Five New AI Hacks For Developers
Since generative AI exploded onto the scene two years ago with the release of ChatGPT, we’ve seen the rise and fall of various creative hacks developers have used to eke out better performance and lower costs from large language models. And over the past few months, I’ve seen a flurry of new tricks and hacks pop up in conversations with developers.
In the past, the hacks have ranged from prompt engineering to leveraging new techniques that give LLMs up-to-date, accurate data to reference in their responses. Here are some of the top ones that have emerged recently:
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