[00:00:00] Intro and discussion on information retrieval [00:00:36] Sadie welcomes Harpreet, discussing his achievements and connections [00:01:46] Early interactions and courses between Harpreet and Sadie [00:02:27] Updates on Sadie's SQL course and new roles [00:03:42] Harpreet discusses following curiosity in his career and AI's growth [00:06:55] Future of data science roles and specialization within the field [00:09:40] Unique skills of data scientists and transition to deep learning [00:15:23] Discussion on benchmarks, datasets, and introduction to retrieval augmented generation (RAG) [00:20:16] Explanation and potential applications of RAG models [00:24:09] AI applications in various industries and predictions for future AI integration [00:29:02] Harpreet's personal productivity gains from AI and new tools enhancing workflows [00:34:58] Harpreet's podcast impact on his career and future plans [00:40:44] Recommendations for staying updated in deep learning [00:45:36] Harpreet invites listeners to join his new research initiative --- Support this podcast: https://podcasters.spotify.com/pod/show/women-in-data/support