Scale RapidThe fastest way to production-quality labels.
Scale StudioLabeling infrastructure for your workforce.
Scale 3D Sensor FusionAdvanced annotations for LiDAR + RADAR data.
Scale ImageComprehensive annotations for images.
Scale VideoScalable annotations for video data.
Scale TextSophisticated annotations for text-based data.
Scale AudioAudio Annotation and Speech Annotation for NLP.
Scale MappingThe flexible solution to develop your own maps.
Scale CatalogCreate, enrich, and enhance eCommerce data.
Scale Enterprise AIModels to support your business use cases.
Scale NucleusThe mission control for your data
Scale LaunchShip and track your models in production
Scale Content UnderstandingManage content for better user experiences
Scale InstantMLNext-day machine learning models, without ML expertise
Scale SpellbookThe platform for large language model apps
Scale SyntheticGenerate synthetic data
Retail & eCommerce
Content & Language
Smart Port Lab
AI Readiness Report 2022
RLHF for Large Language Models
Powering the next generation of language models, today.
Trusted by the world’s most ambitious AI teams.Meet our customers →
Generate compelling and engaging content.
Image caption generation
Understand queries and return superior responses.
Accelerate and enhance software development.
Why is ChatGPT so good?
OpenAI applied reinforcement learning with human feedback (RLHF) to enhance ChatGPT. Understand the role RLHF plays in enhancing large language models and how to implement it.Read more →
How much better is OpenAI’s newest GPT-3 model?
We evaluate davinci-003 across a range of classification, summarization, and generation tasks. We show where davinci-003 significantly outperforms the prior version and where it still has room to improve.Read more →
Meet Claude: Anthropic’s rival to Chat GPT
A new LLM from Anthropic called Claude is competitive with ChatGPT and offers great promise. We evaluate both models head to head and give our thoughts on how they compare.Read more →
How to label 1M data points / week
How do you scalably maintain the quality of labels, without having annotators check each other’s work? Take a deep dive into how we solved this problem while working with OpenAI on fine tuning their GPT-2 model.Read more →
1. Get InstructGPT-Style Data
Easily launch InstructGPT-style generation projects with our preset projects. Our expert workforce that specializes in text generation will return data in hours.
2. Compare Model Outputs
Leverage Rapid’s interface to have our specialized workforce rank, verify, and/or interact with model outputs.
Generate best-in-class quality data with skilled annotators in domains including linguistics, programming, mathematics and many more.
Instant Feedback Loop
Get the data you need with customized training workflows and a fast feedback loop with minimal overhead
Quickly ramp up to production volumes without sacrificing quality. Our global workforce, combined with cutting-edge technology like advanced linting, ensures we deliver on complex labeling needs.