Comprehensive Technical Overview of GPT Series, Transformers, and Emerging Capabilities in Large Language Models
This article provides a detailed technical review of the evolution of GPT models, the Transformer architecture, large language model training methods, emergent abilities such as in‑context learning and chain‑of‑thought, multimodal extensions, and the challenges of data, scaling, and alignment, offering a holistic view for researchers and practitioners.