molbal/llm-text-completion-finetune
Guide on text completion large language model fine-tuning, including example scripts and training data acquiring.
This guide helps you create a custom text completion AI model from your own written content. You'll input raw text documents, process them into a structured dataset, and then use that data to fine-tune an existing large language model. This is for developers or technical practitioners who want to build specialized generative AI for specific content domains, like long-form writing or technical documentation.
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Use this if you need to adapt a base large language model to generate text that aligns with a specific style, topic, or corpus of documents you provide.
Not ideal if you're looking for a production-ready system or if your goal is to fine-tune an instruction-following model.
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Language
Python
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Apache-2.0
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Last pushed
Feb 24, 2025
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