Alternatives to PostgresML

Fully managed ML tools allow you to build, deploy and scale machine-learning (ML) models quickly, for any use case. Vertex AI Workbench is natively integrated with BigQuery Dataproc and Spark. You can use BigQuery to create and execute machine-learning models in BigQuery by using standard SQL queries and spreadsheets or you can export datasets directly from BigQuery into Vertex AI Workbench to run your models there. Vertex Data Labeling can be used to create highly accurate labels for data collection.

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.

Artificial intelligence long-term memory The Pinecone vector database makes 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.

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.

Build your RAG system intuitively with fewer abstractions than solutions like LangChain. You can choose from a variety of hosted and remote providers, including vector databases, datasets and Large Language Models. SciPhi allows you to version control and deploy your system from anywhere using Git. SciPhi's platform is used to manage and deploy an embedded semantic search engine that has over 1 billion passages. The team at SciPhi can help you embed and index your initial dataset into a vector database. The vector database will be integrated into your SciPhi workspace along with your chosen LLM provider.

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).

Cloud-hosted AI packages that are managed and cloud-hosted will make it easier to ship AI faster. GPT-4 support is fully integrated. API tokens do not need to be used. Use our low-code framework to build. All major models can be integrated. Get an instant API by deploying. Scale and share your API without having to manage infrastructure. Make prompts, prompt chains, basic Python, and managed APIs. A clever prompt can be turned into a publicly available API that you can share. Python allows you to add logic and routing smarts. Steamship connects with your favorite models and services, so you don't need to learn a different API for each provider. Steamship maintains model output in a standard format. Consolidate training and inference, vector search, endpoint hosting. Import, transcribe or generate text. It can run all the models that you need. ShipQL allows you to query across all the results. Packages are fully-stack, cloud-hosted AI applications. Each instance you create gives you an API and private data workspace.

You can embed and store images, documents, and other information. No additional work required for high-performance retrieval workflows. Connect your data via the UI and API. Baseplate handles storage, embedding, and version control to ensure that your data is always up-to-date and in-sync. Hybrid Search with customized embeddings that are tailored to your data. No matter what type, size or domain of data you are searching for, you will get accurate results. Any LLM can be generated using data from your database. Connect search results to an App Builder prompt. It takes just a few clicks to deploy your app. Baseplate Endpoints allow you to collect logs, human feedback, etc. Baseplate Databases enable you to embed and store data in the same table with images, links, text, and other elements that make your LLM app great. You can edit your vectors via the UI or programmatically. We can version your data so that you don't have to worry about duplicates or stale data.

Carbon is a cost-effective alternative to expensive pipelines. You only pay monthly for usage. Utilise less and spend less with our usage-based pricing; use more and save more. Use our ready-made components for file uploading, web scraping, and 3rd party verification. A rich library of APIs designed for developers that import AI-focused data. Create and retrieve chunks, embeddings and data from all sources. Unstructured data can be searched using enterprise-grade keyword and semantic search. Carbon manages OAuth flows from 10+ sources. It transforms source data to vector store-optimized files and handles data synchronization automatically.

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.

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.

No one wants to have their AI respond to a client with outdated information. Neum AI provides accurate and current context for AI applications. Set up your data pipelines quickly by using built-in connectors. These include data sources such as Amazon S3 and Azure Blob Storage and vector stores such as Pinecone and Weaviate. Transform and embed your data using built-in connectors to embed models like OpenAI, Replicate and serverless functions such as Azure Functions and AWS Lambda. Use role-based controls to ensure that only the right people have access to specific vectors. Bring your own embedding model, vector stores, and sources. Ask us how you can run Neum AI on your own cloud.

Unstructured data is the future for AI. This future is now possible. Build an ML/AI pipeline to scale all your unstructured data from one place. Graviti allows you to use better data to create better models. Learn about Graviti, the data platform that allows AI developers to manage, query and version control unstructured data. Quality data is no longer an expensive dream. All your metadata, annotations, and predictions can be managed in one place. You can customize filters and see the results of filtering to find the data that meets your needs. Use a Git-like system to manage data versions and collaborate. Role-based access control allows for safe and flexible team collaboration. Graviti's built in marketplace and workflow creator makes it easy to automate your data pipeline. No more grinding, you can quickly scale up to rapid model iterations.

Arches AI offers tools to create chatbots, train custom model, and generate AI-based content, all tailored to meet your specific needs. Deploy stable diffusion models, LLMs and more. A large language model agent (LLM) is a type artificial intelligence that uses deep-learning techniques and large data sets in order to understand, summarize and predict new content. Arches AI converts your documents into 'word embeddings.' These embeddings let you search by semantic meaning rather than by exact language. This is extremely useful when trying understand unstructured text information such as textbooks or documentation. Your information is protected from hackers and other bad characters by the strict security rules. You can delete all documents on the 'Files page'.

Klu.ai, a Generative AI Platform, simplifies the design, deployment, and optimization of AI applications. Klu integrates your Large Language Models and incorporates data from diverse sources to give your applications unique context. Klu accelerates the building of applications using language models such as Anthropic Claude (Azure OpenAI), GPT-4 (Google's GPT-4), and over 15 others. It allows rapid prompt/model experiments, data collection and user feedback and model fine tuning while cost-effectively optimising performance. Ship prompt generation, chat experiences and workflows in minutes. Klu offers SDKs for all capabilities and an API-first strategy to enable developer productivity. Klu automatically provides abstractions to common LLM/GenAI usage cases, such as: LLM connectors and vector storage, prompt templates, observability and evaluation/testing tools.

BenchLLM allows you to evaluate your code in real-time. Create test suites and quality reports for your models. Choose from automated, interactive, or custom evaluation strategies. We are a group of engineers who enjoy building AI products. We don't want a compromise between the power, flexibility and predictability of AI. We have created the open and flexible LLM tool that we always wanted. CLI commands are simple and elegant. Use the CLI to test your CI/CD pipeline. Monitor model performance and detect regressions during production. Test your code in real-time. BenchLLM supports OpenAI (Langchain), and any other APIs out of the box. Visualize insightful reports and use multiple evaluation strategies.

Stop wasting your time managing integrations and fighting the limitations of "black-box" "solutions". Instantly integrate data from any source into your app in the format you prefer. 500+ API & DB Sources, connector SDKs, OAuth flows and flexible data models. Instant vector embeddings. Managed transactional & analytic storage. Instant SQL, REST & GraphQL APIs. Arch allows you to build AI-powered features based on your customer's data, without having to worry and maintain bespoke data infrastructure.

Powerful language models a click away. Join over 8,000 developers in building the next wave world-changing applications. Fine-tune GPT-J and deploy Codegen, FLAN-T5, GPT NeoX and GPT NeoX. There are multiple models with different capabilities and prices. GPT-J has the fastest speed, while GPT NeoX is the most powerful. And more models are coming. These models can be used for classification, entity extracting, code generation and chatbots. They can also be used for content generation, summarizations, paraphrasings, sentiment analysis and more. These models have already been pre-trained using a large amount of text taken from the internet. The fine-tuning process improves this for specific tasks, by training on more examples than are possible in a prompt. This allows you to achieve better results across a range of tasks.

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.

Enterprise AI applications can be built, deployed, and operated. C3 AI®, Suite uses a unique model driven architecture to speed delivery and reduce the complexity of developing enterprise AI apps. The C3 AI model-driven architecture allows developers to create enterprise AI applications using conceptual models, rather than long code. This has significant benefits: AI applications and models can be used to optimize processes for every product or customer across all regions and businesses. You will see results in just 1-2 quarters. Also, you can quickly roll out new applications and capabilities. You can unlock sustained value - hundreds to billions of dollars annually - through lower costs, higher revenue and higher margins. C3.ai's unified platform, which offers data lineage as well as governance, ensures enterprise-wide governance for AI.

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.

Natural Language Processing is Artificial Intelligence. It allows computers to understand and analyze human language. Pryon's AI can read, organize, and search in ways that were previously impossible for humans. This powerful ability is used in every interaction to both understand a request as well as to retrieve the correct response. The sophistication of the underlying natural languages technologies is directly related to the success of any NLP project. Your content can be used in chatbots, search engines, automations, and other ways. It must be broken down into pieces so that a user can find the exact answer, result, or snippet they are looking for. This can be done manually or by a specialist who breaks down information into intents or entities. Pryon automatically creates a dynamic model from your content to attach rich metadata to each piece. This model can be regenerated in a click when you add, modify or remove content.

Gen App Builder is unique because, unlike other generative AI solutions for developers, it provides an orchestration layer which abstracts the complexity involved in combining enterprise systems and generative AI tools, resulting in a smooth and helpful user experience. Gen App Builder offers step-by-step orchestration for search and conversational apps with pre-built workflows to help developers set up and deploy their applications. Gen App Builder allows developers to: Build in minutes or even hours. Google's conversational and search tools powered with foundation models allow organizations to quickly create high-quality experiences which can be integrated into applications and websites.

Set up your workspace easily by integrating GPT language models with your provider key for unparalleled performance. LLM Spark's GPT templates can be used to create AI applications quickly. Or, you can start from scratch and create unique projects. Test and compare multiple models at the same time to ensure optimal performance in multiple scenarios. Save versions and history with ease while streamlining development. Invite others to your workspace so they can collaborate on projects. Semantic search is a powerful search tool that allows you to find documents by meaning and not just keywords. AI applications can be made accessible across platforms by deploying trained prompts.

It's easy to build advanced predictive models with no math or coding in just a few clicks. The Complete Experience We provide everything you need, from cleaning data to building models to forecasting, and everything in between. Trustworthy. Learn the "why" behind AI decisions to drive business with actionable insight. Data Analytics in minutes without having to write code. In one click, you can complete the entire process of building ML algorithms, explaining results and predicting future outcomes. Machine Learning in 3 Steps You can go from raw data to actionable insights without writing a single line code. Upload your data. Ask questions in plain English Find the best model for your data. Share your results. Increase customer productivity We assist companies to use no code Machine Learning to improve their Customer Experience.

A system that can scale to millions of users, without requiring an engineering team. Create, customize and deploy your chat-based AI. Finance chatbot. xFinance is a 13-billion-parameter model fine-tuned using LoRA. Our goal was show that impressive results can be achieved in financial NLP without breaking the bank. Your own AI assistant to chat with documents. Single or multiple documents. Simple or complex questions. Easy-to-use deep learning platform, hardware efficient algorithms that speed up inference and lower costs. Real-time monitoring and logging of resource usage and cloud costs for deployed models. xTuring, an open-source AI software for personalization, is a powerful tool. xTuring provides a simple interface for personalizing LLMs based on your data and application.

Viso Suite is the only platform that can handle computer vision from all sides. It allows teams to quickly train, create, deploy, and manage computer vision applications without having to write code. Viso Suite enables you to create industry-leading computer vision systems and real-time deep learning systems using low-code and automated software infrastructure. Traditional development methods, fragmented tools and a lack of experience engineers are causing organizations to lose a lot of time, which can lead to inefficient, low-performing and costly computer vision systems. Viso Suite, an all-in-one enterprise visual platform, automates the entire lifecycle to build and deploy computer vision applications. High-quality training data can be collected using automated collection capabilities. All data collection can be controlled and secured. Continuous data collection is a key component of your AI models.

No coding is required to create AI voice assistants that can make outbound calls and answer inbound calls. They can also schedule appointments 24 hours a day. Forget expensive machine learning teams and lengthy development cycles. Synthflow allows you to create sophisticated, tailored AI agents with no technical knowledge or coding. All you need is your data and your ideas. Over a dozen AI agents are available for use in a variety of applications, including document search, process automaton, and answering questions. You can use an agent as is or customize it according to your needs. Upload data instantly using PDFs, CSVs PPTs URLs and more. Every new piece of information makes your agent smarter. No limits on storage or computing resources. Pinecone allows you to store unlimited vector data. You can control and monitor how your agent learns. Connect your AI agent to any data source or services and give it superpowers.

Graphlit simplifies the process of building an AI copilot or chatbot or adding LLMs to your existing application. Graphlit is a serverless platform that automates complex data processes, including data ingestion and extraction, LLM conversations. It also integrates webhooks, alerting, semantic search, and alerting. Graphlit's workflow as code approach allows you to programmatically define every step in the workflow. Data ingestion, metadata indexing, data preparation and data enrichment. Integration with your applications is achieved through event-based webhooks, API integrations, and integrations with event-based Webhooks.

A platform that offers a variety of machine learning algorithms to meet data mining and analysis needs. Machine Learning Platform for AI offers end-to-end machine-learning services, including data processing and feature engineering, model prediction, model training, model evaluation, and model prediction. Machine learning platform for AI integrates all these services to make AI easier than ever. Machine Learning Platform for AI offers a visual web interface that allows you to create experiments by dragging components onto the canvas. Machine learning modeling is a step-by-step process that improves efficiency and reduces costs when creating experiments. Machine Learning Platform for AI offers more than 100 algorithm components. These include text analysis, finance, classification, clustering and time series.

Embeddings for your images and vector stores. Imagine OpenAI + Pinecone for images. Say goodbye to manual tagging of images and hello to seamless integration. Image embeddings are powerful tools that streamline the process of searching, storing, and retrieving pictures. Add image search functionality to your GPT bots with just a few easy steps. Add visual capabilities to AI searches. Search your own photo catalog and answer your customers' questions.

Build and deploy deep-learning models for custom use scenarios. Our automated machine-learning process allows customers create powerful AI solutions based on our best-in class models and tailored to their specific challenges. Digital platforms can quickly create custom models that fit their guidelines and requirements. Build large language models to support specialized use cases, such as bots for customer and technical service. Create image classification models for better understanding image libraries, including search, organization and more.

Your team can develop AI applications using models such as GPT-4, and operate them visually. You can deploy your application within 5 minutes, whether it is for internal team use or an external release. Using documents/webpages/Notion content as the context for AI, automatically complete text preprocessing, vectorization and segmentation. No need to learn embedding methods anymore. This will save you weeks of development. Dify offers a smooth user experience for model access and context embedding. It also provides cost control, data annotation, and cost control. You can easily create AI apps for internal team use, or product development. Start with a prompt but go beyond its limitations. Dify offers rich functionality in many scenarios.

You can build any AI model without writing a line of code. These models can be used for Portfolio optimization, Roboadvisors and Recommendation engines, as well as fraud detection. Asset management can seem overwhelming. Codenull is here to help you! It can optimize your portfolio to get the highest returns by using asset value history. An AI model can be trained on past data about logistic costs to make accurate predictions for the future. We can solve any AI problem. Let's get in touch and create AI models that are tailored to your business.

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.

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.

An end-to-end solution gives you all the tools your data science team needs to scale your machine learning development, from research to production. cnvrg.io, the world's leading data science platform for MLOps (model management) is a leader in creating cutting-edge machine-learning development solutions that allow you to build high-impact models in half the time. In a collaborative and clear machine learning management environment, bridge science and engineering teams. Use interactive workspaces, dashboards and model repositories to communicate and reproduce results. You should be less concerned about technical complexity and more focused on creating high-impact ML models. The Cnvrg.io container based infrastructure simplifies engineering heavy tasks such as tracking, monitoring and configuration, compute resource management, server infrastructure, feature extraction, model deployment, and serving infrastructure.

No more complicated templates and file restrictions. Integrate LLMs such as ChatGPT easily with vector databases, OCR PDF, and more. Chain prompts and transforms to create tailor-made AI experiences. From templates to adaptive chains. Our unique LLM features, such as quality control and semantic cache, can help you to save money and prevent hallucinations. We will take care of infrastructure management, hosting and scaling. Relevance AI will do the heavy lifting in just minutes. It can extract data from unstructured data in a flexible way. Relevance AI allows the team to extract data with over 90% accuracy within an hour.

Your ML teams can auto-diagnose and improve their data and models to create robust and performant AI models. Only platform that can automatically diagnose data and models, empowering ML team to deliver robust and performant AI model faster. Camera noise, shadows, sign stickers, and other factors are covered. Confirmed using real-world images of models that consistently fail. While improving model accuracy by 0.2%. Our mission is to transform the way that the next generation AI systems are built. We need to create AI systems that are trusted by both users and companies if we want to use AI in our homes, offices, hospitals, roads, and businesses. We are leading AI researchers and professors at ETH Zurich. Our expertise includes formal methods, symbolic reasoning and machine learning. LatticeFlow was founded with the goal to create the first platform that allows companies to develop robust AI models that can be used in the wild.

StartKit.AI was designed to accelerate the development of AI-based projects. It offers pre-built routes for all common AI tasks, including chat, images and long-form texts, as well as speech-to text, text-tospeech, translations and moderation. Also, more complex integrations such as web-crawlings, vector embeddings and more! It also comes with features for managing API limits and users, as well as a detailed documentation of all the code provided. Upon purchase, the customer receives access to the entire StartKit.AI GitHub repository, where they can customize and download the full code base. The code base includes 6 demo apps, which show you how to create your very own ChatGPT clone. This is the perfect starting point for creating your own app.

Generative AI can boost your productivity and inspire you to create more content. It is bound and grounded by industry standards and intelligence. Content can be rated for reliability, political leaning, and alignment with your brand safety themes. Our AI models are rigorously reviewed and tested by leading experts and scientists to train our dataset with only the most trustworthy content on the web. Use the most reliable large language model (LLM), which is used by the industry, to create new content quickly, accurately, and for a low cost. AI tools can help you speed up processes and improve business outcomes. They are designed to reduce costs while delivering astronomical results.

Multi-model AI can help you build a better AI. AI models are an entirely new type of building block. Sieve makes it easy to use these building block to understand audio, create video, and more. The latest models are available in just a few line of code and there is a set of production-ready applications for many different use cases. Import your favorite models like Python packages. Visualize results using auto-generated interfaces created for your entire team. Easily deploy custom code. Define your environment computation in code and deploy it with a single command. Fast, scalable infrastructure with no hassle. Sieve is designed to scale automatically as your traffic grows with no extra configuration. Package models using a simple Python decorator, and deploy them instantly. A fully-featured observability layer that allows you to see what's going on under the hood. Pay only for the seconds you use. Take full control of your costs.

AlwaysAI offers developers a simple and flexible way for them to create, train, and deploy computer-vision applications to a wide range of IoT devices. You can choose from a variety of deep learning models, or upload your own. Our flexible and customizable APIs make it easy to quickly enable core computer vision services. You can quickly prototype, test, and iterate using a variety camera-enabled ARM32, ARM64, and x86 devices. Identify objects in an image using their names or classifications. Identify and count objects in real-time video feeds. Follow the same object through a series of frames. To count or track faces or complete bodies in a scene, locate them. Identify and draw borders around objects. You can separate the key objects from the background visuals in an image. Determine human body postures, fall detection, and emotions. To train an object detection model, use our model training toolkit. You can create a model that is tailored to your particular use-case.

There are options for every business to train deep and machine learning models efficiently. There are AI accelerators that can be used for any purpose, from low-cost inference to high performance training. It is easy to get started with a variety of services for development or deployment. Tensor Processing Units are ASICs that are custom-built to train and execute deep neural network. You can train and run more powerful, accurate models at a lower cost and with greater speed and scale. NVIDIA GPUs are available to assist with cost-effective inference and scale-up/scale-out training. Deep learning can be achieved by leveraging RAPID and Spark with GPUs. You can run GPU workloads on Google Cloud, which offers industry-leading storage, networking and data analytics technologies. Compute Engine allows you to access CPU platforms when you create a VM instance. Compute Engine provides a variety of Intel and AMD processors to support your VMs.

Your platform for developing generative AI and custom copilots. Use pre-built and customizable AI model on your data to build solutions faster. Explore a growing collection of models, both open-source and frontier-built, that are pre-built and customizable. Create AI models using a code first experience and an accessible UI validated for accessibility by developers with disabilities. Integrate all your OneLake data into Microsoft Fabric. Integrate with GitHub codespaces, Semantic Kernel and LangChain. Build apps quickly with prebuilt capabilities. Reduce wait times by personalizing content and interactions. Reduce the risk for your organization and help them discover new things. Reduce the risk of human error by using data and tools. Automate operations so that employees can focus on more important tasks.

The first AI platform for business that does not require any code allows you to train and deploy GPT models in any use case. Our experts are ready to assist you. Our cost-effective tools can be used to fine-tune your open source models using your own data. You can deploy your open source model securely across multiple clouds, without having to rely on a third-party vendor for your valuable data. Our team of experts will create the perfect app for your needs. Our tool allows you to easily monitor your usage, and reduce costs. Let our team of experts help you solve your problems. Automate your customer service and efficiently classify your calls. Our advanced solution allows you to streamline customer interaction and improve service delivery. Build a robust system to detect fraud and anomalies based on previously flagged information.

One development environment for all data science workflows. Natively analyze your data without the need to switch between services. Data to training at scale Models can be built and trained 5X faster than traditional notebooks. Scale up model development using simple connectivity to Vertex AI Services. Access to data is simplified and machine learning is made easier with BigQuery Dataproc, Spark and Vertex AI integration. Vertex AI training allows you to experiment and prototype at scale. Vertex AI Workbench allows you to manage your training and deployment workflows for Vertex AI all from one location. Fully managed, scalable and enterprise-ready, Jupyter-based, fully managed, scalable, and managed compute infrastructure with security controls. Easy connections to Google Cloud's Big Data Solutions allow you to explore data and train ML models.

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 cloud-based platform automatically configures your ComfyUI work flow. Each workflow comes with all the necessary custom nodes and model, ensuring an easy start. ComfyUI Cloud GPUs are high-performance and will unlock the full potential of any creative project. Profit from faster processing rates at market-leading speeds, ensuring time and cost savings. ComfyUI cloud can be launched instantly without installation, resulting in a fully-prepared environment that is ready to use immediately. ComfyUI workflows are ready to use, with pre-set nodes and models. This eliminates the need for configuration in the cloud. Our powerful GPUs will boost productivity and efficiency for creative projects.

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.