Embeddings transform raw data into meaningful vectors, revolutionizing how AI systems understand and process language,” notes industry expert Frank Liu. These are the cornerstone of large language models (LLM) which are trained on vast datasets, including books, articles, websites, and social media posts. By learning the intricate statistical relationships between words, phrases, and sentences, LLMs … Continue reading Demystifying Embeddings 101: The Foundation of Large Language Models