The 2025 AI Engineering Reading List
A curated list of ~50 essential AI engineering papers for 2025, selected for practical relevance to working AI engineers.
The 2025 AI Engineering Reading List
latent.spaceWe picked 50 paper/models/blogs across 10 fields in AI Eng: LLMs, Benchmarks, Prompting, RAG, Agents, CodeGen, Vision, Voice, Diffusion, Finetuning. If you're starting from scratch, start here.
My AI Learning Materials and News Feeds (Updated)
Forewords This is the 3rd time updating the lists, where I added a section of Prompt Engineering upon requests since it is a good starting point for those not into self-hosting nor theory. The term “Prompt Engineering” is a bit controversial but people will get better understanding after learning the listed materials. As a lifelong self-learner, I use all sorts of methods to learn new things, and AI is what I’m currently into. Although I’ve been using AI tools since 2022, my background wasn’t focused on AI. So, like everyone else, I had to do some “AI For Dummies” level study in order to get more involved. Below is a list of learning materials that I find very helpful for myself to get started with and might also be helpful for someone else in the same situation.
2025 AI Engineer Reading List | Tom Hipwell
Learning in the open | Tom Hipwell
Getting started with language models in 2025
A road map for 2025 and some thoughts on how to get started
Notes on 'The 2025 AI Engineer Reading list' - Foundational models
The following are loose notes while going through the papers in The 2025 AI Engineer Reading listThey are personal notes and are not refined for an external ...