30 Features that Dramatically Improve LLM Performance – Part 2

The post explores 10 additional features that significantly enhance LLM performance, particularly in terms of speed, latency, relevancy, memory use, and security. It discusses distillation for concise outputs, reproducibility with PRNGs, explainable AI using few parameters, and the benefits of no-training LLMs. The author also touches on the advantages of transformer-free LLMs, taxonomy-based evaluation, prompt data augmentation, and the importance of backend over frontend engineering. The importance of cautious use of NLP tools to avoid glitches is also highlighted.