Products

Smolagents is an open-source Python library developed by Hugging Face, designed to simplify the creation and execution of AI agents with minimal code. With a core logic comprising approximately 1,000 lines, smolagents emphasizes simplicity and efficiency, enabling developers to build powerful agents swiftly. The library is model-agnostic, allowing integration with various large language models (LLMs), including those from Hugging Face, OpenAI, Anthropic, and others via LiteLLM integration. It al

Accelerate your ML roadmap with guidance from our award-winning ML experts. Success in machine learning depends on finding the best architecture for a use case, fine-tuning models, and deploying them to production. All these require the right combination of experience and skills. Our Expert Acceleration Program provides the necessary technical expertise to implement the state-of-the-art, make better decisions, and go to market faster.

Zilliz Cloud is a cloud-native vector database that stores, indexes, and searches billions of embedding vectors to power enterprise-grade similarity search, recommender systems, anomaly detection, and more. ​ Zilliz Cloud, built on the popular open-source vector database Milvus, allows for easy integration with vectorizers from OpenAI, Cohere, HuggingFace, and other popular models. Purpose-built to solve the challenge of managing billions of embeddings, Zilliz Cloud makes it easy to build applic

Azure Machine Learning is an enterprise-grade service that facilitates the end-to-end machine learning lifecycle, enabling data scientists and developers to build, train, and deploy models efficiently. Key Features and Functionality: - Data Preparation: Quickly iterate data preparation on Apache Spark clusters within Azure Machine Learning, interoperable with Microsoft Fabric. - Feature Store: Increase agility in shipping your models by making features discoverable and reusable across workspa

The Phi-3 Mini-4K-Instruct is a lightweight, state-of-the-art language model developed by Microsoft, featuring 3.8 billion parameters. It is part of the Phi-3 model family and is designed to support a context length of 4,000 tokens. Trained on a combination of synthetic data and filtered publicly available websites, the model emphasizes high-quality, reasoning-dense content. Post-training enhancements, including supervised fine-tuning and direct preference optimization, have been applied to impr

BLOOM-1b1 is a multilingual language model developed by the BigScience Workshop, designed to generate human-like text across 48 languages. As a transformer-based model, it utilizes a decoder-only architecture with 24 layers and 16 attention heads, totaling approximately 1.06 billion parameters. This configuration enables BLOOM-1b1 to perform a wide range of natural language processing tasks, including text generation, translation, and summarization. Key Features and Functionality: - Mult

NLP Cloud serves high performance NLP models from Hugging Face and spaCy. You can perform NER, sentiment-analysis, classification, summarization, question answering, and POS tagging. It's ready for production, and served through a REST API. You can also deploy your own spaCy models too.

Unleash cinematic AI video generation locally with Sulphur 2—the unrestricted, open-source 9B parameter model built for ultimate creative freedom.

Kubeflow is an open-source platform designed to facilitate the deployment, orchestration, and management of machine learning (ML) workflows on Kubernetes. It provides a comprehensive suite of tools that cover the entire ML lifecycle, enabling data scientists and engineers to develop, train, and deploy models efficiently in scalable and portable environments. Key Features and Functionality: - Kubeflow Notebooks: Offers web-based development environments, such as Jupyter Notebooks, running insid

Segments.ai is a fast and accurate data labeling platform for multi-sensor data annotation. You can obtain segmentation labels, vector labels, and more via the intuitive labeling interfaces for images, videos, and 3D point clouds (lidar and RGBD). Image Segmentation - Semantic segmentation - Instance segmentation - Panoptic segmentation - ML-powered labeling tools: DeepPixels and Autosegment Image Vector Labeling - Bounding boxes - Polygons - Polylines - Keypoints Point Cloud Segmentation - S

The BLOOM model has been proposed with its various versions through the BigScience Workshop. BigScience is inspired by other open science initiatives where researchers have pooled their time and resources to collectively achieve a higher impact. The architecture of BLOOM is essentially similar to GPT3 (auto-regressive model for next token prediction), but has been trained on 46 different languages and 13 programming languages. Several smaller versions of the models have been trained on the same

MPT-7B is a decoder-style transformer pretrained from scratch on 1T tokens of English text and code. This model was trained by MosaicML. MPT-7B is part of the family of MosaicPretrainedTransformer (MPT) models, which use a modified transformer architecture optimized for efficient training and inference. These architectural changes include performance-optimized layer implementations and the elimination of context length limits by replacing positional embeddings with Attention with Linear Biases (

Tanka is the world’s first messenger powered by AI long-term memory, bringing team collaboration and AI knowledge assistant together. It serves as a unified platform for team collaboration, offering essential features like chat, calendar, video conferencing, memos, and workflows, all in one place. Tanka integrates effortlessly with popular platforms such as WhatsApp, Slack, Outlook, and Gmail, transforming into a universal communication hub. At its core is Tanka’s AI assistant, equipped with

vLLM is an advanced inference and serving engine designed to optimize the deployment of large language models (LLMs). It offers high throughput and efficient memory management, making it suitable for both research and production environments. By integrating seamlessly with popular models from Hugging Face, vLLM simplifies the process of serving LLMs, ensuring scalability and performance. Key Features and Functionality: - PagedAttention Mechanism: Efficiently manages attention key and value mem

Image Alt Text Pro is a WordPress plugin that automatically generates SEO-optimized alt text for images using AI. It supports OpenAI, Google Gemini, Claude AI, and HuggingFace — letting you choose your preferred AI provider. Key features: bulk alt text generation for your entire media library, WooCommerce product image support, decorative image management (aria-hidden), SEO scoring for existing alt text, custom writing styles, and focus keyword targeting. Built for WordPress site owners, ecomm

M47 AI is a powerful AI Data Training platform for Natural Language Processing projects. It is designed to simplify, speed up and consolidate the dataset lifecycle for Machine Learning and NLP based applications. Create the Training Data for your NLP model in the cloud and easily internationalize your ML language model for multiple countries and use cases. Use the cloud platform with your own team or use our international team of NLP engineers and professional annotators covering more than 40 l

Judgify is a cloud-based awards management platform designed to streamline the organization of awards, contests, and competitions online. It offers a comprehensive suite of tools that facilitate every aspect of the awards process, from planning and submissions to judging and reporting. With its user-friendly interface and customizable features, Judgify caters to a diverse range of events, ensuring a seamless and efficient experience for organizers, judges, and participants alike. Key Features

The Microsoft Computer Vision API is a cloud-based service that provides advanced algorithms to process and analyze visual data from images and videos. It enables developers to extract rich information, facilitating the development of applications that can interpret and understand visual content. Key Features and Functionality: - Image Analysis: Detects and classifies objects, scenes, and activities within images, offering detailed content understanding. - Optical Character Recognition (OCR):

Adobe Photoshop Elements is a user-friendly photo editing software designed for photography enthusiasts and hobbyists. It offers a range of tools powered by Adobe Sensei AI technology, enabling users to perform quick fixes and create advanced photo projects with ease. The software provides Quick, Guided, and Advanced editing modes, catering to various skill levels and allowing users to enhance their photos effortlessly. Key Features and Functionality: - AI-Powered Editing: Utilize Adobe Sensei

AiSensy is a comprehensive WhatsApp engagement platform built on the official WhatsApp Business API, designed to enhance business communication through marketing automation, customer support, and e-commerce integration. It enables businesses to broadcast messages, automate notifications, and provide live chat support, all within WhatsApp's familiar interface. Key Features and Functionality: - WhatsApp Broadcasting & Automation: Send unlimited broadcast messages to segmented audiences with