Tokenization of 3D Shapes – Apple Machine Learning Research
Introducing Shape Tokens, a continuous 3D representation that is compact and easy to integrate into machine learning models. Shape tokens ...
Tag: Machine
2 actions to consider to turn an empty ISA into a £31,301-a-year passive income machine
Image source: Getty Images Profitable businesses can be great sources of extra money. But building a portfolio that can generate ...
Google DeepMind Researchers Introduce InfAlign: A Machine Learning Framework for Inference-Aware Language Model Alignment
Generative language models face persistent challenges in moving from training to practical application. A major difficulty lies in aligning these ...
AWS researchers propose LEDEX: a machine learning training framework that significantly improves the self-debugging capability of LLMs
Code generation using large language models (LLM) has become a critical research area, but generating accurate code for complex problems ...
This Amazon Machine Learning Research Presents a New Open Source High-Fidelity Dataset for Automotive Aerodynamics
One of the most critical challenges in computational fluid dynamics (CFD) and machine learning (ML) is that high-resolution 3D data ...
Tencent Research Introduces DRT-o1: Two Variants DRT-o1-7B and DRT-o1-14B With a Breakthrough in Neural Machine Translation for Literary Texts
Neural machine translation (NMT) is a sophisticated branch of natural language processing that automates the conversion of text between languages ...
Design Patterns with Python for Machine Learning Engineers: Template Method | by Marcello Politi | December 2024
Photo by Pawel Czerwinski in unpackLearn how to use the template design pattern to improve your codeIntroductionRecently I have been ...
2024 Survival Guide for Machine Learning Engineer Interviews | by Mengliu Zhao | December 2024
During the interview: how to prepare?Once you start the application process and start getting interviews, there are a few things ...
What is hinge loss in machine learning?
Hinge loss is critical in classification tasks and is widely used in support vector machines (SVMs), quantifying errors by penalizing ...
Google DeepMind Introduces 'SALT': A Machine Learning Approach to Efficiently Training Large, High-Performance Language Models Using SLM
Large language models (LLMs) are the backbone of numerous applications, such as conversational agents, automated content creation, and natural language ...
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