AI models still lose track of who is who and what's happening in a movie. A new system orchestrates face recognition and staged summarization, keeping characters straight, and plots coherent across ...
Plants are constantly exposed to a wide array of biotic and abiotic stresses in their natural environments, posing ...
Abstract: Among the various methods used for time series prediction tasks in weather forecasting, Transformer can effectively extract global information and has achieved tremendous success. However, ...
Data Normalization vs. Standardization is one of the most foundational yet often misunderstood topics in machine learning and ...
In this online lecture and accompanying demo, Antal van den Bosch will demonstrate Olifant, a recently revived language model that offers an energy-efficient alternative to Large Language Models (LLMs ...
KTransformers, pronounced as Quick Transformers, is designed to enhance your 🤗 Transformers experience with advanced kernel optimizations and placement/parallelism strategies. KTransformers is a ...
We dive into Transformers in Deep Learning, a revolutionary architecture that powers today's cutting-edge models like GPT and BERT. We’ll break down the core concepts behind attention mechanisms, self ...
Machine learning models are increasingly applied across scientific disciplines, yet their effectiveness often hinges on heuristic decisions such as data transformations, training strategies, and model ...
Some results have been hidden because they may be inaccessible to you
Show inaccessible results