Today, let’s talk about how to use TensorFlow to enhance the interaction experience of smart home devices. Imagine that your smart speaker is no longer just capable of playing music or checking the weather, but can truly understand your needs and even predict your behavior. Isn’t that cool? Speech Recognition and Natural Language Processing The … Read more
©PaperWeekly Original · Author | Su Jianlin Affiliation | Zhuiyi Technology Research Area | NLP, Neural Networks With the popularity of ChatGPT and its alternatives, various parameter-efficient fine-tuning methods have also gained traction, among which one of the most popular is the focus of this article, LoRA, originating from the paper “LoRA: Low-Rank Adaptation of … Read more
1. Introduction The booming development and wide application of chatbots In the e-commerce customer service sector, chatbots respond to customer inquiries at any time, quickly answer product questions, handle after-sales issues, improve customer service efficiency, and reduce labor costs; on social platforms, they can chat with users, play games, and enhance interactive fun; in smart … Read more
Introduction In the industrial applications of natural language processing (NLP), SpaCy serves as an experienced language processing expert. It provides Python developers with efficient and precise NLP solutions capable of handling large-scale and high-demand text processing tasks. Whether processing vast amounts of documents, building intelligent search engines, or developing complex language-related applications, SpaCy demonstrates exceptional … Read more
ZEHPYR-7B is one of the next-generation large language models (LLMs) that has gained significant popularity in the AI community. The model was created by Hugging Face and is essentially a fine-tuned version of Mistral-7B trained on public datasets, optimized through knowledge distillation techniques. This model has achieved incredible results, surpassing many larger models across various … Read more
Machine Heart reports Editor: Panda Low-Rank Adaptation (LoRA) is a commonly used fine-tuning technique that allows foundational LLMs to efficiently adapt to specific tasks. Recently, researchers from Singapore’s Sea AI Lab, Washington University in St. Louis, and the Allen Institute for AI proposed a new learning method called LoraHub, which enables LLMs to adapt to … Read more
©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