When you're trying to get the best performance out of Python, most developers immediately jump to complex algorithmic fixes, using C extensions, or obsessively running profiling tools. However, one of ...
Abstract: This study addresses the field of text-to-image conversion using deep learning techniques. The problem at issue concerns producing lifelike images from written descriptions, which has ...
An Entity Extraction Pipeline for Medical Text Records Using Large Language Models: Analytical Study
Background: The study of disease progression relies on clinical data, including text data, and extracting valuable features from text data has been a research hot spot. With the rise of large language ...
Abstract: This study introduces a method utilizing the Llama3-8b model for emotion text classification. The training process is accelerated by incorporating Lora and FlashAttention techniques. On an ...
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