# Large language model

> Generative AI based on the Transformer architecture, with input and output modalities that include text. It became widely known to the public through ChatGPT.

[Generative AI](https://wiki.g15e.com/en/pages/Generative%20AI.txt) based on the [Transformer architecture](https://wiki.g15e.com/pages/Transformer%20architecture.txt), with input and output modalities that include text. It became widely known to the public through [ChatGPT](https://wiki.g15e.com/en/pages/ChatGPT.txt).
## Major models

- <OpenAI>'s <GPT>
- <Anthropic>'s [Claude](https://wiki.g15e.com/pages/Claude%20(AI.txt))
- <Google>'s <Gemini>
- <Meta>'s <Llama>
- <Alibaba>'s <Qwen>
- Model database: https://models.dev/

## Articles

- 2024-11-21 - [Re-Invoke: Tool invocation rewriting for zero-shot tool retrieval](https://research.google/blog/re-invoke-tool-invocation-rewriting-for-zero-shot-tool-retrieval/)
- 2024-08-14 - [LLMs develop their own understanding of reality as their language abilities improve](https://news.mit.edu/2024/llms-develop-own-understanding-of-reality-as-language-abilities-improve-0814)
- 2023-12-11 - [Why We Support and Encourage the Use of Large Language Models in NEJM AI Submissions | NEJM AI](https://ai.nejm.org/doi/full/10.1056/AIe2300128)

## See also

- [ML crash course - LLM](https://wiki.g15e.com/pages/ML%20crash%20course%20-%20LLM.txt)
- [LLM token sampling](https://wiki.g15e.com/pages/LLM%20token%20sampling.txt)
- [Free LLMs](https://wiki.g15e.com/en/pages/Free%20LLMs.txt)

## External links

- https://applied-llms.org/ - What We've Learned From A Year of Building with LLMs
- [LLM Engineer's Almanac](https://modal.com/llm-almanac/advisor)