Hello Folks! Hope you had an amazing long weekend and soaked up some 🌞. I definitely did! Day 22 of building my LLM from scratch. Today I dived deeper into Fine Tuning! The goal is straightforward: adapt a general-purpose LLM into a task-specific classifier with enhanced accuracy and domain specialization. Here’s what I accomplished: ✨Fine-tuned a pre-trained language model for binary text classification (spam vs. ham). ✨Pipeline included dataset balancing (undersampling), label encoding (0/1), train/val/test split, GPT-2 tokenization, sequence padding to fixed length, and PyTorch DataLoaders for efficient batching. #deeplearning #generativeai #largelanguagemodels #womenintech