​ 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

​ Last Updated on May 3, 2023 As neural networks become increasingly popular in the field of machine learning, it is important to understand the role that activation functions play in their implementation. In this article, you’ll explore the concept of activation functions that are… Read More »Activation Functions in PyTorch Muhammad Asad Iqbal Khan MachineLearningMastery.com

​ NVIDIA today introduced a wave of cutting-edge AI research that will enable developers and artists to bring their ideas to life — whether still or moving, in 2D or 3D, hyperrealistic or fantastical. Around 20 NVIDIA Research papers advancing generative AI and neural graphics… Read More »Latest NVIDIA Graphics Research Advances Generative AI’s Next Frontier Aaron Lefohn – Archives Page 1 | NVIDIA Blog

​ Posted by Jeremy Wortz, ML specialist, Google Cloud & Jordan Totten, Machine Learning Specialist Cross posted from Google Cloud AI & Machine Learning In a previous blog, we outlined three approaches for implementing recommendation systems on Google Cloud, including (1) a fully managed solution… Read More »Scaling deep retrieval with TensorFlow Recommenders and Vertex AI Matching Engine noreply@blogger.com (TensorFlow Blog) The TensorFlow Blog

​ Machine learning (ML) helps organizations generate revenue, reduce costs, mitigate risk, drive efficiencies, and improve quality by optimizing core business functions across multiple business units such as marketing, manufacturing, operations, sales, finance, and customer service. With AWS ML, organizations can accelerate the value creation… Read More »Bring your own ML model into Amazon SageMaker Canvas and generate accurate predictions Aman Sharma AWS Machine Learning Blog