Scale AI helps AI technology-based development companies accelerate the development of AI products. Scale AI is responsible for providing high-quality training data for different kinds of AI applications, such as generative AI, self-driving cars, mapping, AR/VR, robotics. Scale AI provides two main product lines: the Scale Data Engine and the Scale Generative AI platform. The scale data engine improves the quality and efficiency of AI applications. It has features like image annotation, semantic segmentation, and LIDAR/RADAR annotation. The scale data engine provides tools for collecting, labeling, managing, and evaluating data for various AI projects. The Scale Generative AI platform helps organizations customize and use large language models (LLMs).
Need High-Quality Data for Your AI Project? How Scale AI Can Help
What is Scale AI?
Scale AI is an AI tool suite for dataset management, testing, model evaluation, and model comparison tools. Scale AI accelerates AI application development with high-quality data. Scale AI platform allows companies to integrate their data with leading AI models. Scale AI also provides data labeling services to help companies improve the quality of their data.
What does Scale AI do?
Scale AI develops artificial intelligence (AI) tools for enterprises. Scale’s technology helps businesses to integrate their own data with pre-built models. Scale AI collects raw data, and the Scale Data Engine produces high-quality data to train your AI models.
Scale AI's SEAL Leaderboards: Ranking the Top AI Models
SEAL Leaderboards by Scale AI is a system that ranks large language models (LLMs) across various domains. It ensures fair ranking across different areas. Key features include:
- Unbiased Evaluation: Scale AI utilizes private evaluation datasets to prevent cheating and ensure unbiased and reliable results.
- Expert-Driven Evaluations: All assessments are conducted by experts who evaluate models using domain-specific methodologies.
- Ranking in Multiple Categories: Scale AI leaderboards display rankings in coding, math, instruction following, and even specific languages like Spanish.
Furthermore, Scale AI updates leaderboards with new datasets and models periodically. Click here to learn more about Scale AI's evaluation methodology.
What are the key features of Scale AI?
1) Reinforcement Learning with Human Feedback (RLHF)
Scale Generative AI Data Engine powers LLMs and generative models through RLHF data generation, model assessment, safety protocols, and alignment techniques.
Image Credit : Scale Website (Screenshot)
2) Data Labelling
Scale services cover a range of use cases, from Named Entity Recognition (NER) to audio transcription, video polygon annotation, image annotation, and 3D point cloud annotation. With Scale's turnkey solution, receive high-quality labels within hours from the taskers located across various time zones.
Image Credit : Scale Website (Screenshot)
3) Data Curation
Scale offers a comprehensive set of tools for dataset management, testing, model evaluation, and model comparison, which helps to prioritize labeling tasks efficiently.
Image Credit : Scale Website (Screenshot)
Who does Scale AI collaborate with?
Scale AI pricing
- Scale Image - 2 ¢ per image , 6 ¢ per annotation.
- Scale Video - 13 ¢ per video frame, 3 ¢ per annotation.
- Scale Text - 5 ¢ per task, 3 ¢ per annotationm.
- Scale Document AI - 2 ¢ per task, 7 ¢ per annotation.