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Software engineers vs. ML engineers vs. prompt engineers vs. LLM developers... all explained
The rise of LLMs isn’t just about technology; it’s also about people. To unlock their full potential, we need a workforce with new skills and roles. This includes LLM Developers, who bridge the gap between software development, machine learning engineering, and prompt engineering.
Let’s compare these roles...
Master LLMs and Get Industry-ready Now: https://academy.towardsai.net/?ref=1f9b29
Our ebook: https://academy.towardsai.net/courses/buildingllmsforproduction?ref=1f9b29
Episode 2/6 of the "From Beginner to Advanced LLM Developer" course by Towards AI (linked above).
This course is specifically designed as a 1 day bootcamp for Software Professionals (language agnostic). It is an efficient introduction to the Generative AI field. We teach the core LLM skills and techniques together with practical tips. This will prepare you to either use LLMs via natural language or to explore documentation for LLM model platforms and frameworks in the programming language of your choice and start developing your own customised LLM projects.
4.2
55 ratings
Software engineers vs. ML engineers vs. prompt engineers vs. LLM developers... all explained
The rise of LLMs isn’t just about technology; it’s also about people. To unlock their full potential, we need a workforce with new skills and roles. This includes LLM Developers, who bridge the gap between software development, machine learning engineering, and prompt engineering.
Let’s compare these roles...
Master LLMs and Get Industry-ready Now: https://academy.towardsai.net/?ref=1f9b29
Our ebook: https://academy.towardsai.net/courses/buildingllmsforproduction?ref=1f9b29
Episode 2/6 of the "From Beginner to Advanced LLM Developer" course by Towards AI (linked above).
This course is specifically designed as a 1 day bootcamp for Software Professionals (language agnostic). It is an efficient introduction to the Generative AI field. We teach the core LLM skills and techniques together with practical tips. This will prepare you to either use LLMs via natural language or to explore documentation for LLM model platforms and frameworks in the programming language of your choice and start developing your own customised LLM projects.
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