Thomas Bley has updated his presentation on running Large Language Models locally. The update includes sandboxing for OpenCode and llama.cpp using Nono and Landlock, along with a new slide detailing jailbreaks with DeepInception. AI
IMPACT Provides technical insights for running LLMs locally, focusing on sandboxing and security.
RANK_REASON The item describes an update to a presentation about running LLMs locally, including technical details on sandboxing and jailbreaks.
Read on Mastodon — mastodon.social →
- DeepIncept: Diversify Performance Counters with Deep Learning to Detect Malware
- landlocked country
- llama.cpp
- Mastodon
- Nono
- openCode
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