Boost model evaluation with custom metrics in LLaMA-Factory
In this guide, I will walk you through the process of adding a custom evaluation metric to LLaMA-Factory. LLaMA-Factory is ...
Tag: evaluation
How to create a RAG evaluation data set from documents | by Dr. León Eversberg | November 2024
Automatically create domain-specific datasets in any language using LLMOur auto-generated RAG evaluation dataset on Hugging Face Hub (PDF input file ...
M-RewardBench: A multilingual approach to reward model evaluation, analyzing accuracy in high- and low-resource languages with practical results
Large language models (LLMs) have transformed fields from customer service to healthcare by aligning machine output with human values. Reward ...
Salesforce AI Research Introduces New Evaluation Framework for Recovery Augmented Generation (RAG) Systems Based on Subquestion Coverage
Retrieval-augmented generation (RAG) systems combine retrieval and generation processes to address the complexities of answering open-ended, multidimensional questions. By accessing ...
Salesforce AI research proposes Programmatic VLM Evaluation (PROVE): a new benchmarking paradigm to evaluate VLM responses to open queries
Vision-language models (VLM) are increasingly used to generate answers to queries about visual content. Despite their advances, they often suffer ...
Google DeepMind Introduces Omni×R: A Comprehensive Evaluation Framework to Compare the Reasoning Capabilities of Omnimodal Language Models on Text, Audio, Image, and Video Inputs
Omnimodal language models (OLMs) are a rapidly advancing area of ai that enables understanding and reasoning across multiple types of ...
Evaluation of synthetic data. Evaluation of plausibility and usefulness… | by Aymeric Floyrac | October 2024
Evaluation of the plausibility and usefulness of the data we generate from real data.x?source=post_page-----c5833f6b2f15--------------------------------" rel="noopener follow">Synthetic data serves many purposes ...
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 ...
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 ...
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