Researchers at King's College London have conducted a study that delves into the theoretical understanding of transformer architectures, such as the model used in ChatGPT. Their goal is to explain why this type of architecture is so successful in natural language processing tasks.
While transformer architectures are widely used, their functional mechanisms are yet to…
Large language models (LLMs) have received much acclaim for their ability to understand and process human language. However, these models tend to struggle with mathematical reasoning, a skill that requires a combination of logic and numeric understanding. This shortcoming has sparked interest in researching and developing methods to improve LLMs' mathematical abilities without downgrading their…
With an increase in the adoption of pre-trained language models in recent years, the use of neural-based retrieval models has been on the rise. One of these models is Dense Retrieval (DR), known for its effectiveness and impressive ranking performance on several benchmarks. In particular, Multi-Vector Dense Retrieval (MVDR) employs multiple vectors to describe documents…
Google researchers have developed a new streaming dense video captioning model which aims to improve on previous methods by enabling localized identification of events within a video and real-time generation of appropriate captions for them. Existing practices are hindered by limited frame processing, causing incomplete or inadequate video descriptions.
The existing dense video captioning models have…
In a world full of investment opportunities, choosing the right one requires having access to accurate financial data and understanding complex financial metrics. Both seasoned and new investors face challenges in obtaining this information and staying up-to-date with the latest financial news. While there are a plethora of tools and services designed to provide this…
The concept of cascades in large language models (LLMs) has gained popularity for its high task efficiency while reducing data inference. However, potential privacy issues can arise in managing sensitive user information due to interactivity between local and remote models. Conventional cascade systems lack privacy-protecting mechanisms, causing sensitive data to be unintentionally transferred to the…
Artificial Intelligence (AI) is a rapidly advancing field that often requires hefty investments, predominantly accessible to tech giants like OpenAI and Meta. However, an exciting breakthrough presents an exception to this norm—turning the tide in favor of democratizing AI development. Researchers from MIT's Computer Science and Artificial Intelligence Laboratory (CSAIL) and Myshell AI have demonstrated…
As artificial intelligence (AI) continues to expand, new developments are continually ushering in advances in the field. One of these latest innovations is the C4AI Command R+ from Cohere. This model boasts a staggering 104 billion parameters, and stands alongside prominent models like the GPT-4 Turbo and Claude-3 in various computational tasks. Rooting itself firmly…
The Transformer architecture has been highly beneficial in natural language processing (NLP) sparking an increased interest in its application within the computer vision (CV) community. Vision Transformers (ViTs), which apply the Transformer's architecture to vision tasks, have shown great promise across a variety of applications including image classification, object detection, and video recognition. However, ViTs…