Vector Databases, Embeddings, and a history of Deep Learning with Leo Dirac

On the newest episode of Practically Intelligent, Sinan and Akshay discuss all the hype behind vector databases and the future of how developers will work with embeddings. We also dissect how to compare different vector database options available on the market today. Congrats to Weavite, Pinecone, Qdrant and Chroma on their funding rounds!!We also have Leo Dirac, founder and CEO of Groundlight.AI - who was formerly the Engineering Lead behind Deep Learning at AWS. We take a walk through history with some key takeaways for builders and observers of the AI/ML space and talk about Leo's new - Why Deep Learning Caught the ML World by Storm - How many leading scientists and researchers underestimated the impact of novel DL on the category- How handling escalation of errors is a critical obstacle to computer vision fulfilling its potential- How Groundlight can help simplify computer vision for engineering leadersTimestamps3:30: Why are Vector Databases So Important? 09:40: How do you compare different Vector Database if you're a developer? 22:10: Guest Leo Dirac, a History of Deep Learning at AWS and AutoML39:17: Fine-Tuning as the New AutoML 43:00: What is GroundLight.AI and Human Escalation in Computer Vision