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Recommended experience
Beginner level
Anyone who wants to learn to tune an LLM, and learn to work with and build an LLMOps pipeline.
Recommended experience
Beginner level
Anyone who wants to learn to tune an LLM, and learn to work with and build an LLMOps pipeline.
Adapt an open source pipeline that applies supervised fine-tuning on an LLM to better answer user questions.
Learn best practices, including versioning your data and your models, and pre-process large datasets inside a data warehouse.
Learn responsible AI by outputting safety scores on sub-categories of harmful content.
September 2024
Only available on desktop
In this course, you’ll go through the LLMOps pipeline of pre-processing training data for supervised instruction tuning, and adapt a supervised tuning pipeline to train and deploy a custom LLM. This is useful in creating an LLM workflow for your specific application. For example, creating a question-answer chatbot tailored to answer Python coding questions, which you’ll do in this course.
Through the course, you’ll go through key steps of creating the LLMOps pipeline: 1. Retrieve and transform training data for supervised fine-tuning of an LLM. 2. Version your data and tuned models to track your tuning experiments. 3. Configure an open-source supervised tuning pipeline and then execute that pipeline to train and then deploy a tuned LLM. 4. Output and study safety scores to responsibly monitor and filter your LLM application’s behavior. 5. Try out the tuned and deployed LLM yourself in the classroom! 6. Tools you’ll practice with include BigQuery data warehouse, the open-source Kubeflow Pipelines, and Google Cloud.
DeepLearning.AI is an education technology company that develops a global community of AI talent. DeepLearning.AI's expert-led educational experiences provide AI practitioners and non-technical professionals with the necessary tools to go all the way from foundational basics to advanced application, empowering them to build an AI-powered future.
Hands-on, project-based learning
Practice new skills by completing job-related tasks with step-by-step instructions.
No downloads or installation required
Access the tools and resources you need in a cloud environment.
Available only on desktop
This project is designed for laptops or desktop computers with a reliable Internet connection, not mobile devices.
Duke University
Course
Course
Specialization
DeepLearning.AI
Course
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