​ This post is co-written by Jyoti Sharma and Sharmo Sarkar from Vericast. For any machine learning (ML) problem, the data scientist begins by working with data. This includes gathering, exploring, and understanding the business and technical aspects of the data, along with evaluation of… Read More »How Vericast optimized feature engineering using Amazon SageMaker Processing Anthony McClure AWS Machine Learning Blog

​ Using Docker to run MongoDB can simplify the deployment process and make it easier to manage the database infrastructure. We shall determine how to set up MongoDB in a Docker in this article. The steps to run MongoDB inside a Docker container are listed… Read More »Run MongoDB in Docker Container AQSA Spark By {Examples}

​ This article mainly focuses on the $push operator in MongoDB and its different scenarios with other operators. The $push operator is a MongoDB update operator that allows us to append new elements to an array within a document. Moreover, the $push operator can be… Read More »MongoDB $push Operator to Update Array AQSA Spark By {Examples}

​ The results of training LLMs on data from open-domain instruction-following are phenomenal. However, manually developing this kind of instructional data takes time and effort. Furthermore, humans may need help creating highly complex instructions. Many recent natural language processing (NLP) community efforts have focused on… Read More »This AI paper shows an avenue for creating large amounts of instruction data with varying levels of complexity using LLM instead of humans Dhanshree Shripad Shenwai Artificial Intelligence Category – MarkTechPost

​ A once-in-a-century global health emergency accelerates worldwide healthcare innovation and novel medical breakthroughs, all supported by powerful high-performance computing (HPC) capabilities. COVID-19 has forever changed how nations function in the globally interconnected economy. To this day, it continues to affect and shape how countries… Read More »Preparing for future health emergencies with Azure HPC Rudeon Snell Microsoft Azure Blog > Machine Learning

​ Automated brain lesion segmentation using convolutional neural networks (CNNs) has become a valuable clinical diagnosis and research tool. However, CNN-based approaches still face challenges in accurately segmenting brain lesions due to the scarcity of annotated training data. Data augmentation strategies that mix pairs of… Read More »Researchers from China Propose a Data Augmentation Approach CarveMix for Brain Lesion Segmentation Mahmoud Ghorbel Artificial Intelligence Category – MarkTechPost

​ Large Language Models (LLMs) are the current hot topic in the field of Artificial Intelligence. A good level of advancements has already been made in a wide range of industries like healthcare, finance, education, entertainment, etc. The well-known large language models such as GPT,… Read More »Can LLMs Run Natively on Your iPhone? Meet MLC-LLM: An Open Framework that Brings Language Models (LLMs) Directly into a Broad Class of Platforms with GPU Acceleration Tanya Malhotra Artificial Intelligence Category – MarkTechPost

​ One of the most popular models available today is XGBoost. With the ability to solve various problems such as classification and regression, XGBoost has become a popular option that also falls into the category of tree-based models. In this post, we dive deep to… Read More »Hosting ML Models on Amazon SageMaker using Triton: XGBoost, LightGBM, and Treelite Models Raghu Ramesha AWS Machine Learning Blog

​ The AI community is now significantly impacted by large language models, and the introduction of ChatGPT and GPT-4 has advanced natural language processing. Thanks to vast web-text data and robust architecture, LLMs can read, write, and converse like humans. Despite the successful applications in… Read More »Meet AudioGPT: A Multi-Modal AI System Connecting ChatGPT With Audio Foundation Models Aneesh Tickoo Artificial Intelligence Category – MarkTechPost