Prompt Engineering Jobs: Your 2025 Career Guide
January 14, 2025
Article
(473 reviews)
Recommended experience
Intermediate level
Python familiarity, and an understanding of a deep learning framework such as PyTorch.
(473 reviews)
Recommended experience
Intermediate level
Python familiarity, and an understanding of a deep learning framework such as PyTorch.
Understand when to apply finetuning on LLMs
Prepare your data for finetuning
Train and evaluate an LLM on your data
Only available on desktop
In this short course, you’ll learn essential finetuning concepts and how to train a large language model using your own data. You’ll be equipped to incorporate the latest techniques to optimize your model and produce transformative results.
When you complete this course, you will be able to: Understand when to apply finetuning on LLMs Prepare your data for finetuning Train and evaluate an LLM on your data With finetuning, you’re able to take your own data to train the model on it, and update the weights of the neural nets in the LLM, changing the model compared to other methods like prompt engineering and Retrieval Augmented Generation. Finetuning allows the model to learn style, form, and can update the model with new knowledge to improve results.
We asked all learners to give feedback on our instructors based on the quality of their teaching style.
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.
473 reviews
73.57%
20.50%
3.80%
1.90%
0.21%
Showing 3 of 473
Reviewed on Nov 25, 2023
Great course to learn about fine tuning, what it is, what it can accomplish and what the fundamental steps are in being able to achieve it.
Reviewed on Nov 9, 2023
Right on point for someone looking to start learning about LLM finetuning
Reviewed on Oct 10, 2024
Very helpful to get basic knowledge of fine-tuning LLMs.
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