# GenAI

GenAI

🚀 Exploring the Generative AI Ecosystem: A Comprehensive Mind Map 🌐

This insightful infographic breaks down the Generative AI landscape into a clear, well-structured mind map. Here's a quick overview of what it covers:

🔴 \*\*Core Concepts\*\*: Foundational technologies like Neural Networks, Autoencoders, Transformer Models, and GANs.

<figure><img src="https://media.licdn.com/dms/image/v2/D5622AQF6cP5k7K7oVg/feedshare-shrink_800/B56ZWTd5EfGQAg-/0/1741935844051?e=1745452800&#x26;v=beta&#x26;t=63XwVSSAViujNeCz422bDTilovIAJhHpCw6CrG6b7hg" alt=""><figcaption></figcaption></figure>

🟢 \*\*Data Sources\*\*: Diverse training datasets—text, image, video, audio, and multimodal.

🔵 \*\*Applications\*\*: Real-world uses such as text generation, image synthesis, and code generation.

🟣 \*\*Techniques\*\*: Key methods like reinforcement learning, attention mechanisms, and prompt engineering.

🟢 \*\*Popular Models\*\*: Influential systems like GPT, Claude, DALL-E, and CLIP.

🟣 \*\*Tools & Frameworks\*\*: Development platforms including TensorFlow, PyTorch, and Hugging Face.

🟤 \*\*Challenges\*\*: Critical concerns like data bias, ethical considerations, and environmental impact.

🟠 \*\*Evaluation Metrics\*\*: How AI systems are measured—BLEU, ROUGE, and human evaluation.

🔵 \*\*Future Trends\*\*: Emerging directions such as multimodal AI and AI for scientific discovery.

&#x20;

What are your thoughts on the future of Generative AI? Let’s discuss! 👇


---

# 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://phantanloc.gitbook.io/locpt_wiki/homepage/2.it-cntt/ai-tri-tue-nhan-tao/genai.md?ask=<question>
```

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.