Question: Can you suggest a tool that generates high-quality training data for large language models?

For creating high-quality training data for large language models, SuperAnnotate is a full-stack end-to-end platform for data integration from local and cloud storage, customizable interfaces and a global marketplace of 400+ vetted annotation teams. With features like dataset creation, model evaluation and deployment across multiple platforms, SuperAnnotate protects data security and privacy while accelerating AI development.

Another top option is Appen, which offers high-quality, diverse data for foundation models and enterprise-ready AI applications. It includes integration with LLM APIs, annotation, collaboration, testing and analytics, and supports a wide range of data types. Appen is used by top brands and offers flexible deployment options, making it a scalable and reliable option for data collection and fine-tuning.

Label Studio is another strong option, a flexible data labeling tool that works with many types of data. It includes customizable layouts, ML-assisted labeling and integration with cloud storage systems. Label Studio is open-source and free, though an enterprise version offers more features, making it a good option for data scientists and companies large and small.

Clickworker taps into a global crowd of more than 6 million freelancers to create, validate and label high-quality AI training data in many subjects and demographics. The platform offers self-service and managed service options, supports many data formats, and prioritizes quality and reliability with ISO 27001 certification and GDPR compliance, for a powerful option for AI training data generation.