AI Papers to Read in 2025
This article offers curated reading recommendations to keep you informed on both classic and recent advances in AI and Data Science. Returning to Towards Data Science, the author revives a popular series focused on insightful AI papers.
About the Series
Long-term readers may remember the previous four editions. The series aims not to list cutting-edge models but to highlight meaningful research that shapes AI’s future. It encourages critical thinking about the current AI landscape.
Content Overview
- Ten selected papers with concise summaries explaining their significance.
- Each paper includes additional reading suggestions for deeper exploration.
Author’s Perspective
“We don’t need larger models; we need solutions,” the author declared in 2022, adding, “do not expect me to suggest GPT nonsense here.”
Though initially skeptical about newer GPT models being revolutionary, the author acknowledges giving credit where it's due.
Reading Approach
This list is deliberately opinionated, blending perspectives and tangents to provide a broad understanding beyond mere technical details.
Purpose
The goal is to help readers identify important trends and overlooked insights rather than chase the latest hype.
"This is not a state-of-the-art models list, but real insights on what to look for in the coming years and what you might have missed from the past."Would you like the summary to be more formal or casual?