Benchmarking AI Workloads on Intel Xeon with AMX: Best Practices and Performance Insights

InformationalInfrastructureTechnology

Introduction Artificial Intelligence (AI) workloads increasingly depend on robust computational resources, and Intel Xeon processors present an attractive solution for both training and inference. The introduction of Advanced Matrix Extensions (AMX) in Intel Xeon has significantly enhanced AI acceleration, especially for deep learning, natural language processing, and high-performance computing applications. Accurate benchmarking of these workloads […]

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Why RAG is Important vs Fine-Tuning and Training

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FutureGeneralHealthcareHuman ResourcesInformationalInfrastructureRecruitmentSecuritySocietyTechnology

In the swiftly changing realm of artificial intelligence, companies are pursuing the most effective methods to optimise Large Language Models (LLMs) for their specific needs. Although conventional techniques like fine-tuning and comprehensive training are prevalent, Retrieval-Augmented Generation (RAG) is developing as a more efficient and pragmatic alternative. This essay will examine the significance of RAG, […]

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Understanding Human-Generated Data and Synthetic Data in AI Applications

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FutureGeneralHealthcareHuman ResourcesInformationalRecruitmentSecuritySocietyTechnology

Data plays a crucial role in the advancement and efficacy of machine learning models within the ever-changing field of artificial intelligence (AI). There are two main categories of data that drive these advancements: human-generated data and synthetic data. Every type possesses distinct qualities, uses, advantages, and disadvantages. This article examines these distinctions, investigating the consequences […]

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Unleashing the Power of Neuromorphic Computing: Intel Loihi Chips Revolutionize AI and ML

InfrastructureTechnology

In recent years, Artificial Intelligence (AI) and Machine Learning (ML) have become the primary drivers of technological progress. They have paved the way for revolutionary innovations in a variety of fields, including healthcare, finance, and transportation, to name a few. As AI and ML continue to develop, so too does the supporting hardware. The Intel […]

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