Fast, Cheap Testing
Jason emphasizes the need for rapid and inexpensive testing methods to encourage frequent evaluations after code changes. He highlights the challenges of data literacy among new engineers, noting that many struggle to define what constitutes a good dataset. The conversation reveals the complexities of model accuracy and the importance of understanding when to pivot or retry in the data science process.In this clip
From this podcast
The TWIML AI Podcast (formerly This Week in Machine Learning & Artificial Intelligence)
Why Your RAG Pipeline Is Broken, and How to Fix It with Jason Liu - 709
Related Questions
Is data quality overlooked in machine learning in the episode Why Your RAG Pipeline Is Broken, and How to Fix It with Jason Liu - 709 and the clip Fast, Cheap Testing?
Is data quality overlooked in machine learning in the episode Why Your RAG Pipeline Is Broken, and How to Fix It with Jason Liu - 709 and the clip Fast, Cheap Testing?
What are the challenges in machine learning discussed in the episode Why Your RAG Pipeline Is Broken, and How to Fix It with Jason Liu - 709 and the clip Fast, Cheap Testing?