​ When a customer has a production-ready intelligent document processing (IDP) workload, we often receive requests for a Well-Architected review. To build an enterprise solution, developer resources, cost, time and user-experience have to be balanced to achieve the desired business outcome. The AWS Well-Architected Framework… Read More »Build well-architected IDP solutions with a custom lens – Part 4: Performance efficiency Mia Chang AWS Machine Learning Blog

​ Building a production-ready solution in the cloud involves a series of trade-off between resources, time, customer expectation, and business outcome. The AWS Well-Architected Framework helps you understand the benefits and risks of decisions you make while building workloads on AWS. An intelligent document processing… Read More »Build well-architected IDP solutions with a custom lens – Part 5: Cost optimization Suyin Wang AWS Machine Learning Blog

​ An intelligent document processing (IDP) project typically combines optical character recognition (OCR) and natural language processing (NLP) to automatically read and understand documents. Customers across all industries run IDP workloads on AWS to deliver business value by automating use cases such as KYC forms,… Read More »Build well-architected IDP solutions with a custom lens – Part 6: Sustainability Christian Denich AWS Machine Learning Blog

​ Large language models are becoming increasingly complex, making evaluation more difficult. The community has produced many benchmarks in a relatively short amount of time, but benchmark scores do not always correspond to actual performance. Some evidence suggests that many popular benchmarks may have tainted… Read More »Researchers from UC Berkeley and SJTU China Introduce the Concept of a ‘Rephrased Sample’ for Rethinking Benchmark and Contamination for Language Models Dhanshree Shripad Shenwai Artificial Intelligence Category – MarkTechPost

​ Researchers from the University of Pennsylvania, the University of Washington, and Tencent AI Lab propose a sub-sentence encoder, a contrastively learned contextual embedding model that generates distinct embeddings for atomic propositions within a text sequence. Unlike traditional sentence embeddings, it focuses on fine-grained semantic… Read More »This AI Paper Introduces Sub-Sentence Encoder: A Contrastively-Learned Contextual Embedding AI Model for Fine-Grained Semantic Representation of Text Adnan Hassan Artificial Intelligence Category – MarkTechPost

​ For decades, Amazon has pioneered and innovated machine learning (ML), bringing delightful experiences to its customers. From the earliest days, Amazon has used ML for various use cases such as book recommendations, search, and fraud detection. Similar to the rest of the industry, the… Read More »How Amazon Search M5 saved 30% for LLM training cost by using AWS Trainium Jerry Mannil AWS Machine Learning Blog

​ Today, geospatial workflows typically consist of loading data, transforming it, and then producing visual insights like maps, text, or charts. Generative AI can automate these tasks through autonomous agents. In this post, we discuss how to use foundation models from Amazon Bedrock to power… Read More »Geospatial generative AI with Amazon Bedrock and Amazon Location Service Jeff DeMuth AWS Machine Learning Blog

​ In the realm of text-to-music synthesis, the quality of generated content has been advancing, but the controllability of musical aspects remains unexplored. A team of researchers from Singapore University of Technology and Design and the Queen Mary University of London introduced a solution to… Read More »Meet Mustango: A Music Domain-Knowledge-Inspired Text-to-Music System based on Diffusion that Expands the Tango Text-to-Audio Model Pragati Jhunjhunwala Artificial Intelligence Category – MarkTechPost

​ In a recent development, a team of researchers at Los Alamos National Laboratory has pioneered a cutting-edge artificial intelligence (AI) approach, opening doors for unprecedented efficiency in data processing. This innovative initiative promises far-reaching implications for industries, scientific exploration, and medical advancements. Their pioneering… Read More »Revolutionizing Data Reconstruction: AI’s Compact Solution for Broad Information Retrieval Niharika Singh Artificial Intelligence Category – MarkTechPost

​ A team of researchers from Nankai University and ByteDance introduced a novel framework called ChatAnything, designed to generate anthropomorphized personas for large language model (LLM)-based characters in an online manner. The aim is to create personas with customized visual appearance, personality, and tones based… Read More »Researchers from Nankai University and ByteDance Introduce ‘ChatAnything’: A Novel AI Framework Dedicated to the Generation of LLM-Enhanced Personas Pragati Jhunjhunwala Artificial Intelligence Category – MarkTechPost