From Low-Level to High-Level Tasks: Scaling Fine-Tuning with the ANDROIDCONTROL Dataset
Large language models (LLMs) have shown promise in powering autonomous agents that control computer interfaces to accomplish human tasks. However, ...
Tag: Dataset
Gretel AI Releases Largest Open Source Text-to-SQL Dataset to Accelerate Artificial Intelligence AI Model Training
In today’s age, the accuracy of data plays a crucial role in determining the efficiency of artificial intelligence (AI) systems. ...
Amazon AI Introduces DataLore: A Machine Learning Framework that Explains Data Changes between an Initial Dataset and Its Augmented Version to Improve Traceability
Data scientists and engineers frequently collaborate on machine learning ML tasks, making incremental improvements, iteratively refining ML pipelines, and checking ...
Enhancing Underwater Image Segmentation with Deep Learning: A Novel Approach to Dataset Expansion and Preprocessing Techniques
Underwater image processing combined with machine learning offers significant potential for enhancing the capabilities of underwater robots across various marine ...
Co-ML: Collaborative Machine Learning Model Building for Developing Dataset Design Practices
Machine learning (ML) models are shaped by data and building inclusive ML systems requires considering how to design representative datasets. ...
Decoding Human Risky Choices: Unveiling Dataset Bias in Decision-Making Models Using Machine Learning
In understanding choices, there are two main models: normative and descriptive. Normative models explain why people should make certain decisions ...
Meet DeepSeek LLMs: A Series of Open-Source AI Models Trained from Scratch on a Vast Dataset of 2 Trillion Tokens in both English and Chinese
With the rapid advancements in Artificial Intelligence, Large Language Models (LLMs) are constantly improving through ongoing research. These models undergo ...
This AI Paper Introduces DL3DV-10K: A Large-Scale Scene Dataset for Deep Learning-based 3D Vision
Neural View Synthesis (NVS) poses a complex challenge in generating realistic 3D scenes from multi-view videos, especially in diverse real-world ...
This Paper Explores the Legal and Ethical Maze of Language Model Training: Unveiling the Risks and Remedies in Dataset Transparency and Use
As language models become increasingly advanced, concerns have arisen around the ethical and legal implications of training them on vast ...
Can Machine Learning Predict Chaos? This Paper from UT Austin Performs a Large-Scale Comparison of Modern Forecasting Methods on a Giant Dataset of 135 Chaotic Systems
The science of predicting chaotic systems lies at the intriguing intersection of physics and computer science. This field delves into ...
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