Machine learning and AI projects require managing diverse data sources, vast data volumes, model and parameter development, and conducting numerous test and evaluation experiments. Overseeing and tracking these aspects of a program can quickly become an overwhelming task.
What you'll learn
Learn to evaluate programs utilizing LLMs as well as generative image models using platform-independent tools
Instrument a training notebook, and add tracking, versioning, and logging
Implement monitoring and tracing of LLMs over time in complex interactions
Skills you'll practice
Details to know
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Only available on desktop
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About this project
Instructor
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How you'll learn
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.
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Frequently asked questions
In Projects, you'll complete an activity or scenario by following a set of instructions in an interactive hands-on environment. Projects are completed in a real cloud environment and within real instances of various products as opposed to a simulation or demo environment.
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