Generative AI (GenAI): Difference between revisions

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Generative AI is used in multiple ways in the {{software}}.
Generative AI [[Neural Network]] models are used in multiple ways in the {{software}} by [[AI Agent]]s.


===Generative AI===
===Large Language Models===
{{main |Generative AI (GenAI)}}
List of open weight Large Language Models (LLM){{ref|LLM}} models available to Chat Agents.
List of open source [[Generative AI (GenAI)|Generative AI]] models available to the Chat Channel Agents:
* '''Gemma4 (Speed)''': Gemma4 model{{ref|Gemma4}} optimized for fast reactions.
* '''Gemma4 (Speed)''': Gemma4 model{{ref|Gemma4}} optimized for fast reactions.
* '''Qwen3.8 (Quality)''': Qwen3.8 model{{ref|Qwen3.8}} optimized for quality needed for coding and [[TQL]].
* '''Qwen3.8 (Quality)''': Qwen3.8 model{{ref|Qwen3.8}} optimized for quality needed for coding, creating [[TQL]] queries and calling session endpoints.


==AI Agents==
===Vision Models===
AI Agents consist of a Large Language Models (LLM){{ref|LLM}} [[Neural Network]] in combination with Vision and a set of Tools to interact with the Project or answer documentation questions. Using a [[Chat Channel]] you can interact with an AI Agent.
These models help the LLM's to identify features in images from the interface or e.g. Overlay exports.
 
===Diffusion Models===
These models can create new or edit existing images that can be used in Design Agents.
 
===Embeddings===
Embedding model used for AI assisted data search.


{{article end
{{article end
|notes=
|notes=
* 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]].
* All models run Tygron [[Cloud Computing]] servers, with no links to external hosting and follow strict [[AI Rules]].
* All models run Tygron [[Cloud Computing]] servers, with no links to external hosting and follow strict [[AI Rules]].
|seealso=*[[Chat Channel]]
|seealso=*[[Chat Channel]]
*[[AI Agent]]
|references=
|references=
<references>
<references>
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   |lastvisit=2026-06-29
   |lastvisit=2026-06-29
}}
}}
{{ref|Mistral
{{ref|Qwen3.8
   |name=Mistral
   |name=Qwen3.8
  |author=
  |page=
  |source=
  |link=https://mistral.ai/news/vibe-remote-agents-mistral-medium-3-5/
  |lastvisit=2026-06-29
}}
{{ref|MCP
  |name=MCP
   |author=
   |author=
   |page=
   |page=
   |source=
   |source=
   |link=https://modelcontextprotocol.io/docs/getting-started/intro
   |link=https://qwen.ai/
   |lastvisit=2026-06-29
   |lastvisit=2026-09-03
}}
}}
</references>
</references>
|howtos=*[[How to change the LLM of a Chat Channel]]
|howtos=*[[How to change the LLM of a Chat Channel]]
|api=* [[Api session event editor chatchannel set neural network]]
|api=* [[Api session event editor chat set neural network]]
* [[Api session event editor chatchannel set tools]]
}}
}}
{{Editor community nav}}
{{Editor community nav}}

Latest revision as of 13:29, 7 October 2026

Generative AI Neural Network models are used in multiple ways in the Tygron Platform by AI Agents.

Large Language Models

List of open weight Large Language Models (LLM)[1] models available to Chat Agents.

  • Gemma4 (Speed): Gemma4 model[2] optimized for fast reactions.
  • Qwen3.8 (Quality): Qwen3.8 model[3] optimized for quality needed for coding, creating TQL queries and calling session endpoints.

Vision Models

These models help the LLM's to identify features in images from the interface or e.g. Overlay exports.

Diffusion Models

These models can create new or edit existing images that can be used in Design Agents.

Embeddings

Embedding model used for AI assisted data search.

Notes

How-to's

See also

API Endpoints

References

  1. ↑ LLM ∙ Found at: https://en.wikipedia.org/wiki/Large_language_model ∙ (last visited: 2026-06-29)
  2. ↑ Gemma4 ∙ Found at: https://deepmind.google/models/gemma/gemma-4/ ∙ (last visited: 2026-06-29)
  3. ↑ Qwen3.8 ∙ Found at: https://qwen.ai/ ∙ (last visited: 2026-09-03)