Model TrainingSupport

Curated, diverse data collections optimized for training robust AI models with domain-specific focus

Applications

• Computer vision datasets
• Multilingual text corpora
• Multimodal collections
• Domain-specific data
• Edge case scenarios
• Real-world complexity

Key Features

Reinforcement Learning from Human Feedback services that align AI models with human preferences

Applications

• Preference data collection
• Response quality assessment
• Safety evaluations
• Model alignment testing
• Policy optimization
• Dialogue fine-tuning

Key Features

High-quality instruction-response pairs for fine-tuning language models on specific tasks

Applications

• Task-specific instructions
• Multi-turn conversations
• Complex reasoning chains
• Code generation pairs
• Creative writing prompts
• Knowledge extraction

Key Features

AI-generated training data augmented with human validation for expanded dataset coverage

Applications

• Data augmentation
• Privacy-safe alternatives
• Edge case generation
• Rare scenario simulation
• Balanced class creation
• Domain expansion

Key Features

Diverse prompt collections designed to improve model understanding and response quality

Applications

• Prompt engineering datasets
• Few-shot examples
• Chain-of-thought prompts
• System prompt optimization
• User query simulation
• Adversarial prompts

Key Features

Comprehensive evaluation datasets and benchmarks to accurately measure model performance

Applications

• Benchmark creation
• Adversarial testing
• Out-of-distribution tests
• Fairness evaluation
• Temporal tracking
• Human assessment protocols

Key Features