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Studio

What is LLM ( Large Language Model ) ?
 

Large Language Models (LLMs) are artificial intelligence models trained on large amounts of text data. They specialize in natural language understanding and generation and are skilled at text-based tasks, such as coding, writing, conversational response, information retrieval, and translation. These models' ability to understand context, answer questions, and generate creative content has applications in fields as diverse as education, business, and entertainment. In addition, LLMs are continually evolving and being developed to provide more accurate and sophisticated responses.​

Greenative Studio

 

Greenative Studio is a tool specialized in building and managing text generation AI models, including Gemma. It can be deployed in a variety of infrastructure environments owned by companies, including on-premise, virtual environments, and public clouds.
You can build your own generative AI models by applying your own data and fine-tuning the base model.

Currently, the following commercially available base models are immediately available for use in the Greenative Studio environment :

  • Gemma 4

  • Mistral 3

  • Nemotron 3.5 Lightning

  • Phi 4

  • Qwen3 Coder

Learn more

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Chat

 

You can associate a base or fine-tuned model with a chat thread to allow users to ask any question.

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Dataset
 

Any group of data can be registered with Greenative as a text file as a data set.

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Build

 

You can perform fine tuning and create custom models using datasets based on the base model you download to your own infrastructure.

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MCP

 

By utilizing the MCP servers included by default with Greenative Studio, you can extend its functionality to include features such as accessing external data sources and manipulating local files.

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Code

 

By integrating Coding Agent with a base model, you can perform vibe coding entirely within your local environment without having to publish the source code externally.

Greenative MCP Servers

 

Greenative Studio comes bundled with multiple MCP servers by default, which users can launch at any time and integrate with local models.
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greenative-core

Provides the most basic functionality for extending local models. It allows you to retrieve a list of files in a directory, read and write local files, and aggregate CSV files, among other tasks.

greenative-doc

Converts PDF files stored locally into docx, pptx, and xlsx formats.

greenative-data (formerly greenative.mcp)

Acts as a bridge connecting the local model to corporate data. This enables the local model to retrieve and update internal data.

It allows for file and SQL-based access via the Greenative Platform (formerly Avgidea Data Platform), which operates in the cloud using natural language.

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greenative-skills
 

greenative-skills is an extension module for AI coding agents like Claude Code, enabling the operation of the Greenative Platform from generative AI. The module is publicly available on GitHub and can be installed directly into AI coding agents.


Details here:

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Product introduction and purchase

 

Thank you for your interest in our products. If you have any questions about installing our products, please contact us here .

You can also outsource the construction and operation management of your Greenative environment on the public cloud to us.

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