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UID:pretalx-devconf-cz-2025-A93JWF@pretalx.devconf.info
DTSTART;TZID=CET:20250612T093000
DTEND;TZID=CET:20250612T100500
DESCRIPTION:The rise of generative AI is reshaping how we think about colla
 boration\, application development\, and daily life. It enables more effic
 ient solutions and better-informed decisions\, though the journey can feel
  overwhelming. Which foundation model should I use? How do I know if the p
 re-training datasets are unbiased or if the tuning and inference methods e
 nsure fairness? Can I trust the results from these models?\n\nThe key to n
 avigating this emerging path is adopting the flexibility\, transparency\, 
 and collaboration of open source that many of us are familiar with. What d
 oes this mean in practice? How can we equip ourselves and our communities 
 with the right tools and knowledge to dispel doubts and address uncertaint
 ies? Is there a more comforting light at the end of this confusing tunnel?
 \n\nSometimes it feels like there are more questions than answers. In this
  session\, we ask you to keep an open mind and explore possibilities with 
 us. We will discuss approaches to making AI tangible and actionable\, illu
 strating them with use cases and demos.
DTSTAMP:20260911T015510Z
LOCATION:D105 (capacity 300)
SUMMARY:Keynote: Fine-tuning our way towards openness in AI - Cedric Clybur
 n\, Carol Chen
URL:https://pretalx.devconf.info/devconf-cz-2025/talk/A93JWF/
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UID:pretalx-devconf-cz-2025-WMBRWB@pretalx.devconf.info
DTSTART;TZID=CET:20250613T140000
DTEND;TZID=CET:20250613T143500
DESCRIPTION:There’s an exciting potential for bootable containers\, which
  allow you to build and manage a full operating system just like a contain
 er image\, and recently\, Red Hat announced it’s intention to donate the
  tool to the Cloud Native Computing Foundation (CNCF). However\, for AI/ML
  workloads which require a complicated stack of dependencies\, this techno
 logy helps curate the delivery of a full stack for training and inferencin
 g\, for example with Red Hat Enterprise Linux AI. Join us as we put togeth
 er an operating system for running an AI-enabled application with CentOS S
 tream\, using an InstructLab fine-tuned model from our local developer wor
 kstation. With bootable containers\, our deployment workflow is simplified
 \, with flexibility for dynamic requirements and environments in building 
 the next generation of Linux workloads.
DTSTAMP:20260911T015510Z
LOCATION:E105 (capacity 70)
SUMMARY:Bootable Containers in Action: Hands on with Deploying AI Workloads
  - Cedric Clyburn\, Carol Chen
URL:https://pretalx.devconf.info/devconf-cz-2025/talk/WMBRWB/
END:VEVENT
BEGIN:VEVENT
UID:pretalx-devconf-cz-2025-BUWCHZ@pretalx.devconf.info
DTSTART;TZID=CET:20250613T153000
DTEND;TZID=CET:20250613T165000
DESCRIPTION:In the past year\, we’ve noticed how open source language mod
 els have now met or even exceeded the capabilities of proprietary AI model
 s. That’s fantastic\, but how can you get started customizing a model of
  your own\, to be an expert in whatever your use case might be? Traditiona
 lly it required extensive data science or ML engineering\, more hardware t
 han most of us will ever have\, and highly structured datasets. But now\, 
 various open source projects have emerged to simplify the fine-tuning proc
 ess\, where we teach a model how to learn new tricks\, saving costs\, impr
 oving accuracy\, and ensuring data privacy. \n\nWe encourage developers\, 
 AI engineers\, and all to join us in this workshop\, where you’ll help 4
 04 Airlines adopt generative AI through a domain-specific small language m
 odel. You’ll learn the fundamentals of model training and deployment\, h
 ow to incorporate real-time data with retrieval augmented generation (RAG)
 \, and model integration into a live application! Bring a laptop and let
 ’s take flight\, while using open source to customize and run our own la
 nguage model.
DTSTAMP:20260911T015510Z
LOCATION:A218 (capacity 20)
SUMMARY:Build your own language model with InstructLab & Open Source AI - C
 edric Clyburn\, Carol Chen
URL:https://pretalx.devconf.info/devconf-cz-2025/talk/BUWCHZ/
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