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SLM-First Architecture: Model Routing for Cost, Latency, and Control
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 benefits
Whether you're building enterprise AI apps or scaling internal tools, this episode breaks down how to do more with less—without compromising quality.
View all episodes
By KoombeaAIAre 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 benefits
Whether you're building enterprise AI apps or scaling internal tools, this episode breaks down how to do more with less—without compromising quality.