Super Data Science: ML & AI Podcast with Jon Krohn
792: In Case You Missed It in May 2024
Jun 14, 2024
Navdeep Martin leads a company tackling the climate crisis. Sol Rashidi and Demetrios Brinkmann stress the importance of job titles in fast-paced tech industries. Luis Serrano shares the latest insights on embeddings.
22:42
AI Summary
AI Chapters
Episode notes
Podcast summary created with Snipd AI
Quick takeaways
- Embeddings play a crucial role in facilitating semantic search by mapping words to numbers in detail.
- Data engineers ensure effective data management, enabling data scientists to focus on modeling.
Deep dives
Understanding Embeddings and Semantic Search
Embeddings play a crucial role in turning text into numbers, enabling better language models like LLMs. Luis Serrano explains that embeddings map words to numbers in a detailed way, facilitating semantic search by grouping similar words together. Semantic search surpasses keyword search by locating contextually relevant information in the high-dimensional space created by embeddings.
Remember Everything You Learn from Podcasts
Save insights instantly, chat with episodes, and build lasting knowledge - all powered by AI.
