As large language models (LLMs) gain mainstream, they are pushing the edges on AI-driven applications, adding more power and complexity. Running these massive models, however, comes at a price. The high costs and latency associated with them make them impractical for many real-world scenarios. Enter model distillation. A technique AI engineers are using to pack…
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