Convert Reddit Upvotes into AI Training Data

The process involves leveraging Reddit's vast user-generated content to create valuable AI training datasets. It begins by systematically extracting posts and their associated comments, crucially capturing the upvote counts for each. This quantitative feedback is then used to categorize different types of user reactions, providing a nuanced understanding of content reception. Finally, the processed data, enriched with embeddings, is stored within a Supabase database. This structured approach makes the data readily available for tasks such as fine-tuning large language models or enhancing retrieval-augmented generation systems.