Implementing Skip-Gram Model with TensorFlow

Implementing Skip-Gram Model with TensorFlow

Author丨Tian Yu Su Zhihu Column丨Machine Learning Link丨https://zhuanlan.zhihu.com/p/27296712 Introduction The second practical code is updated. The previous column introduced the Skip-Gram model in Word2Vec. If you have read it, you can directly start implementing your own Word2Vec model using TensorFlow. This article will use TensorFlow to complete the Skip-Gram model. If you are not familiar with … Read more

New PyTorch API: Implementing Various Attention Variants with FlashAttention Performance

New PyTorch API: Implementing Various Attention Variants with FlashAttention Performance

MLNLP community is a well-known machine learning and natural language processing community both domestically and internationally, covering NLP graduate students, university professors, 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 both domestically and internationally, especially for … Read more

Multimodal Prompt Tuning: How Effective Are You?

Multimodal Prompt Tuning: How Effective Are You?

MLNLP community is a well-known machine learning and natural language processing community both domestically and internationally, covering NLP master’s and doctoral students, university teachers, and researchers from enterprises. The community’s vision is to promote communication and progress between the academic and industrial sectors of natural language processing and machine learning at home and abroad, especially … Read more

Overview of Multimodal Sentiment Analysis

Overview of Multimodal Sentiment Analysis

Follow the official account “ML_NLP“ Set as “Starred“, delivering heavy content promptly! Introduction With the rapid development of social networks, the ways people express themselves on platforms have become increasingly rich, such as expressing emotions and opinions through images, text, and videos. Analyzing the emotions in multimodal data (this article refers to sound, images, and … Read more

Summary of NLP and CV Fusion in Multimodal Systems

Summary of NLP and CV Fusion in Multimodal Systems

Follow the WeChat public account “ML_NLP“ Set it as “Starred“, delivering heavy content at the first time! Reprinted from | NLP from Beginner to Abandon Written by | Sanhe Factory Girl Edited by | zenRRan The first exposure to multimodal was a Douyin recommendation project, which involved some videos, titles, user likes, collections, etc., to … Read more

How to Use Multi-Type Data to Pre-Train Multimodal Models?

How to Use Multi-Type Data to Pre-Train Multimodal Models?

Click on the "Xiao Bai Learns Vision" above, select to add a "star" or "top". Important content delivered to you first. Guide to Extreme City This article reviews four papers on achieving multi-task unification in data or model structure, introducing the research direction of incorporating multiple types of data in the optimization of multimodal models. … Read more

Deep Learning Advancements in Multimodal AI Models

Deep Learning Advancements in Multimodal AI Models

It has been a whole year since the emergence of ChatGPT, GPT-4, and other innovations that sparked a new wave of transformation in artificial intelligence. During this year, numerous companies both domestically and internationally have entered the “arena” of large models, accelerating the iteration and leap of large model technologies. The unprecedented capability of large … Read more

HuggingFace’s Experiments Reveal Effective Tricks for Multimodal Large Models

HuggingFace's Experiments Reveal Effective Tricks for Multimodal Large Models

MLNLP community is a well-known machine learning and natural language processing community, covering domestic and international NLP master’s and doctoral students, university teachers, and corporate researchers. Community Vision is to promote communication and progress between the academic and industrial sectors of natural language processing and machine learning, especially for the progress of beginners. Reprinted from … Read more

How to Handle Missing Modalities? A Comprehensive Review of Deep Multimodal Learning with Missing Modalities

How to Handle Missing Modalities? A Comprehensive Review of Deep Multimodal Learning with Missing Modalities

MLNLP community is a renowned machine learning and natural language processing community both domestically and internationally, covering NLP graduate students, university professors, and corporate researchers. The Vision of the Community is to promote communication and progress between the academic and industrial sectors of natural language processing and machine learning, especially for beginners. Reprinted from | … Read more

An Overview of Multi-Modal Summarization

An Overview of Multi-Modal Summarization

MLNLP ( Machine Learning Algorithms and Natural Language Processing ) community is a well-known natural language processing community both domestically and internationally, covering NLP master’s and Ph.D. students, university professors, and researchers in enterprises. The vision of the community is to promote communication between the academic and industrial communities of natural language processing and machine … Read more