Generative AI and large language models dominated enterprise trends this year, with companies like Amdocs, Dropbox, and SAP building customized applications using RAG and LLMs. Open-source pretrained models are set to revolutionize businesses' operational strategies, while off-the-shelf AI and microservices make it easier for developers to create complex applications.
The article explores common data clustering techniques, with a focus on spectral clustering. Using k-means to compute cluster labels from eigenvectors is found to be the best approach, despite variations and complexities.