Part 3/12:
David’s journey with AI started around 2009 with deep neural networks, even before deep learning became mainstream. His early experiments, primarily in C++, aimed to harness neural models for semantic understanding. A pivotal moment came in 2017/2018 when Google released the Universal Sentence Encoder, enabling machines to grasp semantic meaning via numerical vectors. This revealed the potential for translating math into natural language understanding.