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 ...
Tag: evaluation
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 ...
This AI paper presents the long-form RobustQA dataset and RAG-QA Arena for cross-domain evaluation of retrieval-augmented generation systems.
Question answering (QA) is a crucial area in natural language processing (NLP), which focuses on developing systems that can accurately ...
Meta AI releases CyberSecEval 3: a comprehensive evaluation framework for LLM security used in model development
The cybersecurity risks, benefits, and capabilities of ai systems are crucial to ai security and policy. As ai becomes increasingly ...
Beyond Kleinberg's Grouping Impossibility Theorem: My Study Note on a Pragmatic Grouping Evaluation Framework | by Michio Suginoo | June 2024
Now, let's focus on internal validation and external validation. Below I will list some metrics of my choice with hyperlinks ...
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