Feb 9
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Representation learning is the hidden foundation behind search, recommendation, and language models in production AI systems. This video explains embeddings from an industry and career-growth perspective—without hype or theory overload. 📌 Timestamps (Major Topics Only) 00:00:00 — Why representation learning is core to production AI 00:02:42 — From one-hot encodings to dense embeddings 00:03:38 — Contextual embeddings and real-world trade-offs 00:04:15 — Self-supervised learning in industry systems 00:04:50 — Contrastive learning and embedding geometry 00:06:05 — Metric learning and similarity-based systems 00:06:31 — Using t-SNE and UMAP correctly 00:07:03 — Knowledge distillation for embeddings 00:07:38 — Evaluating embeddings in production 00:08:09 — Embedding-based retrieval at scale 00:08:31 — Efficiency, quantization, and deployment realities 00:08:58 — Representation learning as a long-term career skill