# Custom model development
URL: https://docs.datarobot.com/en/docs/api/dev-learning/accelerators/custom-model-dev/index.html

> Custom model development accelerators that you can add to your experiment workflow.

# Custom model development

| Topic | Description |
| --- | --- |
| Create and deploy a custom model | How to create, deploy, and monitor a custom inference model with DataRobot's Python client. You can use the Custom Model Workshop to upload a model artifact to create, test, and deploy custom inference models to DataRobot’s centralized deployment hub. |
| Custom blueprints with Composable ML | Customize models on the Leaderboard using the Blueprint Workshop. |
| GraphSAGE custom transformer | Convert a tabular dataset into a graph representation, train a GraphSAGE-based neural network, and package the solution as a DataRobot custom transformer. |
| Google Gemini integration | Implement a Streamlit application based on Google Gemini LLM and host it on the DataRobot platform with Vertex AI integration. |
| GIN financial fraud detection | Integrate a Graph Isomorphism Network (GIN) as a custom model task in DataRobot using DRUM. |
| Llama 2 on GCP | Host Llama 2 on Google Cloud Platform with cost comparisons, infrastructure details, and integration with DataRobot's custom model framework. |
| LLM custom inference template | The LLM custom inference model template enables you to deploy and accelerate your own LLM, along with "batteries-included" LLMs like Azure OpenAI, Google, and AWS. |
| Mistral 7B on GCP | Host Mistral 7B on Google Cloud Platform with infrastructure setup, cost considerations, and DataRobot integration for monitoring and deployment. |
| Reinforcement learning | Implement a model based on the Q-learning algorithm. |
| Scoring Code microservice | Follow a step-by-step procedure to embed Scoring Code in a microservice and prepare it as the Docker container for a deployment on customer infrastructure (it can be self- or hyperscaler-managed K8s). |
| Optimize custom model metrics with hyperparameter tuning | Improve DataRobot models using custom loss functions and advanced hyperparameter tuning. |

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