Small is the New Big: The Emergence of Efficient, Task-Specific LLMs

For years, the AI conversation has been dominated by massive general-purpose language models like GPT-4, Claude, and Gemini. These models, built on hundreds of billions of parameters, are breathtakingly capable, but also prohibitively expensive, energy-intensive, and often overkill for most …
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