Multitask learning (MLT) involves training a single model to perform multiple tasks simultaneously, leveraging shared information to enhance performance. While beneficial, MLT poses challenges in ...

Machine learning focuses on creating algorithms that enable computers to learn from data and improve performance over time. It has revolutionized domains such as image recognition, natural language ...

Facing constant frustration with slow and error-prone manual processes, many users struggle to bypass platform detections, especially when security concerns loom large over profile storage and access.

The landscape of electricity generation has undergone a profound transformation in recent years, propelled by the urgent global climate change movement. This shift has led to a significant increase in ...

Multi-Layer Perceptrons (MLPs), also known as fully-connected feedforward neural networks, have been significant in modern deep learning. Because of the universal approximation theorem’s guarantee of ...

Natural Language Processing (NLP) seeks to enable computers to comprehend and interact using human language. A critical challenge in NLP is evaluating language models (LMs), which generate responses ...

The foundational importance of arrays in computer science cannot be overstated. Arrays and lists are the bedrock of data structures, often the first concepts introduced to budding programmers. Since ...

Large Language Models (LLMs) have gained traction for their exceptional performance in various tasks. Recent research aims to enhance their factuality by integrating external resources, including ...

Language models built on Large Language models (LLMs) have been developed for multiple applications, followed by new advancements in enhancing LLMs. However, LLMs lack adaption and personalization to ...

The increasing reliance on machine learning models in critical applications raises concerns about their susceptibility to manipulation and exploitation. Once trained on a dataset, these models often ...

Large Language Models (LLMs) represent a significant leap in artificial intelligence, offering robust natural language understanding and generation capabilities. These advanced models can perform ...

PyTorch introduced TK-GEMM, an optimized Triton FP8 GEMM kernel, to address the challenge of accelerating FP8 inference for large language models (LLMs) like Llama3 using Triton Kernels. Standard ...