​ You can now retrain machine learning (ML) models and automate batch prediction workflows with updated datasets in Amazon SageMaker Canvas, thereby making it easier to constantly learn and improve the model performance and drive efficiency. An ML model’s effectiveness depends on the quality and… Read More »Retrain ML models and automate batch predictions in Amazon SageMaker Canvas using updated datasets Janisha Anand AWS Machine Learning Blog

​ Amazon Lex is excited to announce Test Workbench, a new bot testing solution that provides tools to simplify and automate the bot testing process. During bot development, testing is the phase where developers check whether a bot meets the specific requirements, needs and expectations… Read More »Expedite the Amazon Lex chatbot development lifecycle with Test Workbench Grazia Russo Lassner AWS Machine Learning Blog

​ Self-supervised learning is being prominently used in Artificial Intelligence to develop intelligent systems. The transformer models like BERT and T5 have recently got popular due to their excellent properties and have utilized the idea of self-supervision in Natural Language Processing tasks. These models are… Read More »This AI Paper Proposes A Self-Supervised Music Understanding Model Called MERT That Attains Overall SOTA Performance on 14 MIR Tasks Tanya Malhotra Artificial Intelligence Category – MarkTechPost

​ In the latest episode of NVIDIA’s AI Podcast, Anant Agarwal, founder of edX and chief platform officer at 2U, shared his vision for the future of online education and how AI is revolutionizing the learning experience. Agarwal, a strong advocate for massive open online… Read More »Taking AI to School: A Conversation With MIT’s Anant Agarwal Brian Caulfield – Archives Page 1 | NVIDIA Blog

​ Amazon Textract is a machine learning (ML) service that automatically extracts text, handwriting, and data from any document or image. Amazon Textract has a Tables feature within the AnalyzeDocument API that offers the ability to automatically extract tabular structures from any document. In this… Read More »Announcing enhanced table extractions with Amazon Textract Raj Pathak AWS Machine Learning Blog

​ Getting discharged from the hospital is a major milestone for patients — but sometimes, it’s not the end of their road to recovery. Nearly 15% of hospital patients in the U.S. are readmitted within 30 days of their initial discharge, which is often associated… Read More »NYU, NVIDIA Collaborate on Large Language Model to Predict Patient Readmission Anthony Costa – Archives Page 1 | NVIDIA Blog

​ Pre-trained models that speak many languages have performed excellently on natural language interpretation challenges. Large volumes of unlabeled data in hundreds of languages are often used to train these models. Although being pre-trained mostly on English data, recent huge language models have remarkable multilingual… Read More »Meet mmT5: A Modular Multilingual Sequence-To-Sequence Model That Outperforms mT5 Aneesh Tickoo Artificial Intelligence Category – MarkTechPost

​ With the craze of LLMs, such as widely popular GPT engines, every company, big or small, is in the race to either develop a model better than the existing ones or use the current models in an innovatively packaged way that solves a problem. … Read More »Model Collapse: The Hidden Threat to LLMs and How to Keep AI Rea Anant shahi Artificial Intelligence Category – MarkTechPost

​ This blog post is co-written with Dr. Ebtesam Almazrouei, Executive Director–Acting Chief AI Researcher of the AI-Cross Center Unit and Project Lead for LLM Projects at TII. United Arab Emirate’s (UAE) Technology Innovation Institute (TII), the applied research pillar of Abu Dhabi’s Advanced Technology… Read More »Technology Innovation Institute trains the state-of-the-art Falcon LLM 40B foundation model on Amazon SageMaker Dr. Ebtesam Almazrouei AWS Machine Learning Blog