Yes, BYOLLM, Bring your own LLM, but you have to host the models with LM Studio, Ollama, vLLM, llama.cpp, etc.

Plattform für vollständig KI-automatisiertes Continuous-Threat-Exposure-Management

#Bedrohungsmanagement #BYOLLM #ContinuousThreatExposureManagement #CTEM カフネ #KIAgent #MCPServer #ThreatIntelligence #XTMOne

netzpalaver.de/2026/...

Fascinating chat with @aantn on the future of observability:

🤖 How BYOLLM is the way forward
🚀 AI supercharging incident response
📈 HolmesGPT's impact on MTTR

All open source, all epic!

youtube.com/live/ruVHFt2...

That's awesome! BYOLLM with those hosting options really unlocks powerful local workflows and gives builders so much more control. Exactly what you want for robust, private setups.

The steelman case here is "companies are throwing tons of money at enterprise plans and in-house fine-tuned models that have poor adoption among employees, which they'll eventually realize and give up on."

There's truth in that, but in part because many of those employees just BYOLLM.

LinkedIn Konversationen derailen irgendwie immer:

Heute:
Byollm: bring your own LLM

@brahms

Another feature that is also going way down the well is the support for BYOLLM (bring your own LLM; self hosted LLM).