Adaption Integrations

Hugging Face is a leading platform for AI and machine learning, offering a vast hub for models, datasets, and tools for natural language processing (NLP) and beyond. The platform supports a wide range of applications, from text, image, and audio to 3D data analysis. Hugging Face fosters collaboration among researchers, developers, and companies by providing open-source tools like Transformers, Diffusers, and Tokenizers. It enables users to build, share, and access pre-trained models, accelerating AI development for a variety of industries.

Kaggle is a global AI and machine learning platform that brings together developers, researchers, organizations, and data science enthusiasts to build, evaluate, and improve artificial intelligence technologies. The platform offers access to AI competitions, benchmarks, hackathons, datasets, notebooks, pre-trained models, and educational courses that help users develop real-world machine learning skills. Kaggle enables organizations and researchers to host competitions, crowdsource evaluations, publish benchmarks, and discover top AI talent through its large global community of over 31 million users. Users can access free GPU and TPU-powered notebook environments, collaborate on public datasets, explore pre-trained AI models, and participate in large-scale AI research initiatives. The platform also provides learning resources including hands-on courses, solution write-ups, and reproducible notebooks that support both beginners and advanced machine learning practitioners.

Together AI provides an AI-native cloud platform built to accelerate training, fine-tuning, and inference on high-performance GPU clusters. Engineered for massive scale, the platform supports workloads that process trillions of tokens without performance drops. Together AI delivers industry-leading cost efficiency by optimizing hardware, scheduling, and inference techniques, lowering total cost of ownership for demanding AI workloads. With deep research expertise, the company brings cutting-edge models, hardware, and runtime innovations—like ATLAS runtime-learning accelerators—directly into production environments. Its full-stack ecosystem includes a model library, inference APIs, fine-tuning capabilities, pre-training support, and instant GPU clusters. Designed for AI-native teams, Together AI helps organizations build and deploy advanced applications faster and more affordably.