©PaperWeekly Original · Author | Su Jianlin Unit | Dark Side of the Moon Research Direction | NLP, Neural Networks LoRA (Low-Rank Adaptation) is one of the parameter-efficient fine-tuning methods for current LLMs. Previously, we briefly discussed it in “LoRA from a Gradient Perspective: Introduction, Analysis, Speculation, and Promotion”. In this article, we will learn … Read more
Introduction With the continuous expansion of model scale, the feasibility of fine-tuning all parameters of the model (so-called full fine-tuning) is becoming increasingly low. Taking GPT-3 with 175 billion parameters as an example, each new domain requires a complete fine-tuning of a new model, which is very costly! Paper: LORA: LOW-RANK ADAPTATION OF LARGE LANGUAGE … Read more
Artificial Intelligence plays a crucial role in realizing the functionalities of the Internet of Things. Let us explore the key technologies and techniques that drive the integration of AI and IoT, empowering intelligent and autonomous systems. Machine Learning Algorithms for Analyzing IoT Data using AI Machine learning forms the foundation of IoT AI, enabling devices … Read more