# BESPOKE CURATOR

- [Getting Started](https://docs.bespokelabs.ai/bespoke-curator/getting-started.md)
- [Quick Tour](https://docs.bespokelabs.ai/bespoke-curator/getting-started/quick-tour.md)
- [Key Concepts](https://docs.bespokelabs.ai/bespoke-curator/getting-started/key-concepts.md)
- [Visualize your dataset with the Bespoke Curator Viewer](https://docs.bespokelabs.ai/bespoke-curator/getting-started/visualize-your-dataset-with-the-bespoke-curator-viewer.md)
- [Automatic recovery and caching](https://docs.bespokelabs.ai/bespoke-curator/getting-started/automatic-recovery-and-caching.md)
- [Structured Output](https://docs.bespokelabs.ai/bespoke-curator/getting-started/structured-output.md)
- [Save $$$ on LLM inference](https://docs.bespokelabs.ai/bespoke-curator/save-usdusdusd-on-llm-inference.md)
- [Using OpenAI for batch inference](https://docs.bespokelabs.ai/bespoke-curator/save-usdusdusd-on-llm-inference/using-openai-for-batch-inference.md)
- [Using Anthropic for batch inference](https://docs.bespokelabs.ai/bespoke-curator/save-usdusdusd-on-llm-inference/using-anthropic-for-batch-inference.md)
- [Using Gemini for batch inference](https://docs.bespokelabs.ai/bespoke-curator/save-usdusdusd-on-llm-inference/using-gemini-for-batch-inference.md)
- [Using Mistral for batch inference](https://docs.bespokelabs.ai/bespoke-curator/save-usdusdusd-on-llm-inference/using-mistral-for-batch-inference.md)
- [Using kluster.ai for batch inference](https://docs.bespokelabs.ai/bespoke-curator/save-usdusdusd-on-llm-inference/using-kluster.ai-for-batch-inference.md)
- [How-to Guides](https://docs.bespokelabs.ai/bespoke-curator/how-to-guides.md)
- [Online Processing](https://docs.bespokelabs.ai/bespoke-curator/how-to-guides/online-processing.md)
- [Batch Processing](https://docs.bespokelabs.ai/bespoke-curator/how-to-guides/batch-processing.md)
- [Using vLLM with Curator](https://docs.bespokelabs.ai/bespoke-curator/how-to-guides/using-vllm-with-curator.md)
- [Using Ollama with Curator](https://docs.bespokelabs.ai/bespoke-curator/how-to-guides/using-ollama-with-curator.md)
- [Using LiteLLM with curator](https://docs.bespokelabs.ai/bespoke-curator/how-to-guides/using-litellm-with-curator.md)
- [Handling Multimodal Data in Curator](https://docs.bespokelabs.ai/bespoke-curator/how-to-guides/handling-multimodal-data-in-curator.md)
- [Executing LLM-generated code](https://docs.bespokelabs.ai/bespoke-curator/how-to-guides/executing-llm-generated-code.md)
- [Using HuggingFace inference providers with Curator](https://docs.bespokelabs.ai/bespoke-curator/how-to-guides/using-huggingface-inference-providers-with-curator.md)
- [Data Curation Recipes](https://docs.bespokelabs.ai/bespoke-curator/data-curation-recipes.md)
- [Generating a diverse QA dataset](https://docs.bespokelabs.ai/bespoke-curator/data-curation-recipes/generating-a-diverse-qa-dataset.md)
- [Using SimpleStrat block for generating diverse data](https://docs.bespokelabs.ai/bespoke-curator/data-curation-recipes/using-simplestrat-block-for-generating-diverse-data.md)
- [Curate Reasoning data with Claude-3.7 Sonnet](https://docs.bespokelabs.ai/bespoke-curator/data-curation-recipes/curate-reasoning-data-with-claude-3.7-sonnet.md)
- [Synthetic Data for function calling](https://docs.bespokelabs.ai/bespoke-curator/data-curation-recipes/synthetic-data-for-function-calling.md)
- [Finetuning Examples](https://docs.bespokelabs.ai/bespoke-curator/finetuning-examples.md)
- [Aspect based sentiment analysis](https://docs.bespokelabs.ai/bespoke-curator/finetuning-examples/aspect-based-sentiment-analysis.md)
- [Finetuning a model to identify features of a product](https://docs.bespokelabs.ai/bespoke-curator/finetuning-examples/finetuning-a-model-to-identify-features-of-a-product.md)
- [API Reference](https://docs.bespokelabs.ai/bespoke-curator/api-reference.md)


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# 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.bespokelabs.ai/bespoke-curator.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.