Scene text, table, chart and document reasoning
: Accurately identifies handwritten and printed text within a scene.
: Can identify a right triangle and determine its side lengths AB as 4 units and BC as 3 units.
: Accurately interprets the beginning and end of a proposal process.
: Identifies the Chinese dish "Re Gan Mian" and associates it with Wuhan City.
To improve model performance, advanced prompt techniques such as step-by-step guidance or few-shot context methods can be considered instead of providing the model with multi-page prompts all at once.
Multilingual and multimodal
: In image description prompts, accepts Chinese, French, and Czech languages and returns corresponding image descriptions in those languages.
: Recognizes scene images containing texts in multiple languages.
: Understands cultural differences and generates appropriate multilingual descriptions for wedding pictures.
Code generation capability
: Generates LaTeX code from handwritten math equations.
: Converts tables in images into Markdown code.
: Demonstrates how to replicate input graphics using Python, TikZ, and SVG.
Time and video understanding
: Can accurately analyze sequences of video frames.
: Measures the model's ability to identify causal relationships and temporal progressions in shuffled images.
: For example, use GPT-4V to predict short-term outcomes of soccer penalty kicks.
: Determines whether the goalkeeper successfully blocked the ball, demonstrating an understanding of causality.
Emotional intelligence testing
: Identifies emotions in facial expressions and provides reasonable emotional explanations.
: Interprets emotions based on content and image style, such as contentment, anger, awe, and fear. This is crucial for applications like home robots.
: Can describe images according to emotional requirements, making image descriptions scarier or more comforting.
Emergence
: Identifies differing regions or components in images.
: Demonstrates GPT-4V's defect detection capabilities on defective product images.
: Combines human detectors with GPT-4V's visual reasoning to identify potential safety hazards.
: Through further development, more complex and practical self-checkout scenarios can be explored, achieving full automation of the checkout process and enhancing customer experience.
