The podcast discusses the impact of AI on careers, the emergence of the AI Engineer role, and the rise of AI Operations. It explores how non-coders can utilize AI power tools and the challenges in evaluating and productizing AI. It also highlights the importance of AI Operations in integrating AI solutions into organizations.
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Quick takeaways
AI is transforming careers by allowing non-coders to build software through AI-assisted programs, making coding a core use case for LLMs.
AI engineers specialize in implementing and productizing AI software, while AI operations involve driving AI literacy and managing AI efforts for businesses.
Deep dives
The Rise of Novice Coders and AI-assisted Software Development
AI is already transforming careers by allowing non-coders to build software through AI-assisted programs like Microsoft's Power Platform. Companies like Toyota are using Power Apps to fill gaps in their business software. Coding is becoming a core use case for LLMs, with companies focusing on generative AI software development. Code automation combined with natural language is a powerful combination that can lead to more people participating in software development. While AI won't replace software engineers, code incorporation and citizen developers can become more prevalent.
The Emergence of AI Engineers and AI Operations
AI engineers specialize in implementing and productizing AI software, with a focus on applications rather than building underlying models. They are becoming high-demand engineering professionals, creating AI products used by millions without requiring a PhD in machine learning. AI operations, on the other hand, involves driving AI literacy, implementing AI solutions, and managing AI efforts for businesses. This role requires a deep understanding of real-world business problems and the ability to scale operations using AI technologies.
Integrating AI into Business: The Need for AI Operations
AI operations, also known as AI ops, involves putting AI-powered tools and systems into traditional businesses, bridging the gap between the old and new world. AI ops professionals are crucial in helping companies integrate AI technologies into their workflows and operations. This role requires skills in system design, task design, data set design, and prompt design. As businesses increasingly seek AI-powered solutions, AI ops professionals will be in high demand.
On today's episode, NLW explores the ways AI is changing people's career paths. In particular, he examines two entirely new roles -- the AI Engineer and AI Operations -- and what they mean for you.
Links:
https://www.semafor.com/article/10/04/2023/ai-is-spurring-the-rise-of-the-novice-coder
https://www.latent.space/p/ai-engineer
https://twitter.com/karpathy/status/1674873002314563584
https://news.theaiexchange.com/p/premium-defining-ai-operations-new-cohorts-announced
https://twitter.com/rachel_l_woods/status/1684203209475121155/photo/1
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