A Deep Dive Large Language Models (LLMs) have rapidly moved from academic research to the forefront of technological innovation, reshaping how we interact with information, create content, and automate complex tasks. These sophisticated artificial intelligence models, trained on vast amounts of text data, possess an uncanny ability to understand, generate, and manipulate human language with…
A recent survey by Forbes indicated that many Americans still trust humans over AI by a large percentage. Those surveyed shared that they think people would do a better job of administering medicine, writing laws, and even choosing gifts, just to name a few. The faculty in the College of Engineering have their own opinions based on…
The process of training an ML model involves providing an ML algorithm (that is, the learning algorithm) with training data to learn from. The term ML model refers to the model artifact that is created by the training process. The training data must contain the correct answer, which is known as a target or target attribute. The learning algorithm finds patterns…
A transformer model is a neural network that learns context and thus meaning by tracking relationships in sequential data like the words in this sentence. Transformer models apply an evolving set of mathematical techniques, called attention or self-attention, to detect subtle ways even distant data elements in a series influence and depend on each other….
Over the past couple of years, the world has marveled at the capabilities and possibilities unleashed by generative AI (gen AI). Foundation models such as large language models (LLMs) can perform impressive feats, extracting insights and generating content across numerous mediums, such as text, audio, images, and video. But the next stage of gen AI…
Features in chips, systems and software make NVIDIA GPUs ideal for machine learning with performance and efficiency enjoyed by millions. GPUs are the dominant computing platform for accelerating machine learning workloads, and most (if not all) of the biggest models over the last five years have been trained on GPUs … [they have] thereby centrally…
How often do you now casually converse with a black (or white) box of some sort? Natural language processing (NLP) has become an integral part of our daily lives: Whether we’re asking our smartphone for directions or engaging with Alexa or Google, NLP and its sub-categories are hard at work behind the scenes, translating our…
Until recently, the conventional wisdom was that while AI was better than humans at data-driven decision making tasks, it was still inferior to humans for cognitive and creative ones. But in the past two years language-based AI has advanced by leaps and bounds, changing common notions of what this technology can do. The most visible…
AI has permeated our lives incrementally, through everything from the tech powering our smartphones to autonomous-driving features on cars to the tools retailers use to surprise and delight consumers. As a result, its progress has been almost imperceptible. Clear milestones, such as when AlphaGo, an AI-based program developed by DeepMind, defeated a world champion Go…
Organizations are already seeing material benefits from gen AI use, reporting both cost decreases and revenue jumps in the business units deploying the technology. The survey also provides insights into the kinds of risks presented by gen AI—most notably, inaccuracy—as well as the emerging practices of top performers to mitigate those challenges and capture value….
