New paper maps LLM evolution from BERT to GPT-5, Gemini, Claude, Grok

A new arXiv paper provides a comprehensive taxonomy of Large Language Models (LLMs), tracing their evolution from early models like BERT to contemporary systems such as GPT-5, Gemini, Claude, and Grok. The research details training datasets, computational requirements, hardware specifications, architectures, and parameters. It also addresses limitations and open challenges in LLM development, highlighting a trend where models balancing architectural complexity with data quality achieve better reasoning and alignment without excessive computational cost. AI

IMPACT Provides a structured overview of LLM development, useful for understanding the landscape and identifying future research directions.

RANK_REASON The cluster contains an academic paper detailing advancements and limitations in LLM design. [lever_c_demoted from research: ic=1 ai=1.0]

Read on arXiv cs.CL →

• arXiv
• BERT
• .claude
• Gemini
• generative pre-trained transformer
• GPT-5
• Grok
• Harsidak Singh Banwait
• Hugging Face
• transformer

• paper
• model release

AI-generated summary · Google Gemini · from 1 sources. How we write summaries →