Small Specialized Models Are Eating the AI Stack (While Everyone Watches Frontier LLMs)

This story was originally published on HackerNoon at: https://hackernoon.com/small-specialized-models-are-eating-the-ai-stack-while-everyone-watches-frontier-llms. Everyone's watching the frontier models, but the real work in your AI agent happens in the small stuff. Here's why that's actually good news. Check more stories related to machine-learning at: https://hackernoon.com/c/machine-learning. You can also check exclusive content about #small-language-models, #open-source-ai, #llm-inference, #retrieval-augmented-generation, #ai-agents, #gpu-optimization, #superlinked, #good-company, and more. This story was written by: @merry-n-proprietary. Learn more about this writer by checking @merry-n-proprietary's about page, and for more stories, please visit hackernoon.com. TL;DR: Small, specialized models—not frontier LLMs—handle most of an agent's work (embedding, reranking, extraction) at ~97% of the quality for a fraction of the cost. The real challenge is serving many small models efficiently, which tools like SIE solve by sharing GPUs instead of dedicating one per model.