How a Million-Scale Dataset Let Small AI Models Outperform GPT-4o at Reading Charts
For years, the assumption in AI has been straightforward: bigger models are better models. If you want a vision-language model that can reliably extract data from a financial chart, summarize a scientific figure, or answer complex questions about a visualization, you need something on the scale of GPT-4o or Gemini