Recent advancements in text-to-image generation have been largely driven by diffusion models; however, these models often struggle to comprehend dense prompts with complex correlations and detailed descriptions. Addressing these limitations, the Efficient Large Language Model Adapter (ELLA) is presented as a novel method in the field.
ELLA enhances the capabilities of diffusion models through the integration…
Diffusion models are widely used in image, video, and audio generation. However, their sampling process is costly in terms of computation, and lacks compared to the efficiency in training. Alternatively, Consistency Models, and their variants Consistency Training and Consistency Distillation, provide quicker sampling but compromise on the quality of images. TRACT is another known method…
Advanced language models (ALMs) have significantly improved artificial intelligence's understanding and generation of human language. These developments reformed natural language processing (NLP) and led to various advancements in AI applications, such as enhancing conversational agents and automating complex text analysis tasks. However, training these models effectively remains a challenge due to heavy computation required and…
Large Language Models (LLMs) have shown impressive competencies across various disciplines, from generating unique content and answering questions to summarizing large text chunks, completing codes, and translating languages. They are considered one of the most significant advancements in Artificial Intelligence (AI). It is generally assumed that for LLMs to possess considerable mathematical abilities, they need…
In data science and artificial intelligence, the practice of embedding entities into vector spaces allows for numerical representation of various objects, such as words, users, and items. This method facilitates the measurement of similarities among entities, asserting that vectors closer in space are more similar. A favored metric for identifying similarities is cosine similarity, which…
Idiopathic Pulmonary Fibrosis (IPF) and renal fibrosis are complex diseases that have challenged pharmaceutical development, as they lack efficient treatment methods. Current potential drug targets, such as TGF-β signaling pathways, have not led to viable therapies for actual use. As a result, IPF, characterized by fibroblast proliferation and extracellular matrix deposition, continues to be particularly…
Today's increasingly pervasive artificial intelligence (AI) technologies have given rise to concerns over the perpetuation of historically entrenched human biases, particularly within marginalized communities. New research by academics from the Allen Institute for AI, Stanford University, and the University of Chicago exposes a worrying form of bias rarely discussed before: Dialect Prejudice against speakers of…
Recent advancements in large language models (LLMs), which have revolutionized fields like healthcare, translation, and code generation, are now being leveraged to assist the legal domain. Legal professionals often grapple with extensive, complex documents, emphasizing the need for a dedicated LLM. To address this, researchers from several prestigious institutions—including Equall.ai, MICS, CentraleSupélec, and Université Paris-Saclay—have…
Vision-Language Models (VLMs) provide state-of-the-art performance across a spectrum of vision-language tasks, including captioning, object localization, commonsense reasoning, and vision-based coding, amongst others. Recent studies, such as one undertaken by Apple, showed that these models excel in extracting text from images and interpreting visual data, including tables and charts. However, when tested on complex tasks…
Artificial Intelligence (AI) researchers have developed an innovative framework to produce visually and audibly cohesive content. This advancement could help overcome previous difficulties in synchronizing video and audio generation. The framework uses pre-trained models like ImageBind, which links different data types into a unified semantic space. This function allows ImageBind to provide feedback on the…
The 01.AI research team has introduced the Yi model family of Artificial Intelligence (AI) designed to bridge the gap between human language and visual perception. Uniquely, this model doesn't simply parse text or images individually; it combines both, demonstrating an unprecedented degree of multi-modal understanding. This ground-breaking technology's purpose is to mirror and extend human…
The boundary between the visual world and the realm of natural language has become a crucial frontier in the fast-changing field of artificial intelligence. Vision-language models, which aim to unravel the complicated relationship between images and text, are important developments for various applications, including enhancing accessibility and providing automated assistance in diverse industries.
However, creating models…