LLM Ops Podcast Summaries
LLM Ops on Yedapo: 2 summarized podcast and YouTube episodes. Each includes key takeaways, core concepts and notable quotes with timestamps.
66 - Scaling LLMOps | Avi Lumelsky (Oligo)
LangTalks
Apr 12, 2026
Deploying LLMs at massive scale requires moving beyond naive experimentation to deterministic, cost-optimized pipelines. Avi Lomilsky explains how to balance latency and expense using strategic context engineering, caching, and model selection.
Key insight: By utilizing prompt caching and cross-region inference, companies can bypass rate limits and significantly reduce costs for real-time cybersecurity detection at scale.
How to Become an AI Engineer Fast
Tech With Tim
Mar 20, 2026
Tim reveals that breaking into AI engineering isn't about mastering complex research math, but mastering API orchestration and RAG. He argues that the real industry value lies in LLM Ops—managing rate limits and costs—rather than just building surface-level demos.
Key insight: Passive learning like watching tutorials only yields 20% retention, while active coding jumps that figure to a staggering 90%.