Tagged “on device ai”
Governance
On-Device Scam Detection: What to Verify Before Deployment
A source listing promises a scam-detection model but supplies no evidence. Here is what to verify on data flows, performance, devices, updates and post-flag actions before deploying.
Models
LFM2.5-24B-A2B for On-Device Agents: What Deployment Teams Need to Verify
Liquid AI reports fast decoding on two devices, but memory needs, configuration details and privacy behavior are left for your team to verify.
Infrastructure
Deepgram's Air-Gapped Voice AI Push Leaves Deployment Questions Unanswered
Deepgram says it wants its models running natively on air-gapped laptops, but the report gives no hardware, latency or update details. Here is what to ask before a pilot.