Browsing: ML News
The seamless integration of Large Language Models (LLMs) into the fabric of specialized scientific research represents a pivotal shift in the landscape of computational biology, chemistry,…
In the annals of computational history, the journey from the initial mechanical calculators to Turing Complete machines has been revolutionary. While impressive, early computing devices, such…
The exploration of augmenting large language models (LLMs) with the capability to understand and process audio, including non-speech sounds and non-verbal speech, is a burgeoning field.…
Developing models capable of understanding and generating sequences has become a cornerstone of progress. Among these, transformers have emerged as the gold standard, celebrated for their…
In the rapidly evolving field of audio synthesis, a new frontier has been crossed with the development of Stable Audio, a state-of-the-art generative model. This innovative…
Researchers are pushing what machines can comprehend and replicate regarding human cognitive processes. A groundbreaking study unveils an approach to peering into the minds of Large…
In the fascinating world of artificial intelligence and music, a team at Google DeepMind has made a groundbreaking stride. Their creation, MusicRL, is a beacon in…
Delving into the intricacies of artificial intelligence, particularly within the dynamic reasoning domain, uncovers the pivotal role of Large Language Models (LLMs) in navigating environments that…
Graph Transformers need help with scalability in graph sequence modeling due to high computational costs, and existing attention sparsification methods fail to adequately address data-dependent contexts.…
Artificial intelligence has seen remarkable advancements with the development of large language models (LLMs). Thanks to techniques like reinforcement learning from human feedback (RLHF), they have…