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Lightning Talk · 7 min

A Practical Guide to Fast and Private LLMs

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Time and room for this session are published in October. when the timetable goes live.

A set of practical tips and tools for hobbyists and teams to run their own LLM in a private and sustainable setup. This talk gives people hands-on knowledge to decide on the right LLM architecture, how to optimize it, which hardware to run it on, and what software stack to go for. A whirlwind tour of how to roll your own AI for fun and profit.

Main tools & technology
Llama.cpp, Ollama, vLLM
Topics
Local AI, Inference & Open Models
Sponsors & Partners
Main Sponsor
copebit — Main Sponsor
Gold
AWS
Silver
Atlassian Flagsmith namespace re:cinq
Hands-On
OpenAI — Workshop Partner
End-User
Migros Online — End User Partner
Education
FHNW Hochschule für Informatik — Educational Partner
Bronze
BI Concepts Noser Engineering Puzzle ITC Team Extension Your Sidekicks AG
Community
AI & ML Events CH Open dev.events Java User Group Switzerland Rocket Engineers SwissDevJobs ZurichJS Conference