> For the complete documentation index, see [llms.txt](https://docs.clore.ai/llms.txt). Markdown versions of documentation pages are available by appending `.md` to page URLs; this page is available as [Markdown](https://docs.clore.ai/guides/guides_v2-es/entrenamiento.md).

# Entrenamiento

- [Descripción general](https://docs.clore.ai/guides/guides_v2-es/entrenamiento/training.md)
- [Entrenamiento ML en Jupyter](https://docs.clore.ai/guides/guides_v2-es/entrenamiento/jupyter-ml-training.md): Configura JupyterLab con soporte GPU para entrenamiento de ML en Clore.ai
- [DreamBooth](https://docs.clore.ai/guides/guides_v2-es/entrenamiento/dreambooth.md): Entrena modelos de imagen personalizados con DreamBooth en GPUs de Clore.ai
- [Entrenamiento Kohya](https://docs.clore.ai/guides/guides_v2-es/entrenamiento/kohya-training.md): Entrena LoRA y DreamBooth para Stable Diffusion con Kohya en Clore.ai
- [Ajustar LLM](https://docs.clore.ai/guides/guides_v2-es/entrenamiento/finetune-llm.md): Ajusta LLMs personalizados con técnicas eficientes en GPUs de Clore.ai
- [Fine-tuning 2x más rápido con Unsloth](https://docs.clore.ai/guides/guides_v2-es/entrenamiento/unsloth-finetune.md): Ajusta LLMs 2x más rápido con un 70% menos de VRAM usando Unsloth en Clore.ai
- [Ajuste fino universal Axolotl](https://docs.clore.ai/guides/guides_v2-es/entrenamiento/axolotl-training.md): Ajuste fino de LLMs impulsado por YAML con Axolotl en Clore.ai: LoRA, QLoRA, DPO, multi-GPU
- [Entrenamiento con DeepSpeed](https://docs.clore.ai/guides/guides_v2-es/entrenamiento/deepspeed-training.md): Entrena modelos grandes de forma eficiente con DeepSpeed en GPUs de Clore.ai
- [Transformers de HuggingFace](https://docs.clore.ai/guides/guides_v2-es/entrenamiento/huggingface-transformers.md): Usa HuggingFace Transformers para NLP, visión y audio en Clore.ai
- [LLaMA-Factory](https://docs.clore.ai/guides/guides_v2-es/entrenamiento/llama-factory.md): Ajusta finamente más de 100 LLMs con LoRA/QLoRA y una interfaz web en GPUs de Clore.ai usando LLaMA-Factory
- [LitGPT](https://docs.clore.ai/guides/guides_v2-es/entrenamiento/litgpt.md)
- [Fusión de modelos con Mergekit](https://docs.clore.ai/guides/guides_v2-es/entrenamiento/mergekit.md)
- [TRL (entrenamiento RLHF/DPO)](https://docs.clore.ai/guides/guides_v2-es/entrenamiento/trl.md)


---

# Agent Instructions
This documentation is published with GitBook. GitBook is the documentation platform designed so that both humans and AI agents can read, navigate, and reason over technical content effectively. Learn more at gitbook.com.

## 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, and the optional `goal` query parameter:

```
GET https://docs.clore.ai/guides/guides_v2-es/entrenamiento.md?ask=<question>&goal=<endgoal>
```

`ask` is the immediate question: it should be specific, self-contained, and written in natural language.
`goal` is optional and describes the broader end goal you are ultimately trying to accomplish on behalf of the user. GitBook uses it to tailor the answer towards what is most useful for that goal.

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.
