Description
Holistic Evaluation of Language Models (HELM) is a living benchmark designed to enhance transparency in the evaluation of language models. It provides a reproducible framework that covers a wide range of scenarios and metrics, allowing for thorough assessments of model capabilities. HELM includes leaderboards that evaluate general language model capabilities, multimodal models, and model-graded evaluations. The framework supports evaluations of audio-language models, text-to-image models, and vision-language models, among others.
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HELM emphasizes the importance of standardization and recognizes the incompleteness inherent in model evaluations. It offers a safety benchmark that aggregates popular safety benchmarks across six risk vectors, ensuring that emerging government regulations and company policies are considered. Additionally, HELM provides benchmarks for specific languages, including Chinese and Thai, and evaluates models on standardized examinations in these languages.
The framework also includes assessments of large language models across various tasks, with a focus on Southeast Asian languages. It offers benchmarks for table reasoning, financial-domain evaluations using real financial documents, and medical expert-grounded benchmarks for healthcare needs. HELM evaluates long context capabilities and provides Arabic-language benchmarks for enterprise use cases.
HELM is an invaluable resource for researchers and developers seeking to understand and improve the capabilities of language models. By offering a transparent and comprehensive evaluation framework, HELM facilitates the exploration and study of language models, contributing to advancements in AI technology.
- CategoryMachine Learning & Data Science
- Pricing ModelFree
- DeploymentCloud
- PlatformsWeb
Holistic Evaluation of Language Models's Core Features
Transparency in language model evaluation
Reproducible framework
Multi-metric measurements
Support for multimodality
Model-graded evaluation
Safety benchmark
Language-specific evaluations
Standardized prompts
Getting Started with Holistic Evaluation of Language Models
Explore: Access the HELM website
Evaluate: Use leaderboards for model assessment
Analyze: Study data and metrics
Improve: Apply findings to enhance models
Holistic Evaluation of Language Models's Use Cases
- Model Evaluation
- Safety Benchmarking
- Language-Specific Testing
- Healthcare Applications
- Financial Analysis
