Llm training

The process involves training large language models using vast datasets to enable them to understand and generate human-like text. This training includes data collection, preprocessing, model architecture selection, training, fine-tuning, evaluation, and deployment, often utilizing transformer architectures for effective learning. The target demographic for LLM training includes AI researchers, developers, and companies seeking to implement advanced natural language processing capabilities in their applications.