Dataset Decomposition: Faster LLM Training with Variable Sequence Length Curriculum
Large Language Models (LLM) are commonly trained on data sets consisting of sequences of fixed-length tokens. These data sets are ...
Tag: Dataset
This Machine Learning Paper Transforms the Efficiency of Embedded AI: New Scaling Laws to Optimize Model and Dataset Ratios in World Modeling and Behavior Cloning Tasks
Embodied artificial intelligence (ai) involves the creation of agents that operate within physical or simulated environments, autonomously executing tasks based ...
CHESTNUT: A QoS Dataset for Mobile Edge Environments
Quality of Service (QoS) is a very important metric used to evaluate the performance of network services in mobile edge ...
Oversampling and Undersampling Explained: A Visual Guide Using a 2D Mini Dataset | by Samy Baladram | October 2024
DATA PREPROCESSINGArtificially generating and deleting data for the common goodCompiling a data set where each class has exactly the same ...
Meta AI Releases Meta Open Materials 2024 (OMat24) Inorganic Materials Models and Dataset
The discovery of new materials is crucial to addressing pressing global challenges, such as climate change and advances in next-generation ...
Create a multimodal chatbot tailored to your unique dataset with Amazon Bedrock FMs
With recent advances in large language models (LLMs), a wide array of businesses are building new chatbot applications, either to ...
Microsoft Researchers Introduce RadEdit: Biomedical Vision Models for Stress Testing Using Diffusion Image Editing to Remove Dataset Bias
Biomedical vision models are increasingly used in clinical settings, but a major challenge is their inability to generalize effectively due ...
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 ...
Researchers at John Hopkins and Samaya AI propose a Promptriever: a zero-shot retriever trained from a new instruction-based recovery dataset
Information retrieval (IR) models face significant challenges in delivering transparent and intuitive search experiences. Current methodologies rely primarily on a ...
LightOn Releases FC-AMF-OCR Dataset: A Dataset of 9.3 Million Financial Document Images with Full OCR Annotations
The release of the FC-AMF-OCR dataset The release of LightOn marks a major milestone in optical character recognition (OCR) and ...
Recommended.
