A short YouTube pro-tip by LARRUZ explaining that large language models (AIs/LLMs) produce better, more relevant ideas when given specific, constrained prompts. The speaker recommends providing extra personal/contextual details and gives an example prompt about finding a lesser-known birdwatching haven in South America; closes with a call-to-action to follow for more tips.
There's tens of thousands of actually useful use cases for ChatGPT, but every advanced user agrees that amongst the top three has to be idea generation. And that's why today I prepared a pro tip for you on how to get the best ideas out of ChatGPT. So what you need to know is that AIs, aka large language models generate better ideas when you give them more specific input. Imagine telling your friend, hey, do you have an idea? It's going to come back either confused or with something random, but if you tell him, hey, do you have an idea for where I should travel next? That is way easier to answer, right? Same thing goes for ChatGPT, but as it doesn't have any information about you, give it even more info than is necessary. So by prompting something more constrained, like I'm looking for a lesser known haven for birdwatchers in South America, these constraints that you impose are going to allow the model to actually unfold its creativity and give you some high quality suggestions that are relevant to you that just results in richer, more nuanced content that actually matters. And if you really internalize this concept, you're going to be using it across all LLMs 247 just because this works so well. Follow the AI Advantage for more tips and tricks just like this.
