# Nolano.AI

## Docs

- [DataPreparationConfig](https://internal.nolano.ai/api-reference/data-config.md): API reference for data preparation configuration
- [EvaluationConfig](https://internal.nolano.ai/api-reference/evaluation-config.md): API reference for evaluation configuration
- [FinetuningConfig](https://internal.nolano.ai/api-reference/finetuning-config.md): API reference for finetuning configuration
- [ModelConfig](https://internal.nolano.ai/api-reference/model-config.md): API reference for model configuration
- [OptimizationConfig](https://internal.nolano.ai/api-reference/optimization-config.md): API reference for optimization configuration
- [TrainingConfig](https://internal.nolano.ai/api-reference/training-config.md): API reference for training configuration
- [Data Formats](https://internal.nolano.ai/data-formats.md): Supported data formats for different modalities in Nolano.AI
- [Data Preparation](https://internal.nolano.ai/data-preparation.md): Configure and process your data for training
- [Evaluation & Inference](https://internal.nolano.ai/evaluation.md): Comprehensive model evaluation and inference tools
- [Finetuning Configuration](https://internal.nolano.ai/finetuning.md): Configure finetuning parameters for pre-trained models
- [Installation & Setup](https://internal.nolano.ai/installation-setup.md): Choose between Nolano Cloud or self-hosted installation for your foundation model research
- [Introduction](https://internal.nolano.ai/introduction.md): Automated Platform for Building Large Foundation Models
- [Model Configuration](https://internal.nolano.ai/model-configuration.md): Configure model architecture and initialization
- [Quickstart](https://internal.nolano.ai/quickstart.md): Start building foundation models in minutes
- [Training Configuration](https://internal.nolano.ai/training.md): Configure optimization and training parameters
- [Joint Text and Time Series Training](https://internal.nolano.ai/tutorials/text-and-time-series.md): Build unified models that understand both natural language and temporal patterns through joint multi-modal training
- [Text Generation Models](https://internal.nolano.ai/tutorials/text-models.md): Complete tutorial for training large language models for text generation
- [Time Series Forecasting Foundation Models](https://internal.nolano.ai/tutorials/time-series.md): Build powerful time series forecasting foundation models using cross-modal continual pretraining from language models

## Optional

- [Website](https://nolano.ai)
- [GitHub](https://github.com/nolanoorg)