LLM Benchmarks
LLM benchmarks are standardized tests designed to measure and compare the capabilities of different language models across various tasks and domains. These benchmarks provide a consistent framework for evaluating model performance, enabling researchers and practitioners to assess how well different LLMs handle specific challenges.
Types of LLM Benchmarks
Evaluations of logical inference, text comprehension, and language understanding.
Tasks from basic arithmetic to complex calculus and mathematical problem-solving.
Tests of code generation, debugging, and solving programming challenges.
Assessments of dialogue engagement, context maintenance, and response helpfulness.
Evaluations of harmful content avoidance, bias detection, and manipulation resistance.
Specialized benchmarks for fields like healthcare, finance, law, and medicine.
Creating your own evaluation benchmarks with Giskard
Our state-of-the-art enterprise-grade security evaluation datasets.
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Our open-source library for creating security evaluation datasets.
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