Choosing the right large language model can feel overwhelming with so many options out there, especially if you’re not exactly living and breathing AIChoosing the right large language model can feel overwhelming with so many options out there, especially if you’re not exactly living and breathing AI But as we’ve worked through each one, we’ve gotten a real sense of what they’re good at (and where they fall short). So, let’s talk about what to use, when. ChatGPT & OpenAI-o1: The Reliable All-Rounders Let’s start with ChatGPT and OpenAI-o1. OpenAI’s latest model is impressive, and people are hyped about its “reasoning” abilities — basically, it’s designed to tackle more logic-heavy stuff alongside the creative tasks that ChatGPT has always been great at. Why We Like It Big on Logic: OpenAI-o1 uses something called chain-of-thought reasoning. In simpler terms, it’s better at walking through complex problems step by step. Custom GPTs: This feature lets us create models that remember instructions specific to our work. If we need it to think like a project manager or a social media assistant, we can set that up with just a few clicks. Where It Falls Short Overkill for Basic Stuff: Most of the time,
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