AI Solutions

InfiBench

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a benchmark designed to evaluate large language models (LLMs) specifically in their ability to answer real-world coding-related questions.

CompMix

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a benchmark evaluating QA methods that operate over a mixture of heterogeneous input sources (KB, text, tables, infoboxes).

MathEval

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a comprehensive benchmarking platform designed to evaluate large models' mathematical abilities across 20 fields and nearly 30,000 math problems.

CompassRank

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CompassRank is dedicated to exploring the most advanced language and visual models, offering a comprehensive, objective, and neutral evaluation reference for the industry and research.

MixEval

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a ground-truth-based dynamic benchmark derived from off-the-shelf benchmark mixtures, which evaluates LLMs with a highly capable model ranking (i.e., 0.96 correlation with Chatbot Arena) while running locally and quickly (6% the time and cost of running MMLU).

M3CoT

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a benchmark that evaluates large language models on a variety of multimodal reasoning tasks, including language, natural and social sciences, physical and social commonsense, temporal reasoning, algebra, and geometry.

LLMEval

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focuses on understanding how these models perform in various scenarios and analyzing results from an interpretability perspective.

FELM

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a meta-benchmark that evaluates how well factuality evaluators assess the outputs of large language models (LLMs).

DreamBench++

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a benchmark for evaluating the performance of large language models (LLMs) in various tasks related to both textual and visual imagination.

MMToM-QA

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a multimodal question-answering benchmark designed to evaluate AI models' cognitive ability to understand human beliefs and goals.

PubMedQA

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a biomedical question-answering benchmark designed for answering research-related questions using PubMed abstracts.

MMedBench

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a benchmark that evaluates large language models' ability to answer medical questions across multiple languages.

TAT-DQA

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a large-scale Document Visual Question Answering (VQA) dataset designed for complex document understanding, particularly in financial reports.

SuperLim

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a Swedish language understanding benchmark that evaluates natural language processing (NLP) models on various tasks such as argumentation analysis, semantic similarity, and textual entailment.

SciBench

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benchmark designed to evaluate large language models (LLMs) on solving complex, college-level scientific problems from domains like chemistry, physics, and mathematics.

SuperBench

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a benchmark platform designed for evaluating large language models (LLMs) on a range of tasks, particularly focusing on their performance in different aspects such as natural language understanding, reasoning, and generalization.

We-Math

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a benchmark that evaluates large multimodal models (LMMs) on their ability to perform human-like mathematical reasoning.

VisualWebArena

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a benchmark designed to assess the performance of multimodal web agents on realistic visually grounded tasks.

WHOOPS!

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a benchmark dataset testing AI's ability to reason about visual commonsense through images that defy normal expectations.

Tune Studio

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Playground for devs to finetune & deploy LLMs

Guardrails.ai

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AI tool from awesome-llm

MPT-7B

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AI tool from awesome-llm

Chainlit

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AI tool from awesome-llm

Arthur Shield

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AI tool from awesome-llm