NLP

Differences Between LoRA and Full Fine-Tuning Explained in MIT Paper

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Differences Between LoRA and Full Fine-Tuning Explained in MIT Paper

MLNLP community is a well-known machine learning and natural language processing community both domestically and internationally, covering NLP graduate students, university teachers, and corporate researchers. The vision of the community is to promote communication and progress between the academic and industrial circles of natural language processing and machine learning, especially for beginners. Reprinted from | … Read more

AI Agents Pioneer CAMEL: The First Large Model Multi-Agent Framework

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AI Agents Pioneer CAMEL: The First Large Model Multi-Agent Framework

MLNLP community is a well-known machine learning and natural language processing community at home and abroad, covering domestic and foreign NLP master’s and doctoral students, university teachers, and enterprise researchers. The vision of the community is to promote communication and progress between the academic and industrial circles of natural language processing and machine learning at … Read more

Exploring Intelligent Agents with Professor Andrew Ng

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Exploring Intelligent Agents with Professor Andrew Ng

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

Fudan NLP Team Releases 80-Page Overview of LLM-based Agents

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Fudan NLP Team Releases 80-Page Overview of LLM-based Agents

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

Enhancing Smart Home Device Interaction with TensorFlow

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Enhancing Smart Home Device Interaction with TensorFlow

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

Understanding LoRA from a Gradient Perspective

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Understanding LoRA from a Gradient Perspective

©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

Build Your Own Smart Chatbot with Python

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Build Your Own Smart Chatbot with Python

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

SpaCy – The Expert in Language Processing, An Industrial-Grade NLP Library

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SpaCy - The Expert in Language Processing, An Industrial-Grade NLP Library

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

Stronger Small LLM: Zephyr-7B

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Stronger Small LLM: Zephyr-7B

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

Exploring Modular Characteristics of LoRA with LoraHub

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Exploring Modular Characteristics of LoRA with LoraHub

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