Fine-tuning models have gained momentum with the advent of transfer learning, particularly in natural language processing (NLP). Instead of starting from scratch, practitioners tweak sophisticated models initially developed by tech giants like Google or Microsoft.
In today’s digital age, with technical constraints and legal regulations constantly increasing, the need for contextualizing content to personalize ads while ensuring user privacy has never been so important. Moreover, advertisers strive to maintain a positive and trustworthy association between their brand and the content in which their ads are displayed. Thus, categorizing text, images…
