The AI Power User’s Dilemma: Less is More
If your AI strategy involves using large language models everywhere, you’re doing it wrong.
Becoming an AI power user isn't about wielding the biggest models or throwing more resources at a problem. Instead, it's about understanding the true potential and limitations of AI, particularly large language models (LLMs).
Successful AI applications focus on minimizing LLM usage, finding that “Goldilocks Zone” where AI enhances productivity without overwhelming the system. The key lies in strategies like human-in-the-loop approaches, tool calling, and agent frameworks that allow AI to complement human decision-making rather than replace it.
Small, focused models are increasingly proving their worth over larger, more generalized ones, offering efficiency with less computational overhead. As AI continues to evolve, the true power lies not in how much AI you use, but in how wisely you deploy it. Are you ready to shift from magical thinking to practical implementation and truly become the AI adult in the room?
Read the full article on The New Stack.
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