👉 LN (Large Language Model Engineering) refers to the comprehensive process of developing, optimizing, and deploying large-scale language models that can understand, generate, and interact with human language effectively. This involves several key steps: data collection and preprocessing to create a diverse and high-quality dataset, model architecture design, training the model on this data using advanced machine learning techniques, fine-tuning for specific tasks or domains to enhance performance, and finally, deploying the model into production environments where it can interact with users. LN engineering also encompasses ongoing maintenance, such as updating the model with new data and improving its accuracy and efficiency, ensuring that these models continue to evolve and meet the changing needs of users and applications.
