​ Recent years have shown amazing growth in deep learning neural networks (DNNs). This growth can be seen in more accurate models and even opening new possibilities with generative AI: large language models (LLMs) that synthesize natural language, text-to-image generators, and more. These increased capabilities… Read More »Effectively solve distributed training convergence issues with Amazon SageMaker Hyperband Automatic Model Tuning Uri Rosenberg AWS Machine Learning Blog

​ Big foundational models like CLIP, Stable Diffusion, and Flamingo have radically improved multimodal deep learning over the past few years. Joint text-image modeling has gone from being a niche application to one of the (if not the) most relevant issues in today’s artificial intelligence… Read More »LAION AI Introduces Video2Dataset: An Open-Source Tool Designed To Curate Video And Audio Datasets Efficiently And At Scale Dhanshree Shripad Shenwai Artificial Intelligence Category – MarkTechPost

​ A watershed moment on Nov. 22, 2022, was mostly virtual, yet it shook the foundations of nearly every industry on the planet. On that day, OpenAI released ChatGPT, the most advanced artificial intelligence chatbot ever developed. This set off demand for generative AI applications… Read More »AI-Fueled Productivity: Generative AI Opens New Era of Efficiency Across Industries Cliff Edwards – Archives Page 1 | NVIDIA Blog

​ A molecule’s structure dictates its properties and functions. That is why structure prediction is a major issue in molecular science. Molecular scientists are hailing the breakthrough accuracy of deep learning approaches like AlphaFold and RoseTTAFold in identifying the most probable structures for proteins from… Read More »Microsoft AI Research Introduce a Novel Deep Learning Framework Called Distributional Graphormer (DiG) to Predict the Equilibrium Distribution of Molecular Systems. Dhanshree Shripad Shenwai Artificial Intelligence Category – MarkTechPost

​ For various downstream tasks, including language and code translation, compositional thinking, and fundamental arithmetic operations, large language models like GPT-3/4, PaLM, and LaMDA have shown general-purpose features, sometimes emergent skills. Perhaps surprisingly, the training objective of the model, which is often an auto-regressive loss… Read More »A New Study from the University of Wisconsin Investigates How Small Transformers Trained from Random Initialization can Efficiently Learn Arithmetic Operations Using the Next Token Prediction Objective Aneesh Tickoo Artificial Intelligence Category – MarkTechPost

​ The remarkable performance of language models (LMs) suggests that large-scale next-word prediction could effectively distill knowledge from text corpora into interactive agents. LMs have achieved impressive results on various natural language processing benchmarks, surpassing state-of-the-art methods and even outperforming humans in tasks requiring complex… Read More »This AI Paper Evaluates LLMs’ Ability to Adapt to New Variants of Existing Tasks Niharika Singh Artificial Intelligence Category – MarkTechPost

​ Advances in Deep Learning Methodologies are greatly impacting the Artificial Intelligence community. With some great innovations and developments, a number of tasks are getting easier. Deep Learning techniques are being widely used in almost every industry, be it healthcare, social media, engineering, finance, or… Read More »Meet DeepOnto: A Python Package for Ontology Engineering with Deep Learning Tanya Malhotra Artificial Intelligence Category – MarkTechPost

​ The recent couple of years were full of eureka moments for various disciplines. We have witnessed revolutionary methods emerging that resulted in colossal advancements. It was ChatGPT for language models, stable diffusion for generative models, and neural radiance fields (NeRF) for computer graphics and… Read More »The Magic Brush That Works in 3D: Blended-NeRF is an AI Model That Does Zero-Shot Object Generation in Neural Radiance Fields Ekrem Çetinkaya Artificial Intelligence Category – MarkTechPost

​ A crack NVIDIA team of five machine learning experts spread across four continents won all three tasks in a hotly contested, prestigious competition to build state-of-the-art recommendation systems. The results reflect the group’s savvy applying the NVIDIA AI platform to real-world challenges for these… Read More »Score! Team NVIDIA Takes Trophy in Recommendation Systems Rick Merritt – Archives Page 1 | NVIDIA Blog

​ Startup MosaicML is on a mission to help the AI community improve prediction accuracy, decrease costs and save time by providing tools for easy training and deployment of large AI models. In this episode of NVIDIA’s AI Podcast, host Noah Kravitz speaks with MosaicML… Read More »MosaicML Helps AI Users Boost Accuracy, Cut Costs and Save Time Brian Caulfield – Archives Page 1 | NVIDIA Blog