Categories: FAANG

Multimodal Large Language Models with Fusion Low Rank Adaptation for Device Directed Speech Detection

Although Large Language Models (LLMs) have shown promise for human-like conversations, they are primarily pre-trained on text data. Incorporating audio or video improves performance, but collecting large-scale multimodal data and pre-training multimodal LLMs is challenging. To this end, we propose a Fusion Low Rank Adaptation (FLoRA) technique that efficiently adapts a pre-trained unimodal LLM to consume new, previously unseen modalities via low rank adaptation. For device-directed speech detection, using FLoRA, the multimodal LLM achieves 22% relative reduction in equal error rate (EER) over…
AI Generated Robotic Content

Recent Posts

Extra finger, mutated fingers, malformed, deformed hand,

submitted by /u/NetPlayer9 [link] [comments]

21 hours ago

Decision Trees Aren’t Just for Tabular Data

Versatile, interpretable, and effective for a variety of use cases, decision trees have been among…

21 hours ago

Netflix Tudum Architecture: from CQRS with Kafka to CQRS with RAW Hollow

By Eugene Yemelyanau, Jake GriceIntroductionTudum.com is Netflix’s official fan destination, enabling fans to dive deeper into…

21 hours ago

New capabilities in Amazon SageMaker AI continue to transform how organizations develop AI models

As AI models become increasingly sophisticated and specialized, the ability to quickly train and customize…

21 hours ago

$8.8 trillion protected: How one CISO went from ‘that’s BS’ to bulletproof in 90 days

Clearwater Analytics CISO Sam Evans dodged a bullet by blocking shadow AI from exposing data…

22 hours ago

The 7 Best Prime Day Action Camera Deals for Thrill Seekers (2025)

Action cameras are perfect for travel, social media vlogging, and careening around the lake on…

22 hours ago