{"type":"video","version":"1.0","html":"<iframe src=\"https://www.loom.com/embed/45dbb0f182194f0e81321c38497d1766\" frameborder=\"0\" width=\"1554\" height=\"1165\" webkitallowfullscreen mozallowfullscreen allowfullscreen></iframe>","height":1165,"width":1554,"provider_name":"Loom","provider_url":"https://www.loom.com","thumbnail_height":1165,"thumbnail_width":1554,"thumbnail_url":"https://cdn.loom.com/sessions/thumbnails/45dbb0f182194f0e81321c38497d1766-1709187754903.gif","duration":692.411,"title":"Testing and Evaluating LLM Applications","description":"In this video, I will show you a good practice to test and evaluate your LLM application. By comparing the cosine distance metric to the referenced output, along with a table and a figure, you will be able to set up tests and generate a summarization report. I will demonstrate how to evaluate and test functions, use pytest and its plugins, save test execution bytes into a dataframe, and do post-processing to analyze and generate reports. No action is requested from viewers, but this information will help you understand the process better."}