To optimize large language models effectively, businesses must go beyond basic fine-tuning and adopt a performance-first, data-driven strategy. Modern AI systems demand faster inference, reduced latency, lower operational costs, and consistently accurate outputs across real-world use cases. By focusing on model architecture refinement, prompt optimization, parameter efficiency, and co... https://thatware.co/large-language-model-optimization/