GPT-4 & Large Language Models
The spark of artificial general reasoning.
OpenAI released GPT-4, a massive multimodal Large Language Model (LLM) trained on a significant portion of the public internet. It demonstrated unprecedented reasoning, coding, and language comprehension abilities.
Open in interactive timeline →Key Numbers
- Parameters (2012 AlexNet)
- 60 Million
- Parameters (2023 GPT-4)
- ~1.76 Trillion
Verified Facts
- GPT-4 reportedly utilized a "Mixture of Experts" architecture with roughly 1.76 Trillion parameters—the simulated synapses of its artificial brain.
- It was capable of passing the Uniform Bar Exam in the 90th percentile, writing complex software from scratch, and reasoning through highly complex, novel logic puzzles.
- This release triggered a massive global arms race, with tech monoliths (Google, Anthropic, Meta) mobilizing tens of billions of dollars to build massive GPU data centers to train the next generation of models.
Frequently Asked Questions
What was GPT-4 & Large Language Models?
OpenAI released GPT-4, a massive multimodal Large Language Model (LLM) trained on a significant portion of the public internet. It demonstrated unprecedented reasoning, coding, and language comprehension abilities.
When did GPT-4 & Large Language Models happen?
GPT-4 & Large Language Models: 2023 CE.
Why does GPT-4 & Large Language Models matter?
The spark of artificial general reasoning.
Sources & Further Reading
Cite This Page
AskHistoryAI. “GPT-4 & Large Language Models.” AskHistoryAI — Interactive Timeline of Everything. Updated 2026-09-11. https://askhistoryai.com/event/tech-gpt4/
Every fact on this page is checked against the published fact ledger and methodology; sources are listed above.