# Four LLM Engineering Tracks: Prompt Engineering, RAG, Fine-Tuning, and Model Pre-Training

DevFeed: [Four LLM Engineering Tracks: Prompt Engineering, RAG, Fine-Tuning, and Model Pre-Training](<https://devfeed.tech/articles/4-main-llm-engineering-levels-which-one-should-you-choose-39158.md>)

Original publisher: [Read original article](<https://merinova.substack.com/p/4-main-llm-engineering-levels-which>)

Author: Meri Nova

Published: 2024-09-12T21:47:45Z

Content type: article

Language: en

Sources: [Meri Nova](<https://devfeed.tech/sources/meri-nova.md>)

Topics: [Large Language Model](<https://devfeed.tech/topics/llm.md>), [Prompt Engineering](<https://devfeed.tech/topics/prompt-engineering.md>), [Retrieval Augmented Generation (RAG)](<https://devfeed.tech/topics/retrieval-augmented-generation-rag.md>), [Development](<https://devfeed.tech/topics/development.md>), [Fine-tuning](<https://devfeed.tech/topics/fine-tuning.md>), [Machine Learning & Artificial Intelligence](<https://devfeed.tech/topics/machine-learning-artificial-intelligence.md>)

Tags: [engineering](<https://devfeed.tech/tags/engineering.md>), [fine-tuning](<https://devfeed.tech/tags/fine-tuning.md>), [generative-ai](<https://devfeed.tech/tags/generative-ai.md>), [llm](<https://devfeed.tech/tags/llm.md>), [machine-learning](<https://devfeed.tech/tags/machine-learning.md>), [ml](<https://devfeed.tech/tags/ml.md>), [prompt-engineering](<https://devfeed.tech/tags/prompt-engineering.md>), [rag](<https://devfeed.tech/tags/rag.md>)

## AI overview

The article presents four LLM engineering tracks and discusses their technical limitations, business opportunities, and implications for ML careers. It introduces a progression from prompt engineering and RAG to fine-tuning and pre-training models from scratch.

## Source excerpt

Learn about 4 unspoken levels of LLM engineering and how it impacts your ML career. Choose your roadmap from Prompt Engineering and RAG to pre-training models from scratch.