AutoML vs. LLMs: A Developer’s Guide to Efficient ML Pipeline Generation

Source: DZone DevOps

Overview

In the current AI landscape, the hype cycle is undeniably focused on large language models (LLMs). From code generation to reasoning, models like GPT‑4 and Llama 3 have transformed how we interact with data. However, for machine learning (ML) engineers tasked with building robust, production‑grade pipelines, the story doesn’t end with LLMs alone.