Collect, curate, and annotate data. Train models and evaluate. Repeat.

• **Generation: **After initial pre-training, create complex prompt-response pairs from scratch.
• **RLHF: **Apply human preferences to model outputs.
• **Red Teaming: **Use prompt injection techniques to find vulnerabilities.
• **Evaluation: **Evaluate your model against a set of complex and diverse prompts to find weak points.

For AI teams, Scale Data Engine improves your models by improving your data.

• RLHF - Powering the next generation of Generative AI - Scale Generative AI Data Engine powers the most advanced LLMs and generative models in the world through world-class RLHF, data generation, model evaluation, safety, and alignment.
• Data Labeling - The best quality data to fuel the best performing models - Scale has pioneered in the data labeling industry by combining AI-based techniques with human-in-the-loop, delivering labeled data at unprecedented quality, scalability, and efficiency.
• Data Curation - Unearth the most valuable data by intelligently managing your dataset - Scale’s suite of dataset management, testing, model evaluation, and model comparison tools enable you to “label what matters.” Maximize the value of your labeling budget by identifying the highest value data to label, even without ground truth labels.

Features

• **Quality: **Scale can provide the core tenet of any dataset with high-quality labels from domain experts.
• **Cost Effective: **Easily find, categorize, and fix model failures with Scale’s Data Engine. Then, optimize labeling spend with high-value curated data.
• **Scalability: **Scale's data engine can support any ML project from lower-volume experiments to high-volume production projects. Scale up, or down, as needed.
• **Diversity: **Scale delivers the greatest variety and diversity of data to help deliver the greatest value to your model performance.