How to Develop an LLM Model: A Complete Guide to Building Large Language Models
This Dev Technosys article, “How to Develop an LLM Model: A Complete Guide to Building Large Language Models”, walks readers through a detailed 7-step process for creating their own LLMs — from defining objectives and data collection, to training, evaluation, deployment, and monitoring. It also compares different model architectures (Transformers, encoder-decoder, RNNs), outlines must-have features (context understanding, multilingual support, robustness), and examines cost factors. Real-world examples and monetization strategies help readers understand the practical applications of LLMs. It’s a useful resource for developers, researchers, or businesses exploring custom AI.