Tessel

質問と回答

• Causal Tracing
  Link model outputs to understandable features within the model.
• Developer Tools
  Tools for developers to understand and fix their AI models better.
• Actionable Fixes
  Get quick solutions for performance issues with just one line of code from our SDK.
• Faster Debugging
  Reduce debugging time from weeks to hours.
• Improving Thesis
  Create a growing understanding of how your model behaves over time.
• Rigorous Science
  Use strict scientific methods for building models, just like in software development.
• AI Internals Diagnosis
  Look inside AI models to find and fix problems, not just rely on surface-level checks.
• Holistic Understanding
  Learn from experiments to understand model behavior, not just to avoid failures.
• Model Behavior Insights
  Gather knowledge on how and why your model works through experiments.
• Catch Correlations Early
  Identify misleading connections before they affect your model's performance.
• Internal Model Evolution
  See how your model changes over time to improve it effectively.
• Mechanistic Interpretability
  Understand the inner workings of models for better and safer AI behavior.
• Hypothesis-Driven Experimentation
  Help scientists and engineers test ideas and learn from their experiments.