Browsing: ML News
One primary driver for artificial intelligence research in mathematical reasoning is that it may further increase model understanding and problem-solving abilities on complex mathematical problems. Applications…
Artificial intelligence (AI) has evolved into a powerful tool beyond simple automation, becoming a critical asset in scientific research. Integrating AI in scientific discovery is reshaping…
The rapid advancement of AI and machine learning has transformed industries, yet deploying complex models at scale remains challenging. This is particularly true for multimodal applications…
Most advanced machine learning models, especially those achieving state-of-the-art results, require significant computational resources such as GPUs and TPUs. Deploying large models in resource-constrained environments like…
Transformers are a groundbreaking innovation in AI, particularly in natural language processing and machine learning. Despite their pervasive use, the internal mechanics of Transformers remain a…
Large Language Models (LLMs), like ChatGPT and GPT-4 from OpenAI, are advancing significantly and transforming the field of Natural Language Processing (NLP) and Natural Language Generation…
Large Language Models (LLMs) have gained significant attention for their versatility, but their factualness remains a critical concern. Studies have revealed that LLMs can produce nonfactual,…
Traditional molecular representations, primarily focused on covalent bonds, have neglected crucial aspects like delocalization and non-covalent interactions. Existing machine learning models have utilized information-sparse representations, limiting…
Deep learning has revolutionized various domains, with Transformers emerging as a dominant architecture. However, Transformers must improve the processing of lengthy sequences due to their quadratic…
Knowledge Distillation (KD) has become a key technique in the field of Artificial Intelligence, especially in the context of Large Language Models (LLMs), for transferring the…