The process of converting vast libraries of text into numerical representations known as embeddings is essential for generative AI. Various technologies—from…
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…