Media Summary: Applications developed for the enterprise need to be rigorous, testable, and robust. The same is true for applications that use AI, ... In this video, we talk about Stanford NLP's Can algorithmically optimizing prompts outperform prompt engineering? Resources:
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Applications developed for the enterprise need to be rigorous, testable, and robust. The same is true for applications that use AI, ... In this video, we talk about Stanford NLP's Can algorithmically optimizing prompts outperform prompt engineering? Resources: AGENTIC CODING CLUB [ ⚡ my official community ] ▻ ⚡ Weekly ... Isn't it Time to Transcend the Dark Art of Prompt Engineering? In my humble opinion, standard practice for prompt engineering is ... Kshetrajna Raghavan, a principal engineer from Shopify, walks through how they evolved their approach to extracting structured ...
Large Language Models (LLMs) excel at understanding messy, real-world data, but integrating them into production systems ... Will discuss the principles for building AI software that underpin Prompt engineering doesn't scale—especially when models change, prompts drift, and your “logic” lives inside a giant string.
