​[[{“value”:” Deep neural networks are powerful tools that excel in learning complex patterns, but understanding how they efficiently compress input data into meaningful representations remains a challenging research problem. Researchers from the University of California, Los Angeles, and New York University propose a new metric,… Read More »Understanding Local Rank and Information Compression in Deep Neural Networks Shobha Kakkar Artificial Intelligence Category – MarkTechPost

​[[{“value”:” Recent advancements in Large Language Models (LLMs) have reshaped the Artificial intelligence (AI)landscape, paving the way for the creation of Multimodal Large Language Models (MLLMs). These advanced models expand AI capabilities beyond text, allowing understanding and generation of content like images, audio, and video,… Read More »Baichuan-Omni: An Open-Source 7B Multimodal Large Language Model for Image, Video, Audio, and Text Processing Divyesh Vitthal Jawkhede Artificial Intelligence Category – MarkTechPost

​[[{“value”:” Agentic systems have evolved rapidly in recent years, showing potential to solve complex tasks that mimic human-like decision-making processes. These systems are designed to act step-by-step, analyzing intermediate stages in tasks like humans do. However, one of the biggest challenges in this field is… Read More »Agent-as-a-Judge: An Advanced AI Framework for Scalable and Accurate Evaluation of AI Systems Through Continuous Feedback and Human-level Judgments Sana Hassan Artificial Intelligence Category – MarkTechPost

​[[{“value”:” One of the primary challenges in developing advanced text-to-speech (TTS) systems is the lack of expressivity when transcribing and generating speech. Traditionally, large language models (LLMs) used for building TTS pipelines convert speech to text using automatic speech recognition (ASR), process it using an… Read More »Meta AI Releases Meta Spirit LM: An Open Source Multimodal Language Model Mixing Text and Speech Asif Razzaq Artificial Intelligence Category – MarkTechPost

​[[{“value”:” The rapid growth of large language models (LLMs) has brought impressive capabilities, but it has also highlighted significant challenges related to resource consumption and scalability. LLMs often require extensive GPU infrastructure and enormous amounts of power, making them costly to deploy and maintain. This… Read More »Microsoft Open-Sources bitnet.cpp: A Super-Efficient 1-bit LLM Inference Framework that Runs Directly on CPUs Asif Razzaq Artificial Intelligence Category – MarkTechPost

​[[{“value”:” This post is co-written Rodrigo Amaral, Ashwin Murthy and Meghan Stronach from Qualcomm. In this post, we introduce an innovative solution for end-to-end model customization and deployment at the edge using Amazon SageMaker and Qualcomm AI Hub. This seamless cloud-to-edge AI development experience will… Read More »Train, optimize, and deploy models on edge devices using Amazon SageMaker and Qualcomm AI Hub Rodrigo Amaral AWS Machine Learning Blog

​[[{“value”:” The study investigates the emergence of intelligent behavior in artificial systems by examining how the complexity of rule-based systems influences the capabilities of models trained to predict those rules. Traditionally, AI development has focused on training models using datasets that reflect human intelligence, such… Read More »Emergence of Intelligence in LLMs: The Role of Complexity in Rule-Based Systems Sana Hassan Artificial Intelligence Category – MarkTechPost

​[[{“value”:” Omni-modality language models (OLMs) are a rapidly advancing area of AI that enables understanding and reasoning across multiple data types, including text, audio, video, and images. These models aim to simulate human-like comprehension by processing diverse inputs simultaneously, making them highly useful in complex,… Read More »Google DeepMind Introduces Omni×R: A Comprehensive Evaluation Framework for Benchmarking Reasoning Capabilities of Omni-Modality Language Models Across Text, Audio, Image, and Video Inputs Asif Razzaq Artificial Intelligence Category – MarkTechPost

​[[{“value”:” Large language models (LLMs) have revolutionized how machines process and generate human language, but their ability to reason effectively across diverse tasks remains a significant challenge. Researchers in AI are working to enable these models to perform not just language understanding but also complex… Read More »Salesforce AI Introduces ReGenesis: A Novel AI Approach to Improving Large Language Model Reasoning Capabilities Nikhil Artificial Intelligence Category – MarkTechPost

​[[{“value”:” Large Language Models (LLMs) have gained significant traction in recent years, with fine-tuning pre-trained models for specific tasks becoming a common practice. However, this approach needs help in resource efficiency when deploying separate models for each task. The growing demand for multitask learning solutions… Read More »Model Kinship: The Degree of Similarity or Relatedness between LLMs, Analogous to Biological Evolution Mohammad Asjad Artificial Intelligence Category – MarkTechPost