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It has been said that information theory and machine learning are "two sides of the same coin" because of their close relationship. One exquisite relationship is the fundamental similarity between probabilistic...
Researchers have introduced a cutting-edge framework called MUTEX, short for "MUltimodal Task specification for robot EXecution," aimed at significantly advancing the capabilities of robots in assisting humans. The primary problem they tackle is the limitation of...
In recent years, large language models (LLMs) have revolutionized the field of natural language processing, enabling unprecedented zero-shot and few-shot learning capabilities. However, their...
Understanding their surroundings in three dimensions (3D vision) is essential for domestic robots to perform tasks like navigation, manipulation, and answering queries. At the...
Unlike narrow or specialized AI systems designed for specific tasks, Artificial General Intelligence (AGI) can perform a wide range of functions that aim to...
Auditing Large Language Models (LLMs) has become a paramount concern as these models are increasingly integrated into various applications. Ensuring their ethical, unbiased, and...
In response to the scarcity of comprehensive datasets in the field of histopathology, a research team has introduced a groundbreaking solution known as QUILT-1M....
Recently, text-to-image (T2I) diffusion models have exhibited promising outcomes, sparking explorations into numerous generative tasks. Some efforts have been made to invert pre-trained text-to-image...
Transformers could be one of the most important innovations in the artificial intelligence domain. These neural network architectures, introduced in 2017, have revolutionized how...
The introduction of Large language models (LLMs) has brought a significant level of advancement in the field of Artificial Intelligence. Based on the concepts...
Large language models (LLMs) have become integral to various AI applications, from virtual assistants to code generation. Users adapt their behavior when engaging with...
In the fast-evolving field of natural language processing, the capabilities of large language models have grown exponentially. Researchers and organizations worldwide are continually pushing...
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