Are massive language models overkill for simple AI tasks?In this episode, we explore the SLM-First architecture—a smarter, cost-effective approach that routes most queries to small, specialized models (SLMs), and only escalates to larger LLMs when necessary.What You’ll Learn:✅ Why using giant LLMs for every task is expensive and inefficient✅ How SLMs reduce latency, cost, and environmental impact✅ When and why to escalate to larger models✅ The tools, strategies, and guardrails that make SLM-first practical today✅ Real-world savings, performance metrics, and governance benefitsWhether you're building enterprise AI apps or scaling internal tools, this episode breaks down how to do more with less—without compromising quality.
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