Personalization + Fine Tuning + Multimodal

20.0

Implement a modular memory layer for MLLMs that adapts to long-term user preferences. This is a critical component for building 'sticky' AI assistants.

emergingimplementation gap

fine-tuningpersonalizationinferencetrainingmultimodal

Signals (3)

arXiv11h ago

HUOZIIME: An On-Device LLM-enhanced Input Method for Deep Personalization

Google AI23h ago

New ways to create personalized images in the Gemini app

arXiv1d ago

Personalization + Fine Tuning + Multimodal

Signals (3)

HUOZIIME: An On-Device LLM-enhanced Input Method for Deep Personalization

New ways to create personalized images in the Gemini app

PersonaVLM: Long-Term Personalized Multimodal LLMs

Personalization + Fine Tuning + Multimodal

Signals (3)

HUOZIIME: An On-Device LLM-enhanced Input Method for Deep Personalization

New ways to create personalized images in the Gemini app

PersonaVLM: Long-Term Personalized Multimodal LLMs