LLMs Are Useless Without This – Prompt Evaluations Explained 🧠
AI Summary
In this video from the mini-series on AI QA engineering, the presenter elaborates on the importance of evaluating large language models (LLMs) as applications built using AI are rapidly evolving. The video highlights the essential aspects of evaluation, known as ‘eval’, and how it helps developers improve the performance of their models. Key points discussed include the iterative nature of prompt evaluations, the significance of crafting effective test cases, and various evaluation methods such as human-based grading, code-based evaluation, and using another LLM as a judge for model output. The video emphasizes that thorough evaluation not only enhances model accuracy but also achieves cost savings by reducing post-deployment fixes. The presenter encourages viewers to explore related courses for further learning on deploying and evaluating AI applications thoroughly.