Large Language Model (LLM): Difference between revisions
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* The {{software}} supports multiple [[Chat Channel#LLM|open-source models]], for example Gemma4{{ref|Gemma4}} and Mistral{{ref|Mistral}}. | * The {{software}} supports multiple [[Chat Channel#LLM|open-source models]], for example Gemma4{{ref|Gemma4}} and Mistral{{ref|Mistral}}. | ||
* The LLM also has access to several [[Chat Channel#MCP Tools|Model Context Protocol (MCP) tools]] {{ref|MCP}} in order to interact with this WIKI and your [[Project]]. | * The LLM also has access to several [[Chat Channel#MCP Tools|Model Context Protocol (MCP) tools]] {{ref|MCP}} in order to interact with this WIKI and your [[Project]]. | ||
* All models run | * All models run Tygron [[Cloud Computing]] servers, with no links to external hosting. | ||
|references= | |references= | ||
<references> | <references> | ||
Latest revision as of 11:07, 3 August 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 interacting 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) tools [4] in order to interact with this WIKI and your Project.
- All models run Tygron Cloud Computing servers, with no links to external hosting.
API Endpoints
- Api session event editor chatchannel set neural network
- Api session event editor chatchannel set tools
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)