Is Concise

result = evaluator.evaluate(
    eval_templates="is_concise",
    inputs={
        "output": "Honey doesn't spoil because its low moisture and high acidity prevent the growth of bacteria and other microbes."
    },
    model_name="turing_flash"
)

print(result.eval_results[0].output)
print(result.eval_results[0].reason)

import { Evaluator, Templates } from "@future-agi/ai-evaluation";

const evaluator = new Evaluator();

const result = await evaluator.evaluate(
  "is_concise",
  {
    output: "Honey doesn't spoil because its low moisture and high acidity prevent the growth of bacteria and other microbes."
  },
  {
    modelName: "turing_flash",
  }
);

console.log(result);

​

Troubleshooting

• Remember that conciseness depends on context - what’s concise for a complex topic might still be relatively lengthy
• This evaluation works best on complete responses rather than fragments
• Very short responses may be marked as concise but might fail other evaluations like completeness
• Consider the balance between conciseness and adequate information - extremely brief responses might miss important details

​

Related Evaluations

• completeness: Ensures that despite being concise, the response addresses all aspects of a query
• is-helpful: Evaluates if the response is actually useful despite its brevity
• instruction-adherence: Checks if the response follows instructions, which might include requirements for detail
• length-evals: Provides quantitative metrics about text length