Level: Low Tech

Abstract:

Ever wanted to create a detection but been unsure about how to actually write it? You know how to do it in X system but your employer uses Y?
This talk is for you, it will start out by explaining the uses and limitation of Large Language Models (LLMs), how to scrape convert reference material to make it useful for this purpose, and how to do Retrieval Augmented G
eneration, all on your own hardware!

Attendees need to bring laptop either running linux or a VM with linux in it and docker. Decent quality wifi because each person will be downloading ~ 5-10GB of data each during the workshop

Bio:

Richard Tweed is a Kubernetes specialist at Tessl. Over the last five years he has been ensuring security, scalability and compliance across all major Kubernetes cloud platforms. He’s also the lead maintainer of kube-audit-rest.

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