The State Of LLMs 2025: Progress, Problems, and Predictions
Read OriginalThis article provides a comprehensive analysis of the state of Large Language Models (LLMs) in 2025. It reviews key advancements like reasoning models (e.g., DeepSeek R1), architectural shifts, inference scaling, and tool use. It discusses trends such as 'benchmaxxing' and the impact of AI on coding and research, while also addressing persistent limitations and offering predictions for 2026's AI landscape.
Comments
No comments yet
Be the first to share your thoughts!
Browser Extension
Get instant access to AllDevBlogs from your browser
Top of the Week
1
The Beautiful Web
Jens Oliver Meiert
•
2 votes
2
When your coding agent doesn’t understand your project, you’ll get junk
Benjamin Cane
•
1 votes
3
LLM Use in the Python Source Code
Miguel Grinberg
•
1 votes
4
Wagon’s algorithm in Python
John D. Cook
•
1 votes
5
An example conversation with Claude Code
Dumm Zeuch
•
1 votes