How AutoIntent prepared their website for AI search
AutoIntent is an open-source tool designed for the automatic configuration of text classification pipelines, specifically enhancing intent prediction accuracy.
Readers can explore AutoIntent’s comprehensive resources for configuring text classification pipelines, particularly in intent prediction. The documentation provides clear guidelines on basic and advanced usage, empowering developers to optimize their applications effectively.
Key Insights
Focused approach
A streamlined 1-section structure keeps things simple and scannable.
Two-file approach
Uses both llms.txt and llms-full.txt for different AI use cases.
llms.txt Preview
First 31 lines of 31 total
# AutoIntent
> AutoIntent is an open source tool for automatic configuration of text classification pipelines, with specialized support for intent prediction.
## Docs
- [AutoIntent documentation](/index.html)
- [Quickstart](/quickstart.html)
- [Key Concepts](/concepts.html)
- [User Guides](/user_guides.html)
- [Basic Usage](/user_guides/index_basic_usage.html)
- [Data](/user_guides/user_guides.basic_usage.01_data.html)
- [Advanced Usage](/user_guides/index_advanced_usage.html)
- [Data](/user_guides/user_guides.advanced.01_data.html)
- [Embedder Configuration](/user_guides/user_guides.advanced.02_embedder_configuration.html)
- [AutoML Customization](/user_guides/user_guides.advanced.03_automl.html)
- [Run reporting](/user_guides/user_guides.advanced.04_reporting.html)
- [Logging to stdout and file](/user_guides/user_guides.advanced.05_logging.html)
- [Modules](/user_guides/user_guides.basic_usage.02_modules.html)
- [AutoML Pipeline Configuration](/user_guides/user_guides.basic_usage.03_automl.html)
- [Inference Pipeline](/user_guides/user_guides.basic_usage.04_inference.html)
- [Data augmentation tutorials](/augmentation_tutorials/index.html)
- [Balancing Datasets with DatasetBalancer](/augmentation_tutorials/balancer.html)
- [DSPY Augmentation](/augmentation_tutorials/dspy_augmentation.html)
- [Intent Description Generation](/augmentation_tutorials/intent_description.html)
- [Learn](/learn/index.html)
- [AutoML and Hyperparameter Optimization](/learn/automl_theory.html)
- [Dialogue Systems Theory and Practice](/learn/dialogue_systems.html)
- [Optimization](/learn/optimization.html)
- [Text Embeddings and Representation Learning](/learn/text_embeddings.html)
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