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RHEL 201 Session #2 - Fine Tuning and deploying LLMs on RHEL AI: Technical Deep Dive

Audience: Delivery, Developer, Seller, Technical Seller

Unlock the power of your enterprise data with LLMs on RHEL AI! Join our session to discover how to easily fine-tune and deploy these models – no data science expertise required. If you attended our March/April RHEL AI overview (recordings available on Ascend), you're already a step ahead. We'll showcase the fine-tuning process, deploy the resulting model, and compare it against the original. This technical session delves into the complete lifecycle of Granite models within RHEL AI, from fine-tuning to inference, highlighting valuable use cases for enriching large language models with your specific knowledge.

Agenda

Fine Tuning and deploying LLMs on RHEL AI: Technical Deep Dive

  • Demonstrate steps to fine tune your model without any data science skill set
  • Deployed fine tuned model and compare the results with base model

Speaker: Puneet Batra, Associate Principal Solution Architect, Red Hat

Training Schedule

Date
Event Type
Location
date:
03 Jun 2025
type:
Online instructor-led
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Ascend Engage on Air

Ascend Engage on Air is aimed at engaging the developer community with a series of interesting topics/events about Red Hat technologies. The sessions include workshops, product portfolio updates, and awareness campaigns.

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