Tag: #captioning
Writing on GPUs, LLMs, MLOps, Kubernetes — and mindset · 1 posts
AI for Everyone, Part 4 — Captioning Images With 1.37M Parameters, and Why Part 3 Bug Was Absent Here
We joined a CNN encoder to a transformer decoder and captioned Fashion-MNIST images. With 1.37 million parameters and ten minutes of training, the label hit rate reached 91%. This part looks at what cross-attention does
2026-08-22 · 7 min read #ai#captioning#multimodal#transformer#pytorch