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33 lines
1.1 KiB
33 lines
1.1 KiB
1 year ago
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Finetuning Large Language Models
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"Finetuning Large Language Models"
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https://www.deeplearning.ai/short-courses/finetuning-large-language-models/
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https://learn.deeplearning.ai/finetuning-large-language-models/lesson/1/introduction
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Taught by Sharon Zhou
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Free course, registration required.
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From the course website:
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"Join our new short course, Finetuning Large Language Models! Learn
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from Sharon Zhou, Co-Founder and CEO of Lamini, and instructor for the
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GANs Specialization and How Diffusion Models Work.
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When you complete this course, you will be able to:
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* Understand when to apply finetuning on LLMs
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* Prepare your data for finetuning
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* Train and evaluate an LLM on your data
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With finetuning, you're able to take your own data to train the model
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on it, and update the weights of the neural nets in the LLM, changing
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the model compared to other methods like prompt engineering and
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Retrieval Augmented Generation. Finetuning allows the model to learn
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style, form, and can update the model with new knowledge to improve
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results."
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