> ## Documentation Index
> Fetch the complete documentation index at: https://hub.hcompany.ai/llms.txt
> Use this file to discover all available pages before exploring further.

# Glossary

| Term                             | Definition                                                                                                                                                                                 |
| :------------------------------- | :----------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------- |
| Holo3                            | Latest generation Vision-Language Model (VLM) for GUI agents that can interact with real digital environments (web, desktop, mobile).                                                      |
| Holo2                            | Previous generation model that Holo3 improves upon.                                                                                                                                        |
| Vision-Language Model (VLM)      | A model that understands both visual inputs (like UI screens) and text, enabling it to interpret interfaces and perform actions.                                                           |
| GUI Agents                       | AI agents that operate graphical user interfaces by observing screens, reasoning about them, and executing actions.                                                                        |
| Computer Use (CU)                | The ability of an AI system to perform tasks on a computer, such as navigating interfaces and executing commands.                                                                          |
| OSWorld                          | Benchmark evaluating performance in real Ubuntu desktop environments.                                                                                                                      |
| WebVoyager / WebArena            | Benchmarks for testing web navigation and task completion abilities.                                                                                                                       |
| AndroidWorld                     | Benchmark for evaluating performance on mobile environments.                                                                                                                               |
| Navigation (in AI agents)        | The process of completing tasks through multi-step reasoning and actions across interfaces.                                                                                                |
| Policy Learning                  | Training method where the model learns which actions to take in different situations.                                                                                                      |
| Action Grounding                 | Connecting model decisions to actual executable actions in an environment.                                                                                                                 |
| Element Localization             | Single-turn vision task: given a screenshot and a text description of a target UI element, return click coordinates. A grounding primitive that can be used inside larger agent harnesses. |
| Cross-environment Generalization | Ability to perform well across different platforms (web, desktop, mobile), including unseen environments.                                                                                  |
| Holo3-35B-A3B                    | Smaller model variant, fully open-source under Apache 2.0.                                                                                                                                 |
| Holo3-122B-A10B                  | Larger model variant, research-only license (non-commercial).                                                                                                                              |
| Surfer-H                         | Example next-generation computer-use agent built on Holo3.                                                                                                                                 |
| Qwen/Qwen3.5-35B-A3B             | Base model used for fine-tuning Holo3.                                                                                                                                                     |
| Supervised Fine-Tuning (SFT)     | Training stage where the model learns from labeled examples.                                                                                                                               |
| Reinforcement Learning (GRPO)    | Training method where the model improves through feedback based on its actions.                                                                                                            |
| Synthetic Data                   | Artificially generated data used to supplement training.                                                                                                                                   |
| Human-Annotated Data             | Data labeled by humans to improve model accuracy.                                                                                                                                          |
| State-of-the-Art (SOTA)          | Performance that is among the best currently available.                                                                                                                                    |