The new feature has several use cases, including eCommerce websites generating text from changing images to update their merchandise, interpreting key takeaways from charts and graphs automatically, and compliance checking, such as pharmaceutical companies using Palmyra-Vision for automated FDA compliance checks against ad copy. The product can also interpret and summarize handwritten notes into text, but this requires training the model for individual use cases. Habib emphasized the importance of human review in the workflow to ensure accuracy.
Key takeaways:
- San Francisco startup Writer has announced a new capability for its Palmyra model, Palmyra-Vision, which generates text from images, including graphs and charts.
- The company uses a multiple model approach to produce the Palmyra Vision results, with each model having a specific job in determining what is in the image and then generating the text.
- Use cases include eCommerce websites generating text from changing images to update their sites, interpreting key takeaways from charts and graphs, and compliance checking for industries like pharmaceuticals.
- Despite the automation, CEO May Habib emphasizes the importance of human review in the workflow to ensure accuracy and prevent errors or fabrications from the AI model.