Artificial Intelligence
-
Unlocking Semantic Search with Vector Embeddings
How Machines Understand Meaning — And How You Can Use It for Smarter Search 1. Introduction: Why Do We Need Embeddings? Traditional search engines rely on keyword matching. If your search query includes the words “best pizza,” it looks for documents with those exact words. But what if a document talks about “top-rated Italian food” Continue reading
-
Why Prompt Engineering Isn’t a Reliable Skill
Prompt engineering is tweaking inputs to get desired outputs from AI models like ChatGPT. It’s not engineering—it’s trial and error. Why Prompt Engineering Falls Short: 1. No Foundational Principles: Unlike engineering, it lacks structured techniques or frameworks. It’s about guessing, not systematic problem-solving. 2. Unpredictable and Non-Reproducible: A prompt that works today can fail tomorrow. Continue reading
Umamaheswaran 