Holistic Evaluation of Vision Language Models (VHELM): Extending the HELM Framework to VLMs
One of the most pressing challenges in evaluating vision-language models (VLMs) is related to the lack of comprehensive benchmarks that ...
Tag: evaluation
Compress and Compare: Interactive Evaluation of Efficiency and Behavior in Machine Learning Model Compression Experiments
*Equal taxpayers To deploy machine learning models on the device, professionals use compression algorithms to shrink and speed up the ...
Google Releases FRAMES: A Comprehensive Evaluation Dataset Designed to Test Retrieval Augmented Generation (RAG) Applications for Factuality, Retrieval Accuracy, and Reasoning
Retrieval augmented generation (RAG) has been a transformative approach in natural language processing, combining retrieval mechanisms with generative models to ...
Top open source large language model (LLM) evaluation repositories
Ensuring the quality and stability of large language models (LLMs) is crucial in the ever-changing LLM landscape. As the use ...
SarcasmBench: A comprehensive evaluation framework that reveals the challenges and performance gaps of large language models for understanding subtle sarcastic expressions
Detecting sarcasm is a critical challenge in natural language processing (NLP) due to the nuanced and often contradictory nature of ...
Accuracy evaluation framework for Amazon Q Business
Generative artificial intelligence (ai), particularly Retrieval Augmented Generation (RAG) solutions, are rapidly demonstrating their vast potential to revolutionize enterprise operations. ...
RAGLAB: A comprehensive AI framework for transparent and modular evaluation of augmented retrieval generation algorithms in natural language processing research
Recovery Augmented Generation (RAG) has faced significant challenges in its development, including a lack of comprehensive comparisons between algorithms and ...
Productionizing a RAG App. Adding evaluation, automated data… | by Ed Izaguirre | Aug, 2024
Adding evaluation, automated data pulling, and other improvements.From Film Search to Rosebud . Image from Unsplash.Table of ContentsIntroductionOffline EvaluationOnline EvaluationAutomated ...
tinyBenchmarks: Revolutionizes LLM evaluation with curated sets of 100 examples, reducing costs by over 98% while maintaining high accuracy
Large language models (LLMs) have demonstrated remarkable capabilities in natural language processing, performing tasks such as translation, summarization, and question ...
The impact of questionable research practices on the evaluation of machine learning (ML) models
Evaluating model performance is essential in the fields of artificial intelligence and machine learning, which are advancing considerably, especially with ...
