The rapid advances in artificial intelligence (AI) as demonstrated by the recent launch of GPT-4 and previously by ChatGPT are generating a great deal of excitement. Artificial intelligence continues to evolve by offering new possibilities in various industries and aspects of human existence, creating numerous debates about its potential impact on our everyday lives and across the global economy. The C-Suite of large organisations in different sectors are actively discussing whether and how such models may be deployed within their organisations, whilst at the same time there has been a rapid adoption of the models by end users. However, Large Language Models (LLMs) using Transformers with the self-attention mechanism is not the only area of AI that is advancing rapidly. Alongside the vast potential of LLMs and the Transformer based approach that underlies it, is also the rise of the AI on the Edge (of the network), across the devices that we interact with in our daily lives.

Intel Deep Learning Boost (Intel DL Boost) brings accelerated performance to demanding workloads, without the need for a discrete add-on accelerator. Built-in accelerators like Intel DL Boost speed up inferencing and training across common AI workloads and offer more flexibility and higher resource utilization than dedicated GPU-based platforms, and only Intel offers x86 data center CPUs with built-in AI accelerators. Access the PDF: Intel DL Boost brings accelerated performance without the need for a discrete add-on accelerator.