-shot learning capability for more relevant results and to provide examples.

With our intuitive interface, you can create an AI-powered application in minutes. Connect GPT-3 with the internet using a Web Search Block, pull data in with an HTTP Request Block, or chain multiple Large Language Model blocks. Launch your app with a UI or bring the power to language into your community by deploying your app as a discord bot.

Our auto-scaling AIs allow you to access powerful generative AIs models without any management. API calls are now available for generative AI models such as stable diffusion, dreambooth and pix2pix. Our scalable Rest APIs allow you to build applications on top of generative AI models. They integrate seamlessly and cost a fraction of what other alternatives do. Integrations that are seamless with your existing systems without extensive development. Our APIs are easy to integrate into your workflow, with support for stacks such as CURL, Python Node.js, and PHP. We harness the computing power of millions decentralised crypto mining machines around the world, optimize them for machine-learning and package them with popular AI models such as Stable Diffusion. We can deliver Generative AI through APIs that are easily integrated and scalable by leveraging these decentralized resources.

Appaca, a platform with no code, allows users to quickly and efficiently build and deploy AI applications. Appaca offers a wide range of features including a customizable editor for the interface, an AI studio to create models, and a database built-in for data management. The platform integrates with leading AI models, such as OpenAI’s GPT, Google’s Gemini and Anthropic’s Claude. It also supports OpenAI’s DALL*E 3 and other OpenAI models. Appaca offers user management and monetization features, including Stripe integrations for subscription services and AI credits billing. Appaca is a great tool for businesses, influencers and startups who want to create white-label solutions, web apps, internal tools, bots and more without coding knowledge.

Connect AI models to create AI apps in minutes with no code. Your efforts will create the next generation of AI-powered applications. In minutes, you can create AI-powered apps. It's easier than ever to create AI-powered applications. Make money and share your creations around the world. Profit from your unique creations' earning potential. Brancher.ai has over 100 templates that can help you increase your creativity and productivity, from a spark of inspiration to an instant start to a new app.

Amazon Augmented AI (Amazon A2I), makes it easy to create the workflows needed for human review of ML prediction. Amazon A2I provides human review for all developers. This removes the undifferentiated work involved in building systems that require human review or managing large numbers. Machine learning applications often require humans to review low confidence predictions in order to verify that the results are accurate. In some cases, such as extracting information from scanned mortgage applications forms, human review may be required due to poor scan quality or handwriting. However, building human review systems can be costly and time-consuming because it involves complex processes or "workflows", creating custom software to manage review tasks, results, and managing large numbers of reviewers.

FastGPT is an open-source AI knowledge base platform which offers out-of the-box data processing and model invocation. It also provides retrieval-augmented retrieval and visual AI workflows. This allows users to build large language models applications with ease. It allows users to create domain-specific AI assistants using imported documents or Q&A pair, which support various formats including Word, PDF and Excel. The platform automates preprocessing tasks such as text preprocessing and vectorization. It also enhances efficiency. FastGPT facilitates AI workflow orchestration via a visual drag and drop interface. This allows for the design of complex workflows integrating tasks such as database queries and inventory check. It offers seamless API integration for existing GPT platforms and applications like Discord, Slack and Telegram, using OpenAI-aligned interfaces.

The first platform to create robots powered by AI, Web3, and Web3. Shell is our innovative chatbot platform where you can create customized chatbots. Immerse yourself into our interactive workshop and combine versatile components to create useful and entertaining bots that you can share with your friends and community. MyShell is a Web3+AI creation platform and consumption platform that is open. Users can create robots and share the options with other users. MyShell began with voice chat bots. We developed independently powerful automatic speech recognition and text-tospeech capabilities. MyShell allows users and robots to have one-to-one voice chats, allowing a closer interaction than text-based conversations. Each robot has its own personality and a charming voice. You can use them to practice spoken language or have casual conversations.

Clevis allows users to create AI applications without writing code. Users can easily create, execute and market apps that include text generation, image creation, and web scraping, using a variety of pre-built processing step. Learn how to create an app that can generate recipes based on dietary preferences, or one that can create character biographies and pictures using only a name and year. Create your app by combining text generation, image creation, and API requests. Start your journey quickly with one of our templates. Share a link that is publicly accessible to allow anyone to run your app. Clevis provides a set of features to simplify the creation of your AI application. You can monetize by selling access to your app with usage-based pricing. Start your app with a simple HTTP call using your API key.

Prompt Flow, a set of development tools, is designed to streamline end-to-end AI development cycles based on LLM, from ideation and prototyping to testing and evaluation, to production deployment and monitoring. It simplifies prompt engineering and allows you to create LLM apps of production quality. Prompt flow allows you to create flows that connect LLMs, Python code and other tools in an executable workflow. It is easy to debug and iterate flows, tracing interactions between LLMs in particular. You can evaluate flows, calculate performance and quality metrics with larger datasets and integrate the testing into your CI/CD to ensure quality. It is easy to deploy flows on the platform of your choosing or integrate them into your app code base. The cloud version of Azure AI's Prompt flow facilitates collaboration with your team.

ShipGPT is an AI repository that contains a ready-made boilerplate for a variety of AI use cases. It allows you to create your own AI applications or integrate AI into existing tech, without the need to hire full stack developers or AI dev wrappers. ShipGPT allows you to transform your apps into AI apps and create products such as ChatBase, ChatPDF or Jenni AI. The service includes live support as well as continuous updates. The service is designed for developers to create AI apps quickly. It is regularly updated. It does not rely on licensed or third-party libraries or APIs. Instead, it relies on open-source libraries that are easy to maintain.

Lazy AI is an innovative platform that allows users to create applications without coding. It requires a low level of skill and offers a library of pre-configured workflows. It allows users to jumpstart the application development journey by adding functionality using natural language, instead of writing code. Lazy AI not only works with frontend apps, but also backend apps. It deploys them automatically. Lazy AI makes the creation of applications easier than ever. Our customizable app templates allow you to easily create AI tools, Bots and Dev Tools for Finance, Marketing, Finance, and Marketing. Users can also browse by technology, such as Laravel, Twilio (Twitter), YouTube Selenium Webflow Stripe etc.

Create AI apps that can be shared using a simple editor similar to Notion. No need to hire expensive developers or write code. We take care of the hosting, database and deployment. Typeblock empowers you to create AI tools in less than 2 minutes, whether you're a marketing team, an agency, or an entrepreneur. Create SEO-optimized blogs and publish them instantly to your CMS. Create a tool that will generate highly personalized cold email for your sales team. Create a tool that will help you write Facebook ads, LinkedIn posts or Twitter threads. Create an app to write landing page copy for the marketing team. Build tools that create highly engaging newsletters using AI.

A managed PaaS that includes a low-code visual editor, VectorDB and integrations with apps and models to build, test, and deploy high-performance AI applications on the edge. Eliminate costly and error-prone work. Drag and drop agents, apps, data and models to find the best solution. Deployment in less than 60 seconds, and a 50% reduction in latency. Observe, iterate, and test seamlessly. Visibility and tools are essential for accuracy and reliability. Use data-driven decision making with reports on usage, LLM and request. View real-time traces per node. Experiments allow you to optimize embeddings and prompts, models and more. All you need to launch and iterate at large scale. Community of smart-minded builders who share their insights, experiences & feedback. Distilling the most useful tips, tricks and techniques for AI application developers. A platform that allows you to build agentic systems as if you were a 100-person team. A simple and intuitive frontend for managing AI applications and collaborating with them.

We offer a set of world-class tools and assets to convert ideas into production ready AI solutions. Build and deploy custom Generative AI end-to-end solutions on our unified Platform, and avoid the hassle of tool fragmentation or platform switching. Launch your next AI-based solution using a single API endpoint. It has never been easier to create, maintain, and improve AI systems. Subscribe to models and datasets on aiXplain’s marketplace. Subscribe to models and data sets to use with aiXplain's no-code/low code tools or the SDK.

Create, design, prototype and deploy custom AI workflows. Enhance customer engagement and team/personal productivity. Create and embed your website in just minutes. Connect your chatbot to your knowledge base. Instantly summarize and answer questions about audio, video, and website files. Create marketing copy, personalized emails, call summaries and graphics at large scale. Save time with a library of prebuilt pipelines, such as those for chatbots or document search. Share your pipelines to help the marketplace grow. Your data will not be stored on model providers' servers due to our zero-day retention policy and secure infrastructure. Our partnership begins with a free diagnostic, where we assess if your organization is AI-ready. We then create a roadmap to create a turnkey solution that fits into your processes.

Hubble is an easy-to-use platform that allows you to create AI-enabled apps without the need for any programming. Hubble allows you to create intuitive web-apps powered with cutting-edge AI models like GPT-3. Our drag-and-drop editor makes it easy to create interactive web apps. You can use the most advanced AI models for your app without worrying too much about API keys and integrations. Hubble manages all your app deployments and hosting. To maximize the power and potential of AI, connect your data sources (via embeddings). See the Hubble projects of our community members.

Unexpected outcomes happen all the time. You can pinpoint the source of errors or surprises in real-time with surgical precision when you have full visibility of the entire chain of calls. Unit testing is a key component of software engineering to create production-ready, performant applications. LangSmith offers the same functionality for LLM apps. LangSmith allows you to create test datasets, execute your applications on them, and view results without leaving the application. LangSmith allows mission-critical observability in just a few lines. LangSmith was designed to help developers harness LLMs' power and manage their complexity. We don't just build tools. We are establishing best practices that you can rely upon. Build and deploy LLM apps with confidence. Stats on application-level usage. Feedback collection. Filter traces and cost measurement. Dataset curation - compare chain performance - AI-assisted assessment & embrace best practices.

A simple web API allows you to fine-tune your LLMs and receive completions. No infrastructure is required. Instantly create private AI applications that comply with SOC2-standards. Our developer platform makes it easy to customize models for your specific use case. Select the base model and define the data that you want to teach. We will take care of everything else. With a single API, you can integrate private LLMs with your applications. No more deployment, orchestration or infrastructure headaches. The most powerful OSS available -- highly generalized capabilities with amazing storytelling and reasoning capabilities. Use a fully unlocked LLM for the best internal automation systems in your company.

Create and manage AI applications without the need to move data to complex vector databases and pipelines. Integrate AI, vector search and real-time inference directly with your database. Python is all you need. All your AI models can be deployed in a single, scalable deployment. The AI models and APIs are automatically updated as new data is processed. You don't need to duplicate your data or create an additional database to use vector searching and build on it. SuperDuperDB allows vector search within your existing database. Integrate and combine models such as those from Sklearn PyTorch HuggingFace, with AI APIs like OpenAI, to build even the most complicated AI applications and workflows. With simple Python commands, deploy all your AI models in one environment to automatically compute outputs in your datastore (inference).

Orkes is the leading orchestration platform designed for developers. It allows you to scale your distributed applications and modernize your workflows in order to ensure durability. You can also protect against software failures or downtime. Build distributed systems that span microservices, AI models and event-driven architectures, as well as serverless architectures. You can do this in any language or framework. Your innovation, code, and app - developed, designed, and delighted users a magnitude faster. Orkes Conductor allows you to build and modernize your applications faster. Model your business logic intuitively, as if you were using a whiteboard. Code the components in any language and framework that you choose. Run them at scale without additional setups. Observe across your distributed landscape.

FieldDay lets you explore the world of AI, Machine Learning and AI right on your smartphone. We've simplified the process of creating machine learning models by turning it into a hands-on, engaging experience that's as easy as using your camera. FieldDay lets you create custom AI apps, and embed them into your favorite tools using only your phone. You can use FieldDay examples as a learning tool and create a custom model that is ready to embed in your app/project. FieldDay machine-learning models are used in a variety of projects and applications. Our range of export and integration options makes it easy to embed a machine learning model into any platform. FieldDay allows you to collect data from your phone camera. Our interface is designed to allow for intuitive and easy annotation during collection. You can create a custom dataset quickly. FieldDay allows you to preview and correct models in real-time.

Laminar is a platform that allows you to create the best LLM products. The quality of your LLM application is determined by the data you collect. Laminar helps collect, understand, and use this data. You can collect valuable data and get a clear view of the execution of your LLM application by tracing it. You can use this data to create better evaluations, dynamic examples and fine-tune your application. All traces are sent via gRPC in the background with minimal overhead. Audio models will be supported soon. Tracing text and image models are supported. You can use LLM-as a judge or Python script evaluators on each span. Evaluators can label spans. This is more scalable than manual labeling and is especially useful for smaller teams. Laminar allows you to go beyond a simple prompt. You can create and host complex chains including mixtures of agents, or self-reflecting LLM pipes.

Create your own personalized AI apps without any code. Natural language is used to create next-generation software using LLMs. You can ask questions by pasting your website URL. We create a chatbot based on your website and serve it to you. You can now chat with your bot on any platform. ChatGPT can be built in minutes based on personal data. You can easily create your project with just one button click, and the setup process is as easy as filling out an online form. Supports connecting with external data sources. Enter a URL and you can import data to build AI applications. Rich interface supported. Soon, we will release no-code platforms, JS and APIs, as well as more. Artificial general intelligence platform. Create AI apps without code. Instant chatbot creation.

Frontly is an advanced SaaS/web app builder that does not require any coding. It offers powerful features and a rapid development process. Frontly is different from other app builders in that it allows users to create apps and components using AI, to build and maintain a library of reusable components and to duplicate entire apps and web pages. Users can also share and sell their designs on Frontly's marketplace for revenue. OpenAI allows you to automate repetitive tasks, edit and generate content using structured output. Transform your spreadsheets with charts, tables, forms and more into stunning visual interfaces. Access controls allow you to control which data users see down to the individual row level. Add your logo, brand colours, and custom domain to create a professional client-facing portal. Create apps in minutes that display data in a customized visual interface, filter the data based on permissions, generate with AI and revise your data, and connect your external systems via workflow automation integrations.

Choose the appropriate app type. Choose the output and input required for the app. Add data from existing sources such as files, URLs, sitemaps and YouTube links. You can also add data from Notion exports, Google Drive and other sources. Attach these data sources in the app builder. Save and publish your application. You can embed the code in your website or access it directly from the dedicated app page. Our APIs allow you to run the app directly from your application. Promptly offers embeddable widgets you can easily integrate in your website. These widgets can be used to create conversational AI applications, or to add a bot to your website. Customize the look and feel of the chatbot to match your website. Include a logo.

Exspanse simplifies the path between development and business value. Build, train and rapidly deploy powerful machine-learning models using a single interface that scales with your business. Exspanse Notebook allows you to train, tune and prototype models with the help from high-powered GPUs, processors & AI code assistant. Rapid deploy allows you to go beyond training and modeling by deploying models as APIs directly from an Exspanse Notebook. Clone and publish unique AI project to DeepSpace AI Marketplace to advance the AI Community. Power, efficiency and collaboration all in one platform. You can maximize your impact as a data scientist working alone. Our integrated platform allows you to manage and accelerate the AI development process. Turn your innovative ideas quickly and efficiently into working models. You can seamlessly transition from building AI solutions to deploying them, without needing extensive DevOps expertise.

Distributed training is possible without changing the model code. Determined takes care of provisioning, networking, data load, and fault tolerance. Our open-source deep-learning platform allows you to train your models in minutes and hours, not days or weeks. You can avoid tedious tasks such as manual hyperparameter tweaking, re-running failed jobs, or worrying about hardware resources. Our distributed training implementation is more efficient than the industry standard. It requires no code changes and is fully integrated into our state-ofthe-art platform. With its built-in experiment tracker and visualization, Determined records metrics and makes your ML project reproducible. It also allows your team to work together more easily. Instead of worrying about infrastructure and errors, your researchers can focus on their domain and build upon the progress made by their team.

Make AI an integral part of your business. With the flexibility and power of a cloud native platform, you can build better, deploy faster and audit easier. Import models and search cataloged model from across your organization. Save time by quickly annotating data with model-in the-loop hinting. Flyte's integration with Chariot allows you to quickly create and launch custom workflows. Understand the full origin of your data, models and workflows. Deploy models wherever you need them. This includes edge and IoT applications. Data scientists are not the only ones who can get valuable insights from their data. With Chariot's low code interface, teams can collaborate effectively.

Open Agent Studio is more than just another copilot. It's a co-pilot builder with no code that allows solutions that are not possible in any other RPA tool today. We believe that other tools will copy our idea, and so we are giving our customers a head start in the next few months. They can target markets previously untapped by AI using their deep industry insights. Subscribers can access a 4-week free course that teaches them how to evaluate product concepts and launch a customized agent with a white label enterprise-grade. You can easily build agents by recording your keyboard and mice actions, such as scraping data and detecting a start node. The agent recorder allows you to build generalized agents in as little time as possible. Record once and then share it across your organization for future-proof agents.

Train, fine-tune and generate text and image AI based on your data. We use the best open-source models for image and text generation, and can train them within minutes using LoRA fine tuning. Click the share button to generate a link or bot to your session. You can deploy your own private infrastructure. Create a free Stable Diffusion XL account to start chatting and generating images using open source language models. Drag'n'drop is the easiest way to fine-tune your model using your own text or images. It takes between 3-10 minutes. You can chat with the models and create images using a familiar chat interface.

LlamaIndex, a "dataframework", is designed to help you create LLM apps. Connect semi-structured API data like Slack or Salesforce. LlamaIndex provides a flexible and simple data framework to connect custom data sources with large language models. LlamaIndex is a powerful tool to enhance your LLM applications. Connect your existing data formats and sources (APIs, PDFs, documents, SQL etc.). Use with a large-scale language model application. Store and index data for different uses. Integrate downstream vector stores and database providers. LlamaIndex is a query interface which accepts any input prompts over your data, and returns a knowledge augmented response. Connect unstructured data sources, such as PDFs, raw text files and images. Integrate structured data sources such as Excel, SQL etc. It provides ways to structure data (indices, charts) so that it can be used with LLMs.

All the steps involved in building machine learning algorithms and predicting results, all in one click. Data Dialog allows you to easily shape your data without having to wrangle your files. Your prediction reports can be shared with your team members or made public. Let anyone make predictions on your model. Our low-code API allows you to integrate dynamic ML predictions directly into your app. Real-time prediction of willingness to pay, score leads, and many other things. AI gives you access to the most advanced algorithms in the world, without compromising on performance. Forecast revenue, optimize supply chain, personalize your marketing. Now you can see what the next steps are. In minutes, you can add a CSV file or integrate with your favorite data sources. Select your prediction column from the dropdown and we'll automatically build the AI. Visualize the top drivers, predicted results, and simulate "what-if?" scenarios.

Metal is a fully-managed, production-ready ML retrieval platform. Metal embeddings can help you find meaning in unstructured data. Metal is a managed services that allows you build AI products without having to worry about managing infrastructure. Integrations with OpenAI and CLIP. Easy processing & chunking of your documents. Profit from our system in production. MetalRetriever is easily pluggable. Simple /search endpoint to run ANN queries. Get started for free. Metal API Keys are required to use our API and SDKs. Authenticate by populating headers with your API Key. Learn how to integrate Metal into your application using our Typescript SDK. You can use this library in JavaScript as well, even though we love TypeScript. Fine-tune spp programmatically. Indexed vector data of your embeddings. Resources that are specific to your ML use case.

The next-generation low-code solution combines AI-driven customisation with full code access to provide ultimate flexibility. You can easily customize, style and launch your SaaS MVP. Our low-code framework allows you to build your site quickly and easily. AI will help you create a fully functional SaaS MVP. Our platform, which uses Next.js, Tailwind and other technologies, integrates seamlessly with NextAuth Stripe and more. This ensures a robust, modern development experience. You have full access to the source code, allowing you to customize, scale and modify your SaaS app to align perfectly with your vision. You can save time and effort by simply entering your information into the MVP. Use generative AI to automate the writing of copy, styling, and customizing every aspect of your SaaS MVP. This will streamline the entire development process.

Everything you need to turn your ideas into AI apps within minutes. Our platform is easy to use and anyone can create next-generation AI-powered applications in just 10 minutes. Integrate APIs such as ChatGPT, Dalle-2 and Codex from Open AI seamlessly and even create custom ML models. To manage inventory, sales, contracts, and other functions, you can create a custom admin client or CRUD functionality. Dynamic dashboards can be created to transform data into actionable insights, and drive innovation for your business. Create a chatbot with multiple integrations to improve customer service and create an omnichannel experience. All-in-one cloud platform that combines low-code/no code tools with edge technologies. This makes your web application easy to manage, secure, and scalable. Our no-code/low code platform is perfect for both professional and business developers.

Public datasets can help you improve the accuracy of your machine-learning models. Use curated datasets to save time on data preparation and discovery. These datasets are ready for use in machine-learning workflows and can be accessed from Azure services. Consider real-world factors which can have an impact on business outcomes. By incorporating features of curated datasets in your machine learning model, you can improve the accuracy and reduce the time required for data preparation. Share datasets with the growing community of data analysts and developers. Azure Open Datasets can be used to deliver insights at hyperscale with Azure's machine-learning and data analytics solutions. Open Datasets are free to use. Open Datasets are free to use, but you'll only be charged for the Azure services you consume, such as virtual machines, storage, networking resources and machine learning. Open data that has been curated and made available on Azure.

PlugBear provides a low-code/no-code solution to connect communication channels with LLM applications (Large Language Model). It allows, for example, the creation of a Slack Bot from an LLM application in just a few simple clicks. PlugBear is notified when a trigger event occurs on the integrated channels. It then transforms messages into LLM applications, and initiates generation. PlugBear then transforms the generated results so that they are compatible with each channel. This allows users to interact with LLM applications seamlessly across different channels.

PredictSense is an AI-powered machine learning platform that uses AutoML to power its end-to-end Machine Learning platform. Accelerating machine intelligence will fuel the technological revolution of tomorrow. AI is key to unlocking the value of enterprise data investments. PredictSense allows businesses to quickly create AI-driven advanced analytical solutions that can help them monetize their technology investments and critical data infrastructure. Data science and business teams can quickly develop and deploy robust technology solutions at scale. Integrate AI into your existing product ecosystem and quickly track GTM for new AI solution. AutoML's complex ML models allow you to save significant time, money and effort.

AIxBlock is an end-to-end blockchain-based platform for AI that harnesses unused computing resources of BTC miners, as well as all global consumer GPUs. Our platform's training method is a hybrid machine learning approach that allows simultaneous training on multiple nodes. We use the DeepSpeed-TED method, a three-dimensional hybrid parallel algorithm which integrates data, tensor and expert parallelism. This allows for the training of Mixture of Experts models (MoE) on base models that are 4 to 8x larger than the current state of the art. The platform will identify and add compatible computing resources from the computing marketplace to the existing cluster of training nodes, and distribute the ML model for unlimited computations. This process unfolds dynamically and automatically, culminating in decentralized supercomputers which facilitate AI success.

Llama Stack is a flexible framework designed to simplify the development of applications utilizing Meta’s Llama language models. It features a modular client-server architecture that allows developers to customize their setup by integrating different providers for inference, memory, agents, telemetry, and evaluations. With pre-configured distributions optimized for various deployment scenarios, Llama Stack enables a smooth transition from local development to production. It supports multiple programming languages, including Python, Node.js, Swift, and Kotlin, making it accessible across different tech stacks. Additionally, the framework provides extensive documentation and sample applications to help developers efficiently build and deploy Llama-powered solutions.