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Playground Overview

The Cohere Playground allows for the exploration of different endpoints (Generate, Similarity, Choose Best, Embed, & Likelihood), model sizes (shrimp, otter, seal, shark, and orca), and settings (temperature, etc.). Begin experimentation using orca, the most capable model. Once a specific use-case is identified, swap out orca with different baseline models to identify nuances in output and pick the most appropriate model.

New language model users should begin with Generate. Try out different tasks like summarization, Q&A, creative writing, or abstract reasoning to better understand capabilities. After using Generate, begin exploring other endpoints using the same iterative process.

Prompt structure is directly impactful to response quality. Review documentation on prompt engineering to maximize model performance.

Model Comparison#

Models of larger sizes are more capable of complex tasks but models of smaller sizes have faster response times. Here is a rough guideline for which model size to use for various tasks:

  • orca (most capable model): abstract reasoning, Q&A, question classification
  • shark: data extraction, copy generation
  • seal: summarization, content rephrasing, simple Q&A
  • otter: semantic relatedness, creative writing
  • shrimp (fastest model): sentiment analysis, simple classification

The models are listed above from largest to smallest. Larger models can perform all tasks accomplished by smaller models.