Browsing: ML News
Reinforcement learning (RL) is a specialized area of machine learning where agents are trained to make decisions by interacting with their environment. This interaction involves taking…
In machine learning, multi-task learning (MTL) has emerged as a powerful paradigm that enables concurrent training of multiple interrelated algorithms. By exploiting the inherent connections between…
Generative AI (Gen AI), capable of producing robust content based on input, is poised to impact various sectors like science, economy, education, and the environment. Extensive…
The origins of quantum computing trace back to Richard Feynman’s ideas of simulating various Hamiltonians using controlled quantum systems, with David Deutsch later formulating the theory…
Large Language Models (LLMs) such as ChatGPT have attracted a lot of attention since they can perform a wide range of activities, including language processing, knowledge…
Transformer-based neural networks have shown great ability to handle multiple tasks like text generation, editing, and question-answering. In many cases, models that use more parameters show…
This AI Paper Introduces Rational Transfer Function: Advancing Sequence Modeling with FFT Techniques
State-space models (SSMs) are crucial in deep learning for sequence modeling. They represent systems where the output depends on both current and past inputs. SSMs are…
Machine Learning (ML) is everywhere these days, playing a crucial role in countless fields worldwide. Its applications are endless, and we rely on it more than…
RLHF is the standard approach for aligning LLMs. However, recent advances in offline alignment methods, such as direct preference optimization (DPO) and its variants, challenge the…
Artificial neural networks (ANNs) show a remarkable pattern when trained on natural data irrespective of exact initialization, dataset, or training objective; models trained on the same…