LM Evaluation Test Suite By AI21Labs

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LM Evaluation Test Suite by AI21Labs is an open-source evaluation suite for large-scale language models. It allows users to reproduce results from the Jurassic-1 Technical Paper and supports tasks through AI21 Studio and OpenAI's GPT3 APIs.

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At a glance

Pricing

Open Source

Free tier

Yes

API

Yes

Skill level

Technical

About

What is LM Evaluation Test Suite by AI21Labs?

The LM Evaluation Test Suite by AI21Labs is an open-source evaluation framework designed for large-scale language models. It provides the necessary code to run evaluations and reproduce results from the Jurassic-1 Technical Paper. The suite supports running tasks through both the AI21 Studio API and OpenAI's GPT3 API, making it versatile for researchers and developers working with different models. It includes support for zero-shot multiple-choice and document probability datasets, with options for configuring API keys and result storage. The tool is ideal for assessing and comparing language model performance across various tasks and datasets.

Best used for

Ideal for AI researchers and developers who need to rigorously evaluate the performance of large language models, compare different models like AI21's Jurassic-1 and OpenAI's GPT3, and reproduce published research results. Especially valuable for those working with zero-shot multiple-choice and document probability tasks.

Common actions

evaluate language models

compare AI models

reproduce research results

deepfakeopen-sourceworkflowsautomated workflowlow-code/no-codegithub copilotface swappingcollaboration"AI Agents"

Capabilities

Key features

Evaluate language models
Reproduce Jurassic-1 results
AI21 Studio API support
OpenAI GPT3 API support
Multiple-choice datasets
Document probability tasks

Target Audience

ai/ml researchersmachine learning engineersdata scientistsnlp developers

Integrations

Not yet documented

Pricing & Plans

Open Source

Free

FAQs

What language models can be evaluated using this suite?

The LM Evaluation Test Suite supports evaluation of models accessible via the AI21 Studio API (e.g., j1-large, j1-jumbo) and OpenAI's GPT3 API (e.g., curie). Users can specify which models to evaluate when running tasks.

What types of evaluation tasks are supported?

The suite currently supports zero-shot multiple-choice tasks and document probability tasks, as reported in the Jurassic-1 Technical Paper. These include datasets like hellaswag, winogrande, and various document sources from C4 and 'The Pile'.

How do I configure API keys for model access?

To run evaluations through API models, you need to set your API keys as environment variables. Specifically, use 'AI21_STUDIO_API_KEY' for AI21 Studio models and 'OPENAI_API_KEY' for OpenAI's GPT3 models.

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