Meet SaulLM-7B: A Pioneering Large Language Model for Law Muhammad Athar Ganaie Artificial Intelligence Category – MarkTechPost

[[{“value”:” Advancements in large language models (LLMs) have been witnessed across various domains, such as translation, healthcare, and code generation. These models have shown exceptional capabilities in understanding and generating human-like text. Despite their success, the legal domain has yet to benefit fully from this… Read More »Meet SaulLM-7B: A Pioneering Large Language Model for Law Muhammad Athar Ganaie Artificial Intelligence Category – MarkTechPost

This AI Paper from Apple Delves Into the Intricacies of Machine Learning: Assessing Vision-Language Models with Raven’s Progressive Matrices Tanya Malhotra Artificial Intelligence Category – MarkTechPost

[[{“value”:” Vision-Language Models (VLMs) have come a long way recently, as demonstrated by the success of OpenAI’s GPT4-V. Recent studies have shown that these models have demonstrated remarkable performance across a variety of vision-language tasks, including captioning, object localization, multimodal world knowledge, commonsense reasoning, visual… Read More »This AI Paper from Apple Delves Into the Intricacies of Machine Learning: Assessing Vision-Language Models with Raven’s Progressive Matrices Tanya Malhotra Artificial Intelligence Category – MarkTechPost

[[{“value”:” In the age where artificial intelligence (AI) pervades every aspect of our lives, from aiding in educational endeavors to informing crucial decisions in healthcare and justice, the mirroring and amplification of human biases by language models pose a significant threat to equity and fairness.… Read More »Unmasking the Covert Prejudice in AI: A Dive into Dialect Discrimination Vineet Kumar Artificial Intelligence Category – MarkTechPost

[[{“value”:” Researchers from the Peking University and Alibaba Group introduced FastV to address the challenges caused by inefficient attention computation in Large Vision-Language Models (LVLMs). Existing models such as LLaVA-1.5 and Video-LLaVA have shown significant advancements in LVLMs but they struggle with the bottleneck in… Read More »FastV: A Plug-and-Play Inference Acceleration AI Method for Large Vision Language Models Relying on Visual Tokens Pragati Jhunjhunwala Artificial Intelligence Category – MarkTechPost

[[{“value”:” Idiopathic Pulmonary Fibrosis (IPF) and renal fibrosis present significant challenges in drug development due to their complex pathogenesis and lack of effective treatments. Despite extensive research, potential drug targets, such as TGF-β signaling pathways, have not successfully translated into viable therapies for clinical use.… Read More »Revolutionizing Fibrosis Treatment: AI-Driven Discovery of TNIK Inhibitor INS018_055 Unveils New Horizons in Therapeutics Sana Hassan Artificial Intelligence Category – MarkTechPost

[[{“value”:” The demand for advanced, scalable, and versatile tools is ever-growing in software development. Developers constantly seek efficient ways to handle complex tasks such as reasoning, summarization, and multilingual question answering. Identifying and meeting these demands requires innovative solutions adapting to various use cases and… Read More »Cohere AI Unleashes Command-R: The Ultimate 35 Billion-Parameter Revolution in AI Language Processing, Setting New Standards for Multilingual Generation and Reasoning Capabilities! Muhammad Athar Ganaie Artificial Intelligence Category – MarkTechPost

[[{“value”:” Today, we’re excited to announce that the Gemma model is now available for customers using Amazon SageMaker JumpStart. Gemma is a family of language models based on Google’s Gemini models, trained on up to 6 trillion tokens of text. The Gemma family consists of two sizes: a… Read More »Gemma is now available in Amazon SageMaker JumpStart Kyle Ulrich AWS Machine Learning Blog

Wearable sensors have permeated into people’s lives, ushering impactful applications in interactive systems and activity recognition. However, practitioners face significant obstacles when dealing with sensing heterogeneities, requiring custom models for different platforms. In this paper, we conduct a comprehensive evaluation of the generalizability of motion… Read More »MotionPrint: Ready-to-Use, Device-Agnostic, and Location-Invariant Motion Activity Models Apple Machine Learning Research

While Automatic Speech Recognition (ASR) systems are widely used in many real-world applications, they often do not generalize well to new domains and need to be finetuned on data from these domains. However, target-domain data is usually not readily available in many scenarios. In this… Read More »Corpus Synthesis for Zero-shot ASR Domain Adaptation using Large Language Models Apple Machine Learning Research

[[{“value”:” In data science and artificial intelligence, embedding entities into vector spaces is a pivotal technique, enabling the numerical representation of objects like words, users, and items. This method facilitates the quantification of similarities among entities, where vectors closer in space are considered more similar.… Read More »Unveiling the Hidden Complexities of Cosine Similarity in High-Dimensional Data: A Deep Dive into Linear Models and Beyond Adnan Hassan Artificial Intelligence Category – MarkTechPost