Machine Learning Research
Faster Learning for Diffusion Models: Pretrained embeddings accelerate diffusion transformers’ learning
Diffusion transformers learn faster when they can look at embeddings generated by a pretrained model like DINOv2.
Mar 26, 2025
Tech & Society
LLM Support for Tutors: GPT-4 boosts remote tutors’ performance in real time, study finds
Students benefit from tutoring, but training tutors is expensive. A study shows that large language models can boost tutors’ effectiveness in real time.
Machine Learning Research
Better Images in Fewer Steps: Researchers introduce shortcut models to speed up diffusion
Diffusion models usually take many noise-removal steps to produce an image, which takes time at inference. There are ways to reduce the number of steps, but the resulting systems are less effective. Researchers devised a streamlined approach that doesn’t sacrifice output quality.
Machine Learning Research
Vision-Language, Compact and Open: Google releases Gemma 3 vision-language models with open weights
Google updated its open-weights family of large language models to include versions that handle image and video inputs.
Letters
When to Fine-Tune — and When Not To: Many teams that fine-tune their models would be better off prompting or using agentic workflows. Here's how to decide.
Fine-tuning small language models has been gaining traction over the past half year.
The Batch Newsletter
Compact Vision-Language with Open Weights, Faster Learning, Diffusion in Few Steps, LLMs Aid Tutors
The Batch AI News and Insights: Fine-tuning small language models has been gaining traction over the past half year.