When you’re ready to bring an LLM into your workflow, there are a few things to think about. Here’s a handy checklist to guide you through the process:
| Factor | Why It Matters |
|---|---|
| Purpose | Define your goal. Are you using LLMs for content creation, data insights, or customer support? |
| Data Requirements | Make sure you have the data you need for your LLM to perform well—more data often means better accuracy. |
| Budget | Proprietary models like GPT-4 have subscription costs. Open-source options might be free, but require setup. |
| Ease of Use | Proprietary models like ChatGPT are easy to set up, while open-source models give more control but require tech skills. |
| Privacy Needs | Some models handle data locally, while others process it on external servers. Consider what fits your security needs. |
Think of choosing an LLM like picking a car—consider what’s under the hood, the fuel economy, and how it drives before making your decision!