Prompting Challenges
Shreya emphasizes the rapid pace of developing prompts in MLOps, which can lead to overlooked quality control and software engineering practices. She highlights the low barrier to entry for creating models, yet warns that many lack the necessary expertise to ensure effective long-term outputs. Additionally, she points out that issues like hallucinations often stem from user interaction rather than the model itself.In this clip
From this podcast
The Gradient
Shreya Shankar: Machine Learning in the Real World
Related Questions
How are prompts used in AI models as discussed in the episode Treating Prompt Engineering More Like Code // Maxime Beauchemin // MLOOps Podcast #167 and the clip Enhancing MLOps Analytics?
How are prompts used in AI models as discussed in the episode Treating Prompt Engineering More Like Code // Maxime Beauchemin // MLOps Podcast #167 and the clip Enhancing MLOps Analytics?
How are prompts used in AI models as discussed in the episode Treating Prompt Engineering More Like Code // Maxime Beauchemain // MLOps Podcast #167 and the clip The Future of LLMs?