If you are paying attention to anything AI, I’m sure you have heard of large language models (LLMs). Besides LLMs, small language models are another type of data model that is becoming more popular as AI applications evolve. Learn more about SLMs here. However, there will be a need ...
Google's Personal Health Large Language Model provides a glimpse into its health coaching ambitions for the Fitbit app.
In health, most large language model (LLM) research has focused on clinical tasks. However, mobile and wearable devices, which are rarely integrated into such tasks, provide rich, longitudinal data for personal health monitoring. Here we present Personal Health Large Language Model (PH-LLM), fine...
With the passage of the Right to Be Forgotten (RTBF) regulations and the scaling up of language model training datasets, research on model unlearning in large language models (LLMs) has become more crucial. Before the era of LLMs, machine unlearning research focused mainly on classification task...
[NAACL Findings 2024] PersonaLLM: Investigating the Ability of Large Language Models to Express Personality Traits - hjian42/PersonaLLM
KeywordsIntelligentpersonalassistant·Largelanguagemodel·LLMagent·Mobiledevices·Intelligencelevels·Taskautomation·Sensing·Memory·Ef?ciency·Securityandprivacy 3 1介绍 科幻小说描绘了智能个人助理(IPA)的许多引人注目的角色,IPA是一种软件代理,可以增强个人的能力、完成复杂的任务,甚至满足情感需求。这些智能代理代...
“Exploring Large Language Models for Human Mobility Prediction under Public Events” (Liang et al., 2023, p. 1)arxiv “Penetrative AI: Making LLMs Comprehend the Physical World” (Xu et al., 2023, p. 1)arxiv “Evaluating Subjective Cognitive Appraisals of Emotions from Large Language Models...
ChatGPT is based on a large language model, so naming things should be one of the tasks that it’s good at! Try asking ChatGPT to rename the objects for you:You: Python import random num = random.randint(1, 100) i = None while i != num: i = int(input("Guess the number: "...
For more information on FSDP, please refer to Fine-tuning Llama 2 70B using PyTorch FSDP and Accelerate Large Model Training using PyTorch Fully Sharded Data Parallel. Resources Codebase: link. It uses the recently added Flash Attention V2 support in Transformers. FSDP Config: fsdp_config.y...
Sune Lehmann Jorgensen at the Technical University of Denmark and his colleagues used the data covering various aspects of 6 million people from 2008 to 2020 from Denmark. They changed the data into words that could be used to train a large language model, the same technology that powers other...