Big models, tight budgets? No problem. In this episode of Pop Goes the Stack, #F5's Lori MacVittie and Joel Moses talk with Dmitry Kit from F5's #AI Center of Excellence about LoRA (Low-Rank Adaptation), the not-so-secret weapon for customizing LLMs without melting your GPU or your wallet. From role-specific agents to domain-aware behavior, we break down how #LoRA lets you inject intelligence without retraining the entire brain. Whether you're building AI for IT ops, customer support, or anything in between, this is fine-tuning that actually scales. Learn about the benefits, risks, and practical applications of using LoRA to target specific model behavior, reduce latency, and optimize performance, all for under $1,000. Tune in to understand how LoRA can revolutionize your approach to AI and machine learning. Chapters: 00:00 Welcome to Pop Goes the Stack 00:36 Understanding Low Rank Adaptation (LoRA) 01:31 Fine-Tuning vs. LoRA: Benefits and Drawbacks 03:50 How LoRA Works: Technical Deep Dive 06:21 Practical Applications of LoRA 09:45 Cost and Efficiency of LoRA 15:27 Future Applications 17:32 Key Takeaways Learn how you can stay ahead of the curve and keep your stack whole with additional insights on app security, #multicloud, AI, and emerging tech: https://go.f5.net/ts0snmvm More about F5: https://go.f5.net/m8k10h1f Read our blog: https://go.f5.net/1gof3tio Follow us on LinkedIn: https://go.f5.net/acki7hhh

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