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Insights on AI training data, robotics, evaluation, and building better AI.
EngineeringApril 15, 20263 min read
RLHF vs SFT: Choosing the Right Post-Training Approach for Your AI Model
A practical guide to understanding when to use Reinforcement Learning from Human Feedback versus Supervised Fine-Tuning, with real-world examples and decision frameworks.
Read moreInsightsFeb 20
AI Safety Starts with Training Data: A Practical Guide
How training data quality impacts AI safety outcomes.
5 min read
InsightsFeb 15
What AI Labs Actually Look For in Data Partners
Inside the evaluation criteria frontier AI teams use when choosing data providers.
5 min read
15 articles