The future of software development: LLM Developers
Software engineers vs. ML engineers vs. prompt engineers vs. LLM developers... all explained
Software engineers vs. ML engineers vs. prompt engineers vs. LLM developers... What’s the Difference?
The rise of large language models (LLMs) isn’t just about technology; it’s also about people. As AI advances, new roles and skills are emerging to harness its full potential. Among them, LLM Developers play a crucial role, sitting at the intersection of software development, machine learning engineering, and prompt engineering.
But what exactly does an LLM Developer do? How do they differ from Software Engineers, Machine Learning Engineers, and Prompt Engineers? Understanding these distinctions is essential for anyone looking to stay ahead in the rapidly evolving AI landscape.
Let’s break down these roles, their responsibilities, and why LLM development is becoming one of the most in-demand skills in AI.
Watch the video (or written article here):
And check out our new "8-hour Generative AI Primer for Software Professionals" course! In 8 hours, we show you everything from Prompting with ChatGPT to developing custom LLM pipelines (language agnostic, no need to know Python or a specific programming language).
Here's what's inside...
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