<p>However, what a lot of people don't understand is that LLMs are just large mathematical functions; while they're perfectly capable of doing the menial grudge work of programming, they're not able to take a step back and architect a large project from scratch. </p>

<p>Being a professional in a software field isn't nessecarily about being able to memorize every tidbit of syntax or know how to implement every specific algorithm; it's about understanding how things tie together at a larger level. And that's where human involvement is still very much needed. AI will never be able to replace the people making executive decisions; the risk of it blowing up is just far too high and doesn't make sense at all from a financial perspective.</p>

<p>And understanding how to use LLMs effectively isn't just a good skill to have in today's market; it's absolutely <em>essential</em> to have a future as a high-level junior software developer. (Obviously, if you're going into high-risk fields like finance or operating systems development, your job is a lot more secure because of how important that code functioning is to society).</p>

<p style='text-align:center'>how a basic neural network works; it's just math!</p>

<h2>Prompt engineering</h2>