What is the difference between a CPU and a GPU? What exactly is RAG? And why does everyone suddenly talk about tokens, fine-tuning and Kubernetes?
You do not need to be an AI engineer to encounter these terms. As AI becomes part of more organisations, technical concepts increasingly appear in everyday meetings and discussions.
Our HPC-AI Expert Daniel Medeiros has therefore written The marvelous guide of supercomputing and AI. It offers an accessible introduction to the technology behind modern AI.
The idea is simple: help you understand the most important concepts in around 30 minutes.
From supercomputers to LLMs
The guide starts with the fundamentals of computer systems. It explains CPUs, GPUs, memory and how supercomputers differ from ordinary computers.
It then introduces artificial intelligence and machine learning. Readers can explore neural networks, large language models, quantization and generative AI.
The guide also explains common ways to customise an LLM. These include fine-tuning, retrieval-augmented generation (RAG) and prompt engineering.
Understanding the wider AI stack
AI development does not stop with the model.
The final part introduces cloud computing, virtual machines, containers and Kubernetes. It also covers topics such as GDPR, the EU AI Act and trustworthy AI.
The guide is intended for anyone who works around AI but does not necessarily develop it themselves.
Read The marvelous guide of supercomputing and AI and get up to speed before your next technical meeting.