# Overview - [Introduction](https://docs.chaingpt.org/overview/readme.md) - [Mission & Vision](https://docs.chaingpt.org/overview/mission-and-vision.md) - [Learn The Concepts](https://docs.chaingpt.org/overview/learn-the-concepts.md) - [Large Language Models (LLMs)](https://docs.chaingpt.org/overview/learn-the-concepts/large-language-models-llms.md) - [Text to Image Models (TTIMs)](https://docs.chaingpt.org/overview/learn-the-concepts/text-to-image-models-ttims.md) - [Natural Language Processing (NLP)](https://docs.chaingpt.org/overview/learn-the-concepts/natural-language-processing-nlp.md) - [Machine Learning (ML)](https://docs.chaingpt.org/overview/learn-the-concepts/machine-learning-ml.md) - [Fine-Tuning](https://docs.chaingpt.org/overview/learn-the-concepts/fine-tuning.md) - [Generative Model](https://docs.chaingpt.org/overview/learn-the-concepts/generative-model.md) - [Pretrained Language Model](https://docs.chaingpt.org/overview/learn-the-concepts/pretrained-language-model.md) - [Transformer Architecture](https://docs.chaingpt.org/overview/learn-the-concepts/transformer-architecture.md) - [Tokenization](https://docs.chaingpt.org/overview/learn-the-concepts/tokenization.md) - [Contextual Awareness](https://docs.chaingpt.org/overview/learn-the-concepts/contextual-awareness.md) - [APIs & SDKs](https://docs.chaingpt.org/overview/learn-the-concepts/apis-and-sdks.md) - [Artificial Intelligence Virtual Machine (AIVM)](https://docs.chaingpt.org/overview/learn-the-concepts/artificial-intelligence-virtual-machine-aivm.md) - [GPU Computing Power](https://docs.chaingpt.org/overview/learn-the-concepts/gpu-computing-power.md) - [AI Data Marketplace](https://docs.chaingpt.org/overview/learn-the-concepts/ai-data-marketplace.md) - [Road Map](https://docs.chaingpt.org/overview/road-map.md) - [2026: Q1-Q2](https://docs.chaingpt.org/overview/road-map/2026-q1-q2.md) - [2024–2026 AIVM Initiative Roadmap: Building the Decentralized AI Future](https://docs.chaingpt.org/overview/road-map/2024-2025-aivm-blockchain-initiative.md) - [2025: Q3-Q4](https://docs.chaingpt.org/overview/road-map/2025-q1-q2.md) - [2025: Q1-Q2](https://docs.chaingpt.org/overview/road-map/2025-q1-q2-1.md) - [2024: Q3-Q4](https://docs.chaingpt.org/overview/road-map/2024-q3-q4.md) - [2024: Q1-Q2](https://docs.chaingpt.org/overview/road-map/2024-q1-q2.md) - [2023: Q3-Q4](https://docs.chaingpt.org/overview/road-map/2023-q3-q4.md) - [2023: Q1-Q2](https://docs.chaingpt.org/overview/road-map/2023-q1-q2.md) - [2022: Q4](https://docs.chaingpt.org/overview/road-map/2022-q3-q4.md) - [FAQ](https://docs.chaingpt.org/overview/faq.md): Frequently Asked Questions about ChainGPT --- # Agent Instructions: Querying This Documentation If you need additional information that is not directly available in this page, you can query the documentation dynamically by asking a question. Perform an HTTP GET request on the current page URL with the `ask` query parameter: ``` GET https://docs.chaingpt.org/overview.md?ask= ``` The question should be specific, self-contained, and written in natural language. The response will contain a direct answer to the question and relevant excerpts and sources from the documentation. Use this mechanism when the answer is not explicitly present in the current page, you need clarification or additional context, or you want to retrieve related documentation sections.