20241230 영어 공부 feat. On-device LLM

Step1. 준비 없이 스피킹 해보기

Thesedays, they're a lots of comprehensive frameworks well designed to develop and apply model to ai application.  Reducing parameter in the model results in lesser expensive training and inference resources and there are more benefits like a dramatic reduction in the latency and real-time interactions with application regardless of network conditions.

 

 

Step2. 인풋을 통해 실력 업그레이드

인풋글: https://www.qualcomm.com/news/onq/2024/04/multimodal-generative-ai-tech-driving-enhanced-on-device-generative-ai-experiences

 

Although generative artificial intelligence (AI) is already showing emergent and transformational capabilities, there is still much room for improvement.

 

We showed Large Language and Vision Assistant (LLaVA), a more than 7 billion-parameter LLM that can accept multiple types of data inputs, including text and images, and generate multi-turn conversations about an image.

 

Making AI models that better understand contextual information is necessary for better answers and improved experiences, and multimodal generative AI is just one of the latest transformative technologies coming soon to your next device. 

 

We are excited to see visual, voice and audio modalities already being enabled through on-device LLMs and look forward to even more modalities being added.

 

Consumers want devices to automatically use contextual information and custom preferences from their smartphones’ data and sensors to make experiences more intuitive and seamless, like suggesting restaurants for a meal based on current location, time of day and preferred food choices

 

 

Step3. 학습

출처: https://techbrad.tistory.com/116 [Techbrad:티스토리]