Closed AI Models Make Bad Baselines (via) The NLP academic research community are facing a tough challenge: the state-of-the-art in large language models, GPT-4, is entirely closed which means papers that compare it to other models lack replicability and credibility. “We make the case that as far as research and scientific publications are concerned, the “closed” models (as defined below) cannot be meaningfully studied, and they should not become a “universal baseline”, the way BERT was for some time widely considered to be.”
Anna Rogers proposes a new rule for this kind of research: “That which is not open and reasonably reproducible cannot be considered a requisite baseline.”
Recent articles
- Building software on top of Large Language Models - 15th May 2025
- Trying out llama.cpp's new vision support - 10th May 2025
- Saying "hi" to Microsoft's Phi-4-reasoning - 6th May 2025