Fine-tuning models like Llama offers fast inference and effective performance, but challenges arise with larger models in answer generation. As context length increases, the complexity of instructions will evolve, yet trade-offs between latency and business outcomes remain critical. Even slight delays can significantly impact revenue, highlighting the delicate balance between context utilization and system performance.
