Generative AI isn't about machines, but about the human data labelers behind them. When you prompt an LLM, you're asking a distilled essence of human input, not a magical AI.
While generative AI is excellent for tasks like software development, its effectiveness diminishes in other areas. Context matters; just because it exists doesn't mean it should be used for everything.
Asking the right questions about generative AI's abilities is crucial. Aligning its use with significant gains rather than succumbing to hype helps identify relevant applications.
More than half of LinkedIn thought leadership posts are AI-generated—indicative that if it's not worth writing, it's not worth reading. Quality must take precedence over quantity.
Collection
[
|
...
]