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GLOSSARY · R

What Is a Reasoning Model?

DEFINITION

Reasoning models are AI models that have been designed or trained to deal with multi-step, logical, planning and complex problems. They use a variety of different techniques such as specific training methods or extra calculations during inference to improve their performance on complex tasks. While reasoning models can be very useful when dealing with mathematical problems, coding, structured analysis and complex decision-making, they are not always accurate so it's important to ensure what they produce is correct for important tasks.

Importance of Reasoning Models

  • Deal with complex problems with multiple conditions.
  • Helps with logical analysis.
  • Helps with planning.
  • Can improve performance on specific coding and mathematical problems.
  • Helps analyze complex data.

Use Cases of Reasoning Models

  • Solving complex mathematical problems.
  • Analyzing complex bugs within software and creating coding solutions.
  • Help with research that requires compiling multiple pieces of information.
  • Help plan complex workflows within an enterprise.
  • Evaluate scenarios within a business with multiple constraints.

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