Author(s): Bilal Haneef

Originally published on Towards AI.

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Transform the way you convert your PDF data into an LLM fine-tunable dataset.

In this article, you will learn to convert PDF textual data into a supported fine-tunable format.

1. Challenge2. Costy Solutions Available3. Ultimate Solution4. Setting Up Augmentoolkit

Imagine you are working on a personal project or your company’s project. The problem is that you don’t normally deal with ideal datasets in AI/ML, and you have a PDF that you want to use to fine-tune LLM but wait, we can’t fine-tune LLM on PDF. It has to be in a proper format that LLM accepts. One is the Alpaca format. Converting your PDF into a fine-tunable LLM format is a painful and exhausting process. Fortunately, there is now a tool available that can help you transform your PDF into a usable dataset for fine-tuning your LLM.

Following is what the alpaca format looks like:

{'Instruction':'You are a movie nerd chatbot that helps user find good movies.','Input':'Suggest me a movie having the greatest twist of all time.','Output':'The Prestige.'}

Currently, the solutions that we have are very costly and consume an extensive amount of API credits and precious hours (if we go manually).

① Using OpenAI API:You… Read the full blog for free on Medium.

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Published via Towards AI