Talk Proposal "Structuring Unstructured Text using structured generative AI" #104
Description
Your name
Oren Matar
Your GitHub
Your Social Link
https://www.linkedin.com/in/oren-matar-96476b139/
Your proposal type: talk, lightning talk or til (today I learned)
talk
Title of your presentation
Structuring Unstructured Text using structured generative AI
Description
How can generative AI transform natural language into structured formats, like extracting dates from free text, while maintaining accuracy and consistency? This session tackles the challenges of using transformer-based models for structured extraction and introduces best practices for building fine-tuning datasets and leveraging Constrained Generative AI to eliminate syntactic errors. We will also explore preprocessing, data generation, and augmentation techniques that achieved near-perfect accuracy in extracting dates and times from text. The framework presented is versatile and applicable to extracting any structured data from unstructured text, empowering attendees to create more robust NLP solutions.
Favourite Month you would like to present in
February