> For the complete documentation index, see [llms.txt](https://docs.zama.org/concrete-ml/llms.txt). Markdown versions of documentation pages are available by appending `.md` to page URLs; this page is available as [Markdown](https://docs.zama.org/concrete-ml/1.2/getting-started/showcase.md). # Demos and Tutorials This section lists several demos that apply Concrete ML to some popular machine learning problems. They show how to build ML models that perform well under FHE constraints, and then how to perform the conversion to FHE. Simpler tutorials that discuss only model usage and compilation are also available for [built-in models](/concrete-ml/1.2/built-in-models/ml_examples.md) and [deep learning](/concrete-ml/1.2/deep-learning/examples.md).


GPT-2 in FHE	Privacy-preserving text generation based on a user's prompt	demo_gpt2.png	https://github.com/zama-ai/concrete-ml/blob/release/1.2.x/use_case_examples/llm/README.md
Titanic	Train an XGB classifier that can perform encrypted prediction for the Kaggle Titanic competition	demo_titanic.png	https://github.com/zama-ai/concrete-ml/blob/release/1.2.x/use_case_examples/titanic/README.md
Federated Learning and Private Inference	Use federated learning to train a Logistic Regression while preserving training data confidentiality. Import the model into Concrete ML and perform encrypted prediction	demo_mnist.png	https://github.com/zama-ai/concrete-ml/blob/release/1.2.x/use_case_examples/federated_learning/README.md
Neural Network Fine-tuning	Fine-tune a VGG network to classify the CIFAR image data-sets and predict on encrypted data	demo_nn_finetuning.png	https://github.com/zama-ai/concrete-ml/blob/release/1.2.x/use_case_examples/cifar/cifar_brevitas_finetuning/README.md
Neural Network Splitting for SaaS deployment	Train a VGG-like CNN that classifies CIFAR10 encrypted images, and where an initial feature extractor is executed client-side	demo_nn_splitting.png	https://github.com/zama-ai/concrete-ml/blob/release/1.2.x/use_case_examples/cifar/cifar_brevitas_with_model_splitting/README.md
Encrypted Image filtering	A Hugging Face space that applies a variety of image filters to encrypted images	demo_filtering.png	https://github.com/zama-ai/concrete-ml/blob/release/1.2.x/use_case_examples/image_filtering/README.md
Encrypted sentiment analysis	A Hugging Face space that securely analyzes the sentiment expressed in a short text	demo_sentiment.png	https://github.com/zama-ai/concrete-ml/blob/release/1.2.x/use_case_examples/sentiment_analysis_with_transformer/README.md
Credit Scoring	Predict the chance of a given loan applicant defaulting on loan repayment	demo_credit.png	https://github.com/zama-ai/concrete-ml/blob/release/1.2.x/use_case_examples/credit_scoring/README.md
Healthcare diagnosis	Give a diagnosis using FHE to preserve the privacy of the patient	demo_health.png	https://github.com/zama-ai/concrete-ml/blob/release/1.2.x/use_case_examples/disease_prediction/README.md

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