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Artificial Intelligence

This artificial intelligence research from China reveals that prevalent 7B language models are already equipped with robust mathematical abilities.

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…

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Revealing the Concealed Intricacies of Cosine Similarity in Large-Scale Data: An In-depth Investigation of Linear Models and Further

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…

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Cohere AI launches Command-R, a groundbreaking 35 billion-parameter change in AI language processing, establishing fresh benchmarks for multilingual creation and rationalizing abilities!

The software development industry is continuously seeking advanced, scalable, and flexible tools to handle complex tasks such as reasoning, summarization, and multilingual question answering. Addressing these needs and challenges—including dealing with vast amounts of data, ensuring model performance across different languages, and offering a versatile interface—requires innovative solutions. To this end, large language models have…

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Transforming Fibrosis Treatment: The Use of AI in Uncovering TNIK Inhibitor INS018_055 Opens Up New Possibilities in Medicine

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…

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FastV: An AI Technique for Speeding Up Inference in Large-Scale Vision Language Models Using Visual Tokens

A team of researchers from Peking University and Alibaba Group have introduced FastV, a model designed to mitigate the inefficiencies in computational processing within Large Vision-Language Models (LVLMs). In particular, FastV addresses the bias exhibited by the attention mechanism in LVLMs, which tends to favour textual tokens over visual tokens. Existing models - including LLaVA-1.5…

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Revealing Hidden Bias in AI: An In-depth Examination of Language Variant Discrimination

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…

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Introducing SaulLM-7B: An Innovative Extensive Language Model for Legal Sector

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…

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Apple’s AI Report Explores the Complexities of Machine Learning: Evaluating Vision-Language Models using Raven’s Progressive Matrices

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…

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Observing and Listening: Merging the Spheres of Sight and Sound through Artificial Intelligence

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…

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01.AI has unveiled the Yi Model Family, a range of models that are proficient in various languages and have multi-dimensional abilities. These models are capable of illustrating superior multimodal functionalities.

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…

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DeepSeek-AI Launches DeepSeek-VL: A Publicly Accessible Vision-Language (VL) System Crafted for Practical Vision and Language Comprehension Uses.

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…

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The investment in AI Search Engine by Jeff Bezos is predicted to double in the upcoming months.

Perplexity AI, a startup launched in August 2022, is aspiring to compete with Google in the search engine sector. The company's technology merges the capabilities of a chatbot and a traditional search engine, and its innovation is gaining investment from figures including Amazon founder, Jeff Bezos. In the first few months of 2024, Perplexity AI…

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