​ Large Language Models (LLMs) have succeeded in several different reasoning tasks. To guarantee that the intended aim is met, it is sometimes required to iteratively adjust the LLM results because the output is only occasionally accurate on the first try. These refinement techniques assume… Read More »Researchers from ETH Zurich and Microsoft Introduce SCREWS: An Artificial Intelligence Framework for Enhancing the Reasoning in Large Language Models Aneesh Tickoo Artificial Intelligence Category – MarkTechPost

​ Multimodal AI is a field of Artificial Intelligence (AI) that combines various data types (modalities), such as text, image, video, audio, etc., to achieve better performances. Most traditional AI models are unimodal, i.e., they can process only one data type. They are trained, and… Read More »Latest Advancements in the Field of Multimodal AI: (ChatGPT + DALLE 3) + (Google BARD + Extensions) and many more…. Arham Islam Artificial Intelligence Category – MarkTechPost

​ In artificial intelligence, one of the fundamental challenges has been enabling machines to understand and generate human language in conjunction with various sensory inputs, such as images, videos, audio, and motion signals. This problem has significant implications for multiple applications, including human-computer interaction, content… Read More »Meta AI Introduces AnyMAL: The Future of Multimodal Language Models Bridging Text, Images, Videos, Audio, and Motion Sensor Data Madhur Garg Artificial Intelligence Category – MarkTechPost

​ In the rapidly evolving landscape of text-to-image (T2I) models, a new frontier is emerging with the introduction of GlueGen. T2I models have demonstrated impressive capabilities in generating images from text descriptions, but their rigidity in terms of modifying or enhancing their functionality has been… Read More »Salesforce AI Introduces GlueGen: Revolutionizing Text-to-Image Models with Efficient Encoder Upgrades and Multimodal Capabilities Adnan Hassan Artificial Intelligence Category – MarkTechPost

​ Artificial intelligence (AI) algorithms known as large language models (LLMs) combine deep learning methods and enormous data sets to comprehend, summarize, produce, and anticipate fresh material. They are believed to internalize accurate and biased information and embodied knowledge of syntax, semantics, and “ontology” inherent… Read More »What are Large Language Models (LLMs) Prathamesh Ingle Artificial Intelligence Category – MarkTechPost

​ Research focuses on categorizing human facial images by emotions through facial expression recognition (FER) using powerful deep neural networks (DNNs). However, accurately classifying unlearned input, particularly non-face images, remains challenging. Open-set recognition (OSR) in FER addresses this by distinguishing between facial and non-face images,… Read More »How Can We Efficiently Distinguish Facial Images Without Reconstruction? Check Out This Novel AI Approach Leveraging Emotion Matching in FER Datasets Mahmoud Ghorbel Artificial Intelligence Category – MarkTechPost

​ Over recent years, there has been remarkable progress in computer vision methodologies dedicated to reconstructing and illustrating static 3D scenes by leveraging neural radiance fields (NeRFs). Emerging approaches have tried to extend this capability to dynamic scenes by introducing space-time neural radiance fields, commonly… Read More »Google AI and Cornell Researchers Introduce DynIBaR: A New AI Method that Generates Photorealistic Free-Viewpoint Renderings from a Single Video of a Complex and Dynamic Scene Rachit Ranjan Artificial Intelligence Category – MarkTechPost

​ With the continuous advancements in the field of Artificial Intelligence and Machine Learning, text-to-image generation and text-to-video generation have made significant developments. Text-to-video (T2V) generation goes beyond Text-to-image by producing brief movies, often with 16 frames at two frames per second, based on verbal… Read More »Can Large Language Models Revolutionize Multi-Scene Video Generation? Meet VideoDirectorGPT: The Future of Dynamic Text-to-Video Creation Tanya Malhotra Artificial Intelligence Category – MarkTechPost

​ Analyzing medical images plays a crucial role in diagnosing and treating diseases. The ability to automate this process using machine learning (ML) techniques allows healthcare professionals to more quickly diagnose certain cancers, coronary diseases, and ophthalmologic conditions. However, one of the key challenges faced… Read More »Simplify medical image classification using Amazon SageMaker Canvas Ramakant Joshi AWS Machine Learning Blog

​ Healthcare and life sciences (HCLS) customers are adopting generative AI as a tool to get more from their data. Use cases include document summarization to help readers focus on key points of a document and transforming unstructured text into standardized formats to highlight important… Read More »Create an HCLS document summarization application with Falcon using Amazon SageMaker JumpStart John Kitaoka AWS Machine Learning Blog