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IBM Granite 3B fine-tuned for structured JSON extraction with QLoRA

This article provides a technical guide on fine-tuning the IBM Granite 3B model using the QLoRA technique. The goal is to enhance the model's ability to extract structured JSON data reliably from text. The process involves adapting the model to specific output formats, which is crucial for integrating AI into real-world software applications. AI

IMPACT Enables more reliable integration of AI models into applications requiring structured data output.

RANK_REASON The item describes a technical guide for fine-tuning an existing model for a specific task, which falls under research. [lever_c_demoted from research: ic=1 ai=1.0]

Read on Medium — fine-tuning tag →

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IBM Granite 3B fine-tuned for structured JSON extraction with QLoRA

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  1. Medium — fine-tuning tag TIER_1 English(EN) · DamenC ·

    How to Fine-Tune IBM Granite 3B with qLoRA for Guaranteed Structured JSON Extraction

    <div class="medium-feed-item"><p class="medium-feed-image"><a href="https://medium.com/@cd_24/how-to-fine-tune-ibm-granite-3b-with-qlora-for-guaranteed-structured-json-extraction-65260e8f4530?source=rss------fine_tuning-5"><img src="https://cdn-images-1.medium.com/max/2600/0*3iGE…