Tag: InstructLab
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Evaluating a Tuned Granite Model With MMLU and MT-Bench (Red Hat Gen AI Series, Part 11)
How to score a tuned Granite model honestly on RHEL AI with MMLU, MT-Bench, MMLU Branch and DK-Bench, and why the branch scores, not MMLU, decide whether to ship.
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Fine Tuning Granite With InstructLab Multi Phase Alignment (Red Hat Gen AI Series, Part 10)
Run lab-multiphase training on RHEL AI to tune Granite on your own docs, read the checkpoints MT-Bench actually picks, and avoid the restart prompt that wipes hours of work.
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InstructLab Taxonomy and Synthetic Data Generation on RHEL AI (Red Hat Gen AI Series, Part 9)
Building an InstructLab knowledge taxonomy and running synthetic data generation on RHEL AI, from qna.yaml seed examples to the training JSONL that Part 10 tunes on.
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InstructLab and the LAB Method for Taxonomy Driven Alignment (Red Hat Gen AI Series, Part 5)
InstructLab turns a handful of hand written questions into thousands of training examples. Here is how the LAB method and a taxonomy tree tune a Granite model on your own documents.
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InstructLab on watsonx, from Taxonomy to Aligned Model (IBM Gen AI Series, Part 12)
InstructLab teaches a Granite model new skills from a handful of hand written examples, using a taxonomy, synthetic data generation, and phased training. Here is how it works on watsonx.ai and when to reach for it.
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About the Author
Dr Pranay Jha
Dr. Pranay Jha is a Cloud and AI Consultant with 18+ years of experience in hybrid cloud, virtualization, and enterprise infrastructure transformation. He specializes in VMware technologies, multi-cloud strategy, and Generative AI solutions. He holds a PhD in Computer Applications with research focused on Cloud and AI, has published multiple research papers, and has been a VMware vExpert since 2016 and a VMUG Community Leader.
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