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Open-source development - Tutorials - IBM Developer
IBM Developer

Open-source development

Tutorials

Tutorial

Contributing knowledge to the open source Granite model using InstructLab

Learn how to contribute knowledge to open source large language models (LLMs), such as the Granite models, on your personal laptop or Mac device using the InstructLab v0.18.x environment.

InstructLab

Tutorial

Contributing knowledge to open-source LLMs like the Granite models using the InstructLab UI

Learn how to contribute to open source large language models (LLMs), such as the IBM Granite models, using InstructLab UI.

InstructLab

Tutorial

Running InstructLab in a Jupyter Notebook on Colab with a GPU

Learn how to prepare input files and test fine-tuned output models using InstructLab on Colab

InstructLab

Tutorial

Developing with quantum-safe OpenSSL

In this tutorial, learn how to set up OpenSSL and how to configure it to use quantum-safe encryption algorithms.

Quantum safe

Tutorial

Fine-tune a Granite model using InstructLab

Learn how to fine-tune the IBM Granite LLM to create a specialized LLM using InstructLab, an open-source framework that enables localized training without requiring GPUs or large volumes of human-generated data. Gain hands-on experience in fine-tuning LLMs, generating synthetic data, and training specialized models.

InstructLab

Tutorial

Contributing knowledge to open source LLMs using InstructLab

Learn how to contribute knowledge to open-source LLMs using InstructLab. Learn how to use InstructLab to identify gaps in the model's knowledge, by chatting with the model, and create a knowledge contribution to contribute to its taxonomy.

InstructLab

Tutorial

Creating a custom serving runtime in KServe ModelMesh

In this tutorial, learn how to serve your custom models by using ModelMesh Serving.

Open Source AI

Tutorial

Use Kubernetes WithOut Kubelet to simulate a large Kubernetes or Red Hat OpenShift cluster

Create simulated Kubernetes worker nodes and launch simualted pods to simulate and test a large cluster at scale.

Open-source development

Tutorial

Serving AI Models from Kubernetes Persistent Volumes with KServe ModelMesh

In this tutorial, learn how to configure ModelMesh Serving to use Kubernetes "built-in" storage via persistent volumes.

Open Source AI

Tutorial

Get started with KServe ModelMesh for multi-model serving

Learn about some of ModelMesh's features and core resources like the ServingRuntime and the InferenceService, all while deploying and inferencing your first model deployed on your own ModelMesh Serving instance.

Open Source AI
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