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Evolution of Embeddings and AI Technologies
The chapter explores the rapid advancements in embeddings and AI technologies from 2017 to 2020, highlighting the evolution of language embeddings with models like Bird and Roberta. It delves into the importance of experimenting with various embeddings and the challenges of fine-tuning models for specific tasks. The speakers emphasize the significance of optimized tools for handling vector data efficiently compared to traditional keyword search engines.