Large language models
Skill · machine learning
A large language model (LLM) is a machine learning model trained on a vast amount of text for natural language processing tasks, especially language generation. LLMs can typically generate, summarize, translate, and analyze text in many contexts. They are the basis for many modern chatbots, such as ChatGPT, Claude, Vibe, Gemini, Grok, Qwen and DeepSeek.
Related work
- Driving scenario generator Jun 2025LLM-driven generator of driving scenarios (e.g. highway merges) from prompts and past experiences; in development.
- Flask OpenAI chatbot Dec 2024
It is a starting point for working with large language models, before his later, larger language-model projects such as the driving scenario generator and Mistral OCR to LaTeX.
In the knowledge graph
LLMs and the 2 things it is linked to. Open any dot for its page, or explore it in the full graph.
As data
Everything on this page is read from triples in the knowledge graph. These are the 5 it states about LLMs; the console runs SPARQL over the whole graph, here in your browser.
@prefix id: <https://ask.chaipat.cc/id/> . @prefix rdf: <http://www.w3.org/1999/02/22-rdf-syntax-ns#> . @prefix cj: <https://ask.chaipat.cc/ns#> . @prefix rdfs: <http://www.w3.org/2000/01/rdf-schema#> . @prefix schema: <https://schema.org/> . id:LLMs a cj:Skill ; rdfs:label "Large language models" ; cj:category "machine learning" ; cj:shortLabel "LLMs" ; schema:sameAs <https://en.wikipedia.org/wiki/Large_language_model> .