kevintsai/Finetuning-Large-Language-Models
Jupyter notebooks for course Finetuning Large Language Models, taught by Sharon Zhou (Lamini) and Andrew Ng (DeepLearning.AI).
This project provides Jupyter notebooks that teach you how to specialize Large Language Models (LLMs) to better understand and generate text based on your specific information. You'll learn to take a general LLM and tailor it with your own datasets, resulting in a model that performs tasks like summarization or content generation with greater accuracy for your particular use case. This is ideal for data scientists, machine learning engineers, and researchers looking to customize LLMs without building one from scratch.
No commits in the last 6 months.
Use this if you want to make an existing Large Language Model perform better on tasks related to your unique data, like generating marketing copy in your brand's voice or summarizing scientific papers from your field.
Not ideal if you are looking for a simple API to use a pre-trained general LLM out-of-the-box without any customization, or if you want to build an LLM from scratch.
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Python
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Last pushed
Oct 21, 2023
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