ProfBench

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ProfBench is a Coding & Development tool that provides human-annotated rubrics for evaluating large language models in professional tasks. It allows users to browse benchmark results and filter by model name and category.

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Pricing

Likely Free

Free tier

Yes

API

Skill level

Technical

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About

What is ProfBench?

ProfBench is a platform hosted on Hugging Face, designed to facilitate the evaluation of large language models (LLMs) against human-annotated rubrics in various professional tasks. Users can leverage this tool to browse and analyze benchmark results, filtering data by specific model names and categories. It provides a structured framework for assessing AI performance, particularly for report generation, and is valuable for AI researchers and developers looking to understand and compare LLM capabilities in real-world professional contexts. The platform aims to offer insights into how different LLMs perform on tasks that require human-like understanding and output quality.

Best used for

Ideal for developers and data scientists who need to evaluate the performance of large language models, compare different AI models, and analyze benchmark data. Especially valuable for researchers and practitioners focused on understanding LLM capabilities in professional task contexts.

Common actions

evaluate AI models

compare LLM performance

analyze benchmark data

fun toolsEducationaiContent generationAutomationAI chatbotsTask automation

Capabilities

Key features

Browse benchmark results
Filter by model name
Filter by model category
Display report generation scores

Target Audience

developerdata scientistprofessor

Integrations

Not yet documented

Pricing & Plans

Likely Free

Free

FAQs

What kind of professional tasks does ProfBench evaluate?

ProfBench primarily evaluates large language models on professional tasks that involve report generation. The benchmark results displayed on the platform provide scores related to the quality and accuracy of these generated reports, based on human-annotated rubrics.

How can I filter the benchmark results in ProfBench?

Users can filter the benchmark results by entering specific model name keywords. Additionally, you can choose from various model categories to narrow down the displayed tables and focus on particular types of large language models or task domains.

Who developed ProfBench?

ProfBench is a Hugging Face Space developed by NVIDIA. It is part of their efforts to contribute to the AI community by providing tools and benchmarks for evaluating large language models.

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Subcategories trending in Coding & Development

Open Source & Models Code Assistants DevOps & Infrastructure No-Code / Low-Code Backend & APIs Prompt Engineering

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Also listed in

This tool also appears in

Research & Education › Academic Research Research & Education › Corporate Training Data & Analytics › Data Labeling & Annotation Productivity & Business › Workflow Automation

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