Book Giveaway at the End The Expert Created a Translation Agent Leading figure in the field of artificial intelligence, Stanford University professor Andrew Ng, recently released an open-source project for a machine translation intelligent agent — translation-agent. This project implements a large model translation application based on a reflective workflow. Currently, this project has already … Read more
Will agents become the key to unlocking AGI? The Fudan NLP team comprehensively explores LLM-based Agents. Recently, the Fudan University Natural Language Processing team (FudanNLP) released a survey paper on LLM-based Agents, spanning 86 pages and citing over 600 references! The authors start from the history of AI Agents and provide a comprehensive overview of … Read more
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