Explores methods to improve chatbots and LLMs, especially in the medical domain, through prompt engineering and model fine-tuning. Compares different setups including simple LLMs, LLMs with prompt engineering, and fine-tuned medical-specific models like Meditron. Highlights the importance of fine-tuning for achieving correct and concise answers in specialized fields.
Table of contents
Casual steps for improving chatbotsMedical domain characteristicCompared setupsResultsConciseness of answerConclusionsSort: