​[[{“value”:” In June, I started a series of posts that highlight the key factors that are driving customers to choose Amazon Bedrock. The first covered building generative AI apps securely with Amazon Bedrock, while the second explored building custom generative AI applications with Amazon Bedrock.… Read More »Enabling complex generative AI applications with Amazon Bedrock Agents Vasi Philomin AWS Machine Learning Blog

​[[{“value”:” Understanding multi-page documents and news videos is a common task in human daily life. To tackle such scenarios, Multimodal Large Language Models (MLLMs) should be equipped with the ability to understand multiple images with rich visually-situated text information. However, comprehending document images is more… Read More »Optimizing Document Understanding with DocOwl2: A Novel High-Resolution Compression Architecture Mohammad Asjad Artificial Intelligence Category – MarkTechPost

​[[{“value”:” AI has seen significant progress in coding, mathematics, and reasoning tasks. These advancements are driven largely by the increased use of large language models (LLMs), essential for automating complex problem-solving tasks. These models are increasingly used to handle highly specialized and structured problems in… Read More »Stanford Researchers Explore Inference Compute Scaling in Language Models: Achieving Enhanced Performance and Cost Efficiency through Repeated Sampling Nikhil Artificial Intelligence Category – MarkTechPost

​[[{“value”:” Recent advancements in medical multimodal large language models (MLLMs) have shown significant progress in medical decision-making. However, many models, such as Med-Flamingo and LLaVA-Med, are designed for specific tasks and require large datasets and high computational resources, limiting their practicality in clinical settings. While… Read More »Med-MoE: A Lightweight Framework for Efficient Multimodal Medical Decision-Making in Resource-Limited Settings Sana Hassan Artificial Intelligence Category – MarkTechPost

​[[{“value”:” AI models, such as language models, need to maintain a long-term memory of their interactions to generate relevant and contextually appropriate content. One of the primary challenges in maintaining a long-term memory of their interactions is data storage and retrieval efficiency. Current language models,… Read More »Claude Memory: A Chrome Extension that Enhances Your Interaction with Claude by Providing Memory Functionality Pragati Jhunjhunwala Artificial Intelligence Category – MarkTechPost

​[[{“value”:” Phind has officially announced the release of its new flagship model, Phind-405B, along with an innovative Phind Instant model aimed at revolutionizing AI-powered search and programming tasks. These advancements represent a milestone in technical capabilities, empowering developers and technical users with more efficient, powerful… Read More »Phind Presents Phind-405B: Phind’s Flagship AI Model Enhancing Technical Task Efficiency and Lightning-Fast Phind Instant for Superior Search Performance Sana Hassan Artificial Intelligence Category – MarkTechPost

​[[{“value”:” Large language models (LLMs) have gained significant attention in the field of artificial intelligence, particularly in the development of model-based agents. These agents, equipped with probabilistic world models, can anticipate future environmental states and plan accordingly. While world models have shown promise in reinforcement… Read More »Language-Guided World Models (LWMs): Enhancing Agent Controllability and Compositional Generalization through Natural Language Mohammad Asjad Artificial Intelligence Category – MarkTechPost

​[[{“value”:” Explainable AI (XAI) has emerged as a critical field, focusing on providing interpretable insights into machine learning model decisions. Self-explaining models, utilizing techniques such as backpropagation-based, model distillation, and prototype-based approaches, aim to elucidate decision-making processes. However, most existing studies treat explanations as one-way… Read More »Learning by Self-Explaining (LSX): A Novel Approach to Enhancing AI Generalization and Faithful Model Explanations through Self-Refinement Shoaib Nazir Artificial Intelligence Category – MarkTechPost

​[[{“value”:” Multimodal large language models (MLLMs) are increasingly applied in diverse fields such as medical image analysis, engineering diagnostics, and even education, where understanding diagrams, charts, and other visual data is essential. The complexity of these tasks requires MLLMs to seamlessly switch between different types… Read More »CMU Researchers Introduce MMMU-Pro: An Advanced Version of the Massive Multi-discipline Multimodal Understanding and Reasoning (MMMU) Benchmark for Evaluating Multimodal Understanding in AI Models Nikhil Artificial Intelligence Category – MarkTechPost

​[[{“value”:” This post is co-written with Francisco Azuaje from Genomics England. Genomics England analyzes sequenced genomes for The National Health Service (NHS) in the United Kingdom, and then equips researchers to use data to advance biological research. As part of its goal to help people… Read More »Genomics England uses Amazon SageMaker to predict cancer subtypes and patient survival from multi-modal data Cemre Zor AWS Machine Learning Blog