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Adding New Knowledge to LLMs (instructor-led)

Adding New Knowledge to LLMs is a full-day, hands-on, instructor-led NVIDIA workshop on turning an open-source language model into a domain specialist through evaluation, synthetic data, LoRA fine-tuning and preference optimisation.

Open at NVIDIA ↗Common questions

Who it suits

  • ML engineers who need models that follow local taxonomies and return reliable schemas.
  • Teams deciding between prompting, fine-tuning and preference optimisation.

What it covers

  • Building an evaluation that defines what better means for the task.
  • Generating targeted synthetic training data.
  • Training a LoRA adapter with supervised fine-tuning.
  • Improving responses with Direct Preference Optimization.

Common questions about Adding New Knowledge to LLMs (instructor-led)

Is there a self-paced version?
Yes. NVIDIA also lists a self-paced workshop of the same name, which has its own page here.
How is it taught?
As an instructor-led workshop; NVIDIA says to work with the instructor on timing for your session.
What does it cost?
NVIDIA lists instructor-led workshops as contact-us for pricing and dates, so check its page; they change.

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Where this comes from

Written from NVIDIA’s own pages, read on 2026-10-14. Content, prices and availability change, so the provider’s page is the source. We are not affiliated with NVIDIA and this is not an endorsement.