#45 Is Prompting a Future-Proof Skill?

Author(s): Towards AI Editorial Team

Originally published on Towards AI.

Good morning, AI enthusiasts! Over the past few months, we have discussed the AI engineer’s toolkit for building reliable LLM products multiple times. We believe that combining RAG, prompting, and fine-tuning will be key to developing scalable solutions with generative AI. As LLMs evolve, the implementation of these techniques will also change, but we believe the fundamentals will remain relevant for a long time, and that’s why we wrote ‘Building LLMs for Production’ as a foundational resource for teaching the core principles of building production products with LLMs.

What’s AI Weekly

This week, in my other newsletter, we explore a timely question: Is prompting a skill we need to master or just a temporary necessity? With the evolution of LLMs, we see a shift in how we interact with these models (i.e., from GPT-3 to GPT-4o and now o1). Prompting is still here, but its complexity may be short-lived. Let’s understand how the landscape is changing and what it means for those of us who work (or interact) with AI daily. Read the full article on Substack!

— Louis-François Bouchard, Towards AI Co-founder & Head of Community

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Published via Towards AI