Full Title: What I’ve Learned About Writing AI Apps So Far | Seldo.com
Category: #articles
Summary: The author shares insights on developing AI applications, specifically focusing on large language models (LLMs). LLMs excel at summarizing large amounts of text into shorter forms but struggle with tasks that require generating more text or replacing human judgment. While LLMs can enhance human efforts, they have clear limitations and should not be viewed as replacements for professionals like doctors or lawyers.
LLMs are awesome and limited
Depending how much of the hype around AI you've taken on board, the idea that they "take text and turn it into less text" might seem gigantic back-pedal away from previous claims of what AI can do. But taking text and turning it into less text is still an enormous field of endeavour, and a huge market. It's still very exciting, all the more exciting because it's got clear boundaries and isn't hype-driven over-reaching, or dependent on LLMs overnight becoming way better than they currently are. Take a look at the possibilities, find something that fits within these boundaries, and then have fun with it. (View Highlight)