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CanalUnsupervised Learning: With Jacob EffronTemaGeneración aumentada por recuperaciónDuraciónMás de 30 min
1:36:57EN
Unsupervised Learning: With Jacob EffronPódcastDo the Dumb Thing First: A CTO's Playbook for Building an AI Coding AssistantPresenta: Jacob EffronSourcegraph CTO Beyang Liu on which AI coding features actually earn daily use, how new models get shipped and evaluated, and why retrieval is still a search problem.
57:25ENUnsupervised Learning: With Jacob EffronPódcastFrom RAG to Reasoning: Why the Future of AI Is a System, Not a ModelPresenta: Jacob EffronDouwe Kiela explains what OpenAI's o1 reveals about test-time compute, why enterprise AI must be specialized, and where post-training and evaluations are heading.
51:55ENUnsupervised Learning: With Jacob EffronPódcastThe Search Engine Under AI Apps: Why Bigger Context Windows Aren't EnoughPresenta: Jacob EffronTurbopuffer CEO Simon on object-storage databases, vector-search trade-offs, and the AI features that will become SaaS table stakes.
46:48ENUnsupervised Learning: With Jacob EffronPódcastSnowflake's AI Stack: Small Models, the Text-to-SQL Iceberg, and Why Governance Comes FirstPresenta: Jacob EffronSnowflake head of AI Baris Gekken explains how Arctic and Cortex were built, where enterprise AI actually works today, and why precision, governance and evaluation matter more than raw model capability.
1:06:22ENUnsupervised Learning: With Jacob EffronPódcastPerplexity's Bet: Search Becomes Answers, and Answers Become a BusinessPresenta: Jacob EffronThe Perplexity CEO explains how a consumer AI search product is built, sequenced, and defended against Google.
1:01:13ENUnsupervised Learning: With Jacob EffronPódcastPinecone's Vector Database Bet: Scaling Through the ChatGPT TsunamiPresenta: Jacob EffronEdo Liberty explains how Pinecone scaled through the generative AI boom, why vector search is more than a database add-on, and where he sees the next AI infrastructure shifts.