Hello there ! Lets understand Large Language Models and how to build one ! Tag along !

Preliminary
First things First! Right !! Building a Large Language Model (LLM) from scratch involves using various tools and packages for data processing, model architecture, training, and evaluation.

Stage 1: Data Preparation and Sampling
Python: The programming language for the entire process.

Pandas: For data manipulation and cleaning.

NLTK (Natural Language Toolkit) or Spacy: For advanced natural language processing tasks like tokenization and part-of-speech tagging.
TensorFlow or PyTorch: The choice between TensorFlow and PyTorch often depends on personal preference or the existing infrastructure, as both are powerful frameworks for deep learning.