LLM (large Language Model) is an AI model trained on large datasets to perform tasks like answering questions, summarizing text, translating languages, and assisting with coding. LLM works by predicting the next word based on data probability using the Transformer architecture.

LLM stages include:

1. Pre-training: The model learns from large data.

2. Fine-tuning: Data adaptation to improve performance and domain specificity.

LLM developments include Multimodal, RAG, Agentic AI, and Small Language Model.

LLM enables more accurate and efficient natural language processing.

Broad application potential in education, business, and technology.