# @awseventschannel on YouTube

- **Type:** Video
- **Original URL:** https://youtube.com/watch?v=tS0uI6-CMDk
- **Gondola URL:** https://gondola.cc/posts/60967011-awseventschannel-youtube
- **Thumbnail:** https://img.gondola.cc/tr:w-,h-,fo-auto/postThumbnails/9ece288138.jpg
- **Posted:** 2026-03-20T17:22:26.000+00:00
- **Account Owner:** AWS Events (@awseventschannel) — https://gondola.cc/awseventschannel

## Caption

LLM customization promises better quality and control, but reality is mixed. This talk reviews what works well in practice, what disappoints, and what remains hard even for experienced teams. It contrasts common customization paths across Bedrock and SageMaker, drawing on real trade-offs in data, cost, and operational burden. Along the way, it highlights failure modes, hidden constraints, and sharp edges that rarely make it into blogs. The perspective is practical rather than theoretical, drawn from ML engineers who work on these problems every day. 

Daniel Zagyva, Sr. Delivery Consultant - AI/ML - AWS; Laurens van der Maas, Delivery Consultant AI/ML - AWS; Aleksandra Dokic, Sr. Delivery Consultant AI/ML - AWS; Mark Andrews, Senior Principal, Product Management - AWS. Recorded at the 5th annual AWS AI and Data Conference 2026 on March 12, 2026 at the Lyrath Convention Centre, Kilkenny, Ireland.

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ABOUT AWS
Amazon Web Services (AWS) hosts events, both online and in-person, bringing the cloud computing community together to connect, collaborate, and learn from AWS experts. AWS is the world’s most comprehensive and broadly adopted cloud platform, offering over 200 fully featured services from data centers globally. Millions of customers—including the fastest-growing startups, largest enterprises, and leading government agencies—are using AWS to lower costs, become more agile, and innovate faster.

#AWSEvents #AWSAIandDataConference #MachineLearning #AmazonBedrock #SageMaker #AI

## Stats

- **Views:** 375
- **Likes:** 2
- **Shares:** 0
- **Comments:** 0

## Tags

amazonbedrock, awsaianddataconference, machinelearning, sagemaker, ai, awsevents

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