Alternatives to Manot

The open-source ML observability Platform. From validation to production, evaluate, test, and track ML models. From tabular data up to NLP and LLM. Built for data scientists and ML Engineers. All you need to run ML systems reliably in production. Start with simple ad-hoc checks. Scale up to the full monitoring platform. All in one tool with consistent APIs and metrics. Useful, beautiful and shareable. Explore and debug a comprehensive view on data and ML models. Start in a matter of seconds. Test before shipping, validate in production, and run checks with every model update. By generating test conditions based on a reference dataset, you can skip the manual setup. Monitor all aspects of your data, models and test results. Proactively identify and resolve production model problems, ensure optimal performance and continually improve it.

Available in more than 20 programming languages, including Python, JavaScript and TypeScript, Ruby, TypeScript, Go, Ruby and many others. BLACKBOX AI code search was created so that developers could find the best code fragments to use when building amazing products. Integrations with IDEs include VS Code and Github Codespaces. Jupyter Notebook, Paperspace, and many more. C#, Java, C++, C# and SQL, PHP, Go and TypeScript are just a few of the languages that can be used to search code in Python, Java and C++. It is not necessary to leave your coding environment in order to search for a specific function. Blackbox allows you to select the code from any video and then simply copy it into your text editor. Blackbox supports all programming languages and preserves the correct indentation. The Pro plan allows you to copy text from over 200 languages and all programming languages.

Scores are available for factual accuracy and context retrieval, as well as guideline adherence and tonality. You can't improve if you don't measure. UpTrain continuously monitors the performance of your application on multiple evaluation criteria and alerts you if there are any regressions. UpTrain allows for rapid and robust experimentation with multiple prompts and model providers. Since their inception, LLMs have been plagued by hallucinations. UpTrain quantifies the degree of hallucination, and the quality of context retrieved. This helps detect responses that are not factually accurate and prevents them from being served to end users.

Get a complete picture of the performance of your model. Log inputs and out-puts, and enrich them with metadata. Find out what your model is doing and where it can be improved. Monitor for errors, and identify underperforming cohorts or use cases. The best models are based on user data. To retrain your model, you can programmatically gather examples that are unusual or underperforming. When changing your model or prompt, stop manually reviewing thousands outputs. Apps powered by LLM can be evaluated programmatically. Detect and fix degradations fast. Monitor new deployments and edit your app in real-time. Connect your data sources to your self-hosted model or third-party model. Our serverless streaming dataflow engines can handle large amounts of data. Gantry is SOC-2-compliant and built using enterprise-grade authentication.

Create a custom computer vision model in minutes. AI Custom Vision is part of Azure AI services and allows you to customize and embed the latest computer vision image analysis in specific domains. Create frictionless customer experiences. Optimize manufacturing processes. Accelerate digital marketing campaigns. No machine learning knowledge is required. Set your model to recognize a specific object for your application. Easy to build your image identifier using the simple interface. Upload and label a few images to start training your computer vision models. The model will test itself and improve its precision as you add more images. Use customizable, built-in retail, manufacturing, or food models to speed up development. Minsur, the world's largest mine of tin, uses AI Custom Vision to achieve sustainable mining. You can rely on enterprise-grade privacy and security for your data.

Our platforms are a solid foundation for custom machine learning and artificial Intelligence solutions. Build next-best-action applications that learn, adapt, and optimize using reinforcement-learning based algorithms. Custom, continuously-improving deep learning vision models to solve your unique challenges. Forecasts that are up-to-date will help you predict the future. Cloud-based tools that monitor and analyze cloud data will help you make better decisions for your company. Experienced data scientists and engineers face a challenge in transforming a machine learning application from research and ad hoc code to a robust, scalable platform. With a comprehensive suite of tools to manage and deploy your machine learning applications, Strong ML makes this easier.

PaliGemma 2 is the next evolution of tunable vision language models. It builds on the Gemma 2 models and adds the power of vision, making it easier to fine-tune the models for exceptional performance. PaliGemma 2 allows these models to see, understand and interact with visual input. This opens up a whole new world of possibilities. It has a scalable performance, with multiple model sizes (3B, 10B, 28B parameters), and resolutions (224px, 448px, 896px). PaliGemma generates contextually relevant, detailed captions for images. It goes beyond simple object recognition to describe actions, feelings, and the overall story of the scene. As detailed in the technical reports, our research shows that we have achieved leading performance in chemical formulation recognition, music score identification, spatial reasoning, chest X-ray generation, and chest X ray report generation. PaliGemma 1 users can upgrade to PaliGemma 2.

Qwen2.5-VL is an advanced vision-language model in the Qwen series, offering improved visual comprehension and reasoning over its predecessor, Qwen2-VL. It can accurately interpret a wide range of visual elements, including text, charts, icons, and layouts, making it highly effective for complex image and document analysis. Acting as an intelligent visual agent, the model can dynamically interact with tools, analyze extended video content over an hour long, and identify key segments with precision. It also excels in object localization, generating bounding boxes or points with structured JSON outputs for various attributes. Additionally, Qwen2.5-VL supports structured data extraction from documents such as invoices, forms, and tables, benefiting industries like finance and commerce. Available in base and instruct versions across 3B, 7B, and 72B model sizes, it is accessible on platforms like Hugging Face and ModelScope for seamless integration.

Our fully managed solution makes it easy to create training datasets for computer-vision models. Data labeling is a key factor in creating effective deep learning models. We aim to be the industry's most trusted data labeling platform, helping companies fully take advantage of AI's potential. You can organize your media using discrete categories. You can identify items of interest using one or more bounding boxes. Similar to bounding boxes but with more precision. You can annotate objects with precise width, depth, height. Each pixel in an image should be classified. Each point in an image should be marked. Annotate straight lines within an image. Measure, yaw and pitch the item of interest. Annotate timestamps in audio and video content. Annotate lines that are not defined in an image.

Cloneable combines sophisticated logic with an easy-to-use builder that doesn't require any code to create custom deep-tech apps compatible with any device. Cloneable integrates your deep tech with unique business logic so you can create and distribute tailored apps on any edge device. Apps can easily be created in minutes. This is perfect for non-technical audiences who want to make immediate process changes, and for engineers that want to rapidly develop complex field tools. Launch, update, and test your AI models and computer vision on any device (phones, IoT, clouds, robots). Cloneable's builder allows you to deploy apps instantly. You can use your own model, or one of our templates, to accelerate any data collection process. Cloneable is built with unlimited flexibility so you can count assets, measure them, inspect them, and track their location. Intelligent apps can digitize processes, scale expertise, increase transparency and auditability, among other things.

You can build and scale your computer vision model quickly and easily. NeuCore makes it easy to develop, train, and deploy your computer vision model in just minutes. You can scale it up to millions of times. One-stop platform that manages all aspects of the model lifecycle including training, development, deployment, maintenance, and maintenance. Advanced data encryption is used to protect your information throughout the entire process, from training to inference. Fully integrated vision AI models can be easily integrated into existing systems and workflows, or even onto edge devices. Seamless scaling allows for your evolving business needs and business requirements. Splits an image into sections that contain different objects. Machine-readable text extracted from images. This model can also be used to read handwriting. NeuCore makes it easy to build computer vision models. It's as simple as one-click and drag-and-drop. Advanced users can access code scripts and watch tutorial videos to customize the software.

Lodestar is a complete solution for creating computer vision models from video data. The world's first active learning data annotation platform allows you to label hours of video and speed up the creation of high-quality datasets and computer vision models. Automated data preparation makes it easy to drag and drop 10 hours worth of video into one project. Multiple video formats are supported and no data curation is required. Annotators and data scientists can collaborate to create a functional object detection model within an hour by using continuous model training and a shared managed dataset. Every plan comes with unlimited labels.

Qwen2-VL, the latest version in the Qwen model family of vision language models, is based on Qwen2. Qwen2-VL is a newer version of Qwen-VL that has: SoTA understanding of images with different resolutions & ratios: Qwen2-VL reaches state-of-the art performance on visual understanding benchmarks including MathVista DocVQA RealWorldQA MTVQA etc. Understanding videos over 20 min: Qwen2-VL is able to understand videos longer than 20 minutes, allowing for high-quality video-based questions, dialogs, content creation, and more. Agent that can control your mobiles, robotics, etc. Qwen2-VL, with its complex reasoning and decision-making abilities, can be integrated into devices such as mobile phones, robots and other devices for automatic operation using visual environment and text instruction. Multilingual Support - To serve users worldwide, Qwen2-VL supports texts in other languages within images, besides English or Chinese.

AI and your existing IP camera infrastructure can help you respond to events and make better decision making. Cameras are almost exclusively used to monitor and secure surveillance. We offer cutting-edge Machine Vision models that will make your team a valuable resource. We help you improve your operations for your customers and staff without compromising your privacy. No facial recognition or long-term tracking. There are fewer people in the loop. Relying on staff to compile and watch footage is unscalable and invasive. We help you review only the important things and at the right time. Black.ai is a privacy layer that connects security cameras to operations teams. This allows you to create a better user experience without compromising their trust. Black.ai can interface with your existing cameras via parallel streaming protocols. Our system is easily installed without any additional infrastructure costs or risk of obstructing operations.

Pipeshift is an orchestration platform that allows for the deployment and scaling of open-source AI components. This includes embeddings and vector databases as well as large language models, audio models and vision models. The platform is cloud-agnostic and offers end-toend orchestration to ensure seamless integration and management. Pipeshift's enterprise-grade security is a solution for DevOps, MLOps, and MLOps teams looking to build production pipelines within their own organization, instead of using experimental API providers who may not have privacy concerns. The key features include an enterprise MLOps dashboard for managing AI workloads like fine-tuning and distillation; multi-cloud orchestration, with built-in autoscalers and load balancers; and Kubernetes Cluster Management.

Palmyra is an enterprise-ready suite of Large Language Models. These models are excellent at tasks like image analysis, question answering, and supporting over 30 languages. They can be fine-tuned for industries such as healthcare and finance. Palmyra models are notable for their top rankings in benchmarks such as Stanford HELM and PubMedQA. Palmyra Fin is the first model that passed the CFA Level III examination. Writer protects client data by not using it to train or modify models. They have a zero-data retention policy. Palmyra includes specialized models, such as Palmyra X 004, which has tool-calling abilities; Palmyra Med for healthcare; Palmyra Fin for finance; and Palmyra Vision for advanced image and video processing. These models are available via Writer's full stack generative AI platform which integrates graph based Retrieval augmented Generation (RAG).

Your software can see objects in video and images. A few dozen images can be used to train a computer vision model. This takes less than 24 hours. We support innovators just like you in applying computer vision. Upload files via API or manually, including images, annotations, videos, and audio. There are many annotation formats that we support and it is easy to add training data as you gather it. Roboflow Annotate was designed to make labeling quick and easy. Your team can quickly annotate hundreds upon images in a matter of minutes. You can assess the quality of your data and prepare them for training. Use transformation tools to create new training data. See what configurations result in better model performance. All your experiments can be managed from one central location. You can quickly annotate images right from your browser. Your model can be deployed to the cloud, the edge or the browser. Predict where you need them, in half the time.

The Robovision AI platform can be easily incorporated into existing infrastructures and operations. The user interface is easy to use and low barrier, making advanced machine vision available to all team members regardless of AI experience. The platform simplifies machine vision by deploying AI models at scale and training them. This reduces the complexity of machine vision, allowing for faster results. Combining artificial intelligence (AI), deep learning and visual data, it is possible to transform raw visual data into advanced and actionable insights. Robovision’s machine vision system can handle complex visual inputs for a variety of scenarios, such as inspecting products in an assembly line, tracking stock in real-time, or diagnosing conditions.

You can train your own models, access pre-trained computer vision models, and templates for creating AI apps. You can start creating your own dataset to detect objects by adding images of the object. Each dataset can contain up to 5000 images. Images are automatically added to your dataset and pushed into training. You will be notified once the model has finished training. To use your model for detection, you can simply download it. For quick coding, you can also add your model to one of our pre-existing templates. Our mobile app, which is available for both Android and IOS, uses the power of computer vision in order to assist people with complete blindness in their daily lives. It can alert you to dangerous objects and signs, recognize common objects, recognize text as well currencies, and understand basic scenarios using deep learning.

When capturing data in real-life situations is difficult, we create diverse, fully-labeled image datasets. Our procedural technology provides the highest-quality, unbiased, and labeled synthetic datasets to improve your computer vision model. AI Verse gives users full control over scene parameters. This allows you to fine-tune environments for unlimited image creation, giving you a competitive edge in computer vision development.

Casafy AI, the first property search engine in the world to analyze visual data, instantly identifies opportunities for buyers and vendors. By analyzing visual data, it allows users to find properties that meet their exact needs. AI agents can find your target properties within minutes, not months. Transform street-level data to actionable property intelligence. Our AI-powered search engine can reduce weeks of manual property scouting to just a few hours. It identifies investment opportunities across entire metro areas. Our advanced computer vision can automatically detect property conditions, investment opportunities, and maintenance needs from street-level images. Visual data can be converted into business opportunities by using precise property matching. This helps you identify and prioritise high-potential leads. Our vision models analyze properties live, detecting criteria that match your needs.

GPT-4 with Vision (GPT-4V), our latest capability, allows users to instruct GPT-4 on how to analyze images input by the user. Some researchers and developers of artificial intelligence consider the incorporation of additional modalities, such as image inputs, into large language models. Multimodal LLMs can be used to expand the impact of existing language-only systems by providing them with novel interfaces, capabilities and experiences. In this system card we analyze the GPT-4V safety properties. We have built on the safety work for GPT-4V and here we go deeper into the evaluations and preparations for image inputs.

Rupert AI envisions an era where marketing is no longer just about reaching out to audiences, but also engaging them in a personalized and effective manner. Our AI-driven solutions make this vision a real possibility for businesses of any size. Key Features - AI model: You can train a vision model, an item, a style, or a character. - AI workflows : Multiple AI workflows to create marketing and creative materials. AI Model Training: Benefits - Customized Solutions: Train your models to recognize specific items, styles, or character types that match your requirements. - Better Accuracy: Get results that are tailored to your specific needs. - Versatility : Useful in different industries such as design, marketing and gaming. - Faster Prototyping : Test new ideas and concepts quickly. Brand Differentiation - Create unique visual styles and assets to stand out.

GeoSpy, an AI-powered platform, converts low-context photos into precise GPS location predictions. It does this without relying upon EXIF data. GeoSpy is trusted by more than 1,000 organizations around the world. Its services are available in over 120 countries. The platform can process over 200,000 images per day and scale up to billions of images, providing fast, accurate, and secure geolocation services. GeoSpy Pro is designed for government and police agencies. It integrates advanced AI models to deliver meter level accuracy through state-of the-art computer vision in an easy-to use interface. GeoSpy also introduced SuperBolt - a new AI model which enhances visual place identification, improving geolocation predictions.

Azure AI Content Security is a platform for content moderation that uses AI to ensure your content remains safe. AI models can detect offensive or inappropriate text and images in seconds, allowing you to create better online experiences. Language models analyze multilingual texts, both in short and long form with an understanding of context, semantics, and syntax. Using the latest Florence technology, vision models can recognize images and detect objects. AI content classifiers can identify content that is sexual, violent, hateful, or self-harming with high levels granularity. The severity of content moderation is measured on a scale from low to high.

IBM Maximo Visual Inspection gives your quality control and inspection team the power of AI computer vision capabilities. It is an intuitive toolkit for labelling, training and deploying artificial vision models. You can quickly and easily deploy your model by using our drag-and-drop visual user interface. Or, you can import a model. IBM Maximo Visual Inspection allows you to create your own detect-and-correct solution using self learning machine algorithms. Watch the video below to see how easy it is automate your inspections with visual inspection tools.

AskUI is an advanced automation platform that enables AI agents to visually interpret and interact with any digital interface, making it possible to automate workflows across multiple operating systems, including Windows, macOS, Linux, and mobile devices. Using its proprietary PTA-1 prompt-to-action model, AskUI allows for AI-driven execution of tasks without requiring modifications like jailbreaking. The platform is ideal for automating UI interactions, visual testing, and data-driven processes, streamlining operations for developers and enterprises alike. It seamlessly integrates with popular tools like Jira, Jenkins, GitLab, and Docker to enhance efficiency and workflow automation. Companies leveraging AskUI have reported significant productivity gains, with some achieving over 90% improvements in test automation and internal processes.

Mistral AI announced a number of key updates on September 17, 2024 to improve the accessibility and performance. They introduced a free version of "La Plateforme", their serverless platform, which allows developers to experiment with and prototype Mistral models at no cost. Mistral AI has also reduced the prices of their entire model line, including a 50% discount for Mistral Nemo, and an 80% discount for Mistral Small and Codestral. This makes advanced AI more affordable for users. The company also released Mistral Small v24.09 - a 22-billion parameter model that offers a balance between efficiency and performance, and is suitable for tasks such as translation, summarization and sentiment analysis. Pixtral 12B is a model with image understanding abilities that can be used to analyze and caption pictures without compromising text performance.

Ray2 is an advanced video generative model that can create realistic visuals and natural, coherent movement. It can be trained to understand text instructions, and it can also take video and images as input. Ray2 has advanced capabilities because it was trained on Luma’s new multimodal architecture, which is 10x more powerful than Ray1. Ray2 is the first of a new generation video models that can produce fast, coherent motions, ultra-realistic detail, and logical sequences of events. This increases the number of successful generations and makes Ray2 videos more production-ready. Ray2 offers text-to video generation, and will soon add image-to, video-to, and editing features. Ray2 offers a new level of motion accuracy. Transform your vision into a smooth, cinematic and jaw-dropping reality. Visually tell your story using stunning cinematic visuals. Ray2 allows you to create stunning scenes with precise camera movement.

Bild AI is a platform that uses artificial intelligence to automate the manual and error-prone process for interpreting construction plans. Bild AI uses advanced computer vision models, large language models, and blueprint files to extract material quantities and cost estimates. This automation allows builders to produce accurate bids more quickly, allowing them up to ten-fold more projects to bid on with greater confidence. Bild AI helps to ensure code compliance beyond estimation by identifying potential problems before blueprint submission. This facilitates smoother permit processes. The platform improves blueprint accuracy by detecting errors and validating compliance with relevant standards and regulations.

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.

Detect phishing scams in websites, social media, mobile apps stores, gaming platforms and more. Next-gen computer vision and natural language models can identify the most impactful phishing attacks. Track enforcements using an audit trail that is automatically generated by our no-code interface. Stop fraudsters before they can scam your team and customers. Scan millions of sites, social media accounts and mobile apps. AI is used to classify brand infringements and phishing scams. Remove threats automatically as soon as they are detected. Doppel's system integrates with domain registrars and social media. It also integrates with digital marketplaces, app stores, dark web, digital marketplaces and other platforms. This gives you a comprehensive view and automated protection from external threats. This offers automated protection from external threats.

Cogniac's no code solution allows organizations to take advantage of the latest developments in Artificial Intelligence and convolutional neural network technology to deliver extraordinary operational performance. Cogniac's AI platform for machine vision enables enterprises to reach Industry 4.0 standards via visual data management and automated automation. Cogniac helps organizations' operations divisions deliver smart continuous improvement. Cogniac's user interface was designed to be used by non-technical users. The Cogniac platform's drag-and-drop nature allows subject matter experts and other specialists to concentrate on the tasks that are most important. Cogniac can detect defects in as few as 100 images. After being trained with 25 approved images and 75 deficient images, Cogniac AI can deliver results comparable to human subject matter experts within hours.

BriefCam®, a complete video content analytics platform, drives exponential value from surveillance system investment by making video searchable. It also makes it actionable and quantifiable. VIDEO SYNOPSIS® and Deep Learning solutions combine to enable quick video review, search, face recognition, and quantitative video insights. This technology improves post-event investigation productivity by pinpointing individuals and objects of interest quickly and precisely. Organizations can respond quickly to changes in their environment with real-time alerting capabilities. Users can quantitatively analyze their video by extracting and aggregating video metadata, such as the names of men, women, children and vehicles. BriefCam's video content analytics platform for video content is used by law enforcement, public safety agencies, government and transport agencies, major corporations, healthcare, and educational institutions.

Unleash Live is an A.I. video analytics enterprise solution provider. We combine any camera's vision with computer vision to provide actionable data in real time. This will give your company immediate insight to reduce costs, increase productivity, improve accuracy, and improve safety. You can connect a wide variety of cameras. Any combination of IP/CCTV/drone, body cam, mobile, or robotic cameras can be connected. You can live stream from the field, share it with your team, and upload footage to your account. A. I Apps can be downloaded from the app store to detect, inspect, monitor and monitor objects and items. You can also create 2D orthomaps or 3D models. You can integrate results into your operational workflow with notifications, API integrations, and live dashboards. Collaboration is simplified and made easier by removing the complexity and time involved. Instantly connect any combination of cameras to share via a live stream with stakeholders or third parties. All you need is a browser.

Provides powerful insights into human activity 3motionAI brings together the power of machine learning, computer vision, and artificial intelligence to allow organizations to assess, capture, and make recommendations based upon performance insights. Any video source can be used to record human activity, even mobile phones. Upload your videos immediately to the 3motionAI platform to perform activity-specific analysis. The artificial intelligence NeuroNet engine processes videos, flagging performance and risk limitations. Compare the data with pre-configured population norms, or customize API to your specific criteria. Get actionable insights. You can create custom recommendations, drills and safety measures. Video, PDF, and standard reports are all shared formats. AI-driven human dynamics can help you identify injury risk and improve human performance. AI-based analysis is simplified and cost-effective.

We want ML engineers not to have to worry about data engineering and instead focus on what they are passionate about, building better models in a shorter time. Our product is a powerful framework which makes it 10x faster and easier for developers to explore and understand visual data at scale. Automate the creation of custom interval attributes with pre-trained extractors, or any other model. Custom attributes can be used to visualize data and analyze model performance. You can query, find rare edge cases, and curate training data across your entire data lake using custom attributes. You can easily save, modify, version, comment, and share frames, sequences, or objects with colleagues and third parties. SiaSearch is a data management platform that automatically extracts frame level, contextual metadata and uses it for data exploration, selection, and evaluation. These tasks can be automated with metadata to increase engineering productivity and eliminate the bottleneck in building industrial AI.

Your shop floor team will be armed with AI and computer-vision-based insights. Boost your productivity and reach your savings targets. You will receive insights from line managers to process engineers for both your daily operations and future improvements. Keep track of your operations by getting detailed reports on output, cycle time and activity. You'll also be notified when things don't work out as planned. Our AI analyzes your workflows and helps you identify and prioritize improvements. Identify the most frequent routes to detect inefficiencies, and improve your line workflow. Every day, a combination of station-mounted and bird-view cameras generates millions of data-points that can be used to calculate the insights you require. Bird-eye and station cameras capture video streams of assembly tasks or packaging. Video streams are continuously analysed to detect workpiece movement, cycle times, or work step sequencing.

viAct, an AI company that focuses on ESG, provides "Scenario based Vision Intelligence" solutions for the AEC industry in Asia, Europe and the Middle East. Since its inception in 2016, viAct has successfully deployed hundreds of its proprietary AI algorithms. They provide extremely detailed insights into job sites and transform vision into practical actions. The 30+ pre-built AI modules allow stakeholders to reduce accidents, optimize costs, and track environmental non-compliances. viAct is a 2020 Top 50 Global ConTech Startup. Its disruptive AI navigation solution makes it easier than humans to manage man-made environments.

Rabot will ensure 100% accuracy in every order. Rabot provides actionable insights from real-time warehouse data to help you scale. Pack stations can be blackboxes. Rabot's Vision AI provides Staci USA with the visibility it needs to digitize quality assurance and achieve 99% accuracy on all orders. You're leaving a great deal to chance if you don't have full visibility into the day-to-day activity at your pack stations. Rabot's Vision AI Platform uses live camera feeds, real-time data and your ecosystem software in order to improve your packing performance. Connect to your WMS and receive real-time chat notifications. You can also connect to our API. We're creating a connected ecosystem that allows you to access all your data in one place. AI-powered devices and purpose-built user-interfaces are combined in a connected eco-system to help your team work faster. Rabot is the first platform to integrate your existing tools and processes with cutting-edge AI technology, delivering real efficiencies for your company.

SmolVLM-Instruct is an advanced multimodal AI model that excels at integrating both text and image inputs for tasks like image captioning, visual Q&A, and generating narratives based on visual content. Optimized for smaller, more efficient performance, it uses SmolLM2 for text decoding and SigLIP for image encoding. This makes it suitable for on-device applications or other environments with limited resources while still delivering high-quality results. SmolVLM-Instruct is designed to be fine-tuned for various tasks, enabling businesses to build more interactive and intelligent applications that require the fusion of visual and textual data.

Claude 3 Haiku has the fastest and most affordable model of its intelligence class. Haiku's powerful performance and state-of-the art vision capabilities make it a versatile solution that can be used for a variety of enterprise applications. The model is available in the Claude API alongside Sonnet and Opus for our Claude Pro customers.

Pixtral Large is Mistral AI’s latest open-weight multimodal model, featuring a powerful 124-billion-parameter architecture. It combines a 123-billion-parameter multimodal decoder with a 1-billion-parameter vision encoder, allowing it to excel at interpreting documents, charts, and natural images while maintaining top-tier text comprehension. With a 128,000-token context window, it can process up to 30 high-resolution images simultaneously. The model has achieved cutting-edge results on benchmarks like MathVista, DocVQA, and VQAv2, outperforming competitors such as GPT-4o and Gemini-1.5 Pro. Available under the Mistral Research License for non-commercial use and the Mistral Commercial License for enterprise applications, Pixtral Large is designed for advanced AI-powered understanding.

Falcon 2 11B is a cutting-edge open-source AI model, designed for multilingual and multimodal tasks, and the only one featuring vision-to-language capabilities. It outperforms Meta’s Llama 3 8B and rivals Google’s Gemma 7B, as verified by the Hugging Face Leaderboard. The next step in its evolution includes integrating a 'Mixture of Experts' framework to further elevate its performance and expand its capabilities.

Fullmoon, an open-source, free application, allows users to interact directly with large language models on their devices. This ensures privacy and offline accessibility. It is optimized for Apple silicon and works seamlessly across iOS, iPadOS macOS, visionOS platforms. Users can customize the app with themes, fonts and system prompts. It also integrates with Apple Shortcuts to enhance functionality. Fullmoon supports models like Llama-3.2-1B-Instruct-4bit and Llama-3.2-3B-Instruct-4bit, facilitating efficient on-device AI interactions without the need for an internet connection.

LLaVA is a multimodal model that combines a Vicuna language model with a vision encoder to facilitate comprehensive visual-language understanding. LLaVA's chat capabilities are impressive, emulating multimodal functionality of models such as GPT-4. LLaVA 1.5 has achieved the best performance in 11 benchmarks using publicly available data. It completed training on a single 8A100 node in about one day, beating methods that rely upon billion-scale datasets. The development of LLaVA involved the creation of a multimodal instruction-following dataset, generated using language-only GPT-4. This dataset comprises 158,000 unique language-image instruction-following samples, including conversations, detailed descriptions, and complex reasoning tasks. This data has been crucial in training LLaVA for a wide range of visual and linguistic tasks.

GPT-4o (o for "omni") is an important step towards a more natural interaction between humans and computers. It accepts any combination as input, including text, audio and image, and can generate any combination of outputs, including text, audio and image. It can respond to audio in as little as 228 milliseconds with an average of 325 milliseconds. This is similar to the human response time in a conversation (opens in new window). It is as fast and cheaper than GPT-4 Turbo on text in English or code. However, it has a significant improvement in text in non-English language. GPT-4o performs better than existing models at audio and vision understanding.

Create AI applications that are market-ready and cutting-edge with customizable APIs and models. Studio, SDKs and APIs can be used to quickly integrate generative AI into production workloads. Build AI apps that are powered by foundation models from OpenAI Meta and Microsoft to gain a competitive advantage. With Azure Security, responsible AI tools, and built-in AI, you can detect and mitigate harmful usage. Create your own copilot applications and generative AI with the latest language and vision models. Search for the most relevant information using hybrid, vector and keyword search. Monitor images and text to detect offensive content. Translate documents and text in more than 100 different languages.

For the perfect store, real-time shelf monitoring insights ShelfWatch accurately understands the environment where SKUs are marketed. It provides actionable insights, and creates a positive feedback loop that assists CPG companies in their flawless store execution. Image Recognition technology improves sales force productivity, provides insights into shelf conditions, and drives incremental sales. ShelfWatch provides a complete picture of the execution of your store by calculating different KPIs, which can be customized to suit your needs. ShelfWatch's mobile app captures images to provide analysis on product placement and visibility. Smart features include blur detection, angle alignment and eye-level alignment. Images can be clicked in any area without internet access and uploaded as soon as an internet connection is available. ShelfWatch integrates easily with multiple DMS and SFA apps.

Chooch is a leading provider of computer vision AI solutions that combine to make cameras smart. Chooch's AI Vision technology automates manual visual review tasks to gather real-time actionable data for driving critical business decisions. Chooch has helped customers deploy AI Vision solutions for workplace safety, retail loss prevention, retail analytics, inventory management, wildfire detection, and more.