The process of converting vast libraries of text into numerical representations known as embeddings is essential for generative AI. Various technologies—from semantic search and recommendation engines to retrieval-augmented generation (RAG)—depend on embeddings to transform data so LLMs and other models can understand and process it.  Yet generating embeddings for millions or billions of documents requires … Continue reading Serverless Distributed Data Processing with Apache Spark and NVIDIA AI on Azure