arXiv:2610.14209 explores a hybrid setup where cloud-written agent programs call out to small local models for runtime questions about user data, improving AppWorld success by up to 14.9 points across all six…

#EdgeAI #SmallLanguageModels #AgenticAI #CloudEdge
https://arxiv.org/abs/2610.14209

Un nuevo episodio de 'Código abierto' en que dialogo con @adefuros.bsky.social sobre el lanzamiento de #Jev por TypeSafeAI y sus implicaciones: "El if después del LLM" open.spotify.com/episode/30ig... #Jev #LLM #LargeLanguageModels #SLM #SmallLanguageModels #Harness

Small language models run on-prem, respond in milliseconds, and keep PHI safe.

Dive into our blog: zurl.co/ZN9W6

#Healthcare #SmallLanguageModels

A new training-free framework called PTC-Decoder lets small language models run multi-step agent tasks reliably on offline edge devices like satellites, by enforcing planning and tool calls through hard token-level…

#EdgeAI #SmallLanguageModels #TinyML #AIHardware
https://arxiv.org/abs/2609.30836

🎙️ Superwhisper S1 Mini is a 462 MB small language model that cleans raw ASR transcripts on device.

Zero cloud. Zero latency. 94.8% accuracy.

The strategic shift is here 👇
aiadoptionagency.com/superwhisper...

#AI #SmallLanguageModels

Not every AI feature needs a frontier model.
SLM for volume, LLM for complexity. Define "good" before you fine-tune.
Read our blog for more: zurl.co/w4tWR

#SmallLanguageModels #AIEngineering

Where does your data go once you paste it into a chatbot? SLMs keep it private: no cloud, no leaks.
Read more: zurl.co/8oqiU

#PrivateAI #SmallLanguageModels #DataPrivacy

Most SaaS teams route every AI feature through a giant LLM.
They don't realize what they're losing.
Small models cost less, respond faster, keep data private.
Read more: zurl.co/BYZzE
#SmallLanguageModels #SaaS

Shared on the GBTI Network: "Why I Run 2–4 GB AI Models 24/7" https://youtu.be/9LkxI2H3gI0 #ai #LocalAi #SmallLanguageModels #HomeServer #llm