Large Language Model (LLM): Difference between revisions
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Large Language Models (LLM){{ref|LLM}} are a type of [[Neural Network]] in the {{software}} used by the [[Chat Channel#AI | Large Language Models (LLM){{ref|LLM}} are a type of [[Neural Network]] in the {{software}} used by the [[Chat Channel#AI Agents|AI Agent]] to generate [[Chat Message]]s in [[Chat Channel]]s. | ||
LLMs are trained on vast amounts of text to understand and generate human-like language for tasks like summarizing, translating, answering questions and interact with your [[Project]]. | LLMs are trained on vast amounts of text to understand and generate human-like language for tasks like summarizing, translating, answering questions and interact with your [[Project]]. | ||
Latest revision as of 13:46, 1 July 2026
Large Language Models (LLM)[1] are a type of Neural Network in the Tygron Platform used by the AI Agent to generate Chat Messages in Chat Channels.
LLMs are trained on vast amounts of text to understand and generate human-like language for tasks like summarizing, translating, answering questions and interact with your Project.
Notes
- The Tygron Platform supports multiple open-source models, for example Gemma4[2] and Mistral[3].
- The LLM also has access to several Model Context Protocol (MCP) [4] in order to interact with this WIKI and your Project.
References
- ↑ LLM ∙ Found at: https://en.wikipedia.org/wiki/Large_language_model ∙ (last visited: 2026-06-29)
- ↑ Gemma4 ∙ Found at: https://deepmind.google/models/gemma/gemma-4/ ∙ (last visited: 2026-06-29)
- ↑ Mistral ∙ Found at: https://mistral.ai/news/vibe-remote-agents-mistral-medium-3-5/ ∙ (last visited: 2026-06-29)
- ↑ MCP ∙ Found at: https://modelcontextprotocol.io/docs/getting-started/intro ∙ (last visited: 2026-06-29)