In this episode we delve into the world of generative AI with a focus on language modeling. We explore how text is transformed into semantically meaningful data through the use of vector embeddings, providing an in-depth look at the mechanics behind AI models like Open AI’s GPT-3. Discover the complexities of semantic relationships in language, the role of mathematical concepts in AI, and the advancements that make generative AI both powerful and conversational.