The surge of AI in general — and large language models (LLMs) in particular — is thanks to numerous research groups and companies racing to develop their most advanced models and demonstrate their potential use cases across broad domains.
Kernel methods are a powerful class of machine learning algorithm that allow us to perform complex, non-linear transformations of data without explicitly computing the transformed feature space.
Machine learning continues to provide benefits of all sorts that have become integrated within society, meaning that a career in machine learning will only become more important with time.
Retrieval augmented generation (RAG) has become a vital technique in contemporary AI systems, allowing large language models (LLMs) to integrate external data in real time.
