A force multiplier leverages technology to enhance the capabilities and efficiency of human resources. In business terms, this translates to using AI not to eliminate jobs but to free employees from mundane tasks, allowing them to focus on innovation, customer engagement, and complex problem-solving. Three key AI technologies—Large Language Models (LLMs), automation tools, and advanced analytics—are driving this shift.
Quantization is a technique used to reduce the size of machine learning models while maintaining accuracy. This can lead to faster deployment times, lower memory usage, and reduced bandwidth requirements when deploying these models on edge devices or in other resource-constrained environments.
Artificial Intelligence (AI) is a rapidly evolving field that has seen significant advancements in recent years. As AI technology continues to develop and mature, new trends are emerging that are shaping the future of this exciting industry. In this article, we will discuss some of the latest trends in AI that are currently capturing the attention of researchers, developers, and users alike.
The advent of artificial intelligence (AI) has brought about significant changes in various sectors, including the business world. One notable application of AI is deepfakes, which have become an increasingly growing concern for businesses, particularly those adopting remote and hybrid work models. Deepfakes refer to manipulated audio or video content that resembles authentic media, created using advanced machine learning techniques. This article explores why AI deepfake attacks pose an emerging threat in the current business landscape.