Step-by-Step Guide to Creating a Drake Lyric Generator with Python and LSTM

Step-by-Step Guide to Creating a Drake Lyric Generator with Python and LSTM

Produced by Big Data Digest Compiled by: Fei, Ni Ni, Mix Candy, QianTian Pei The main application of AI in the future is to establish networks that can learn from data and then generate original content. This idea has been fully applied in the field of Natural Language Processing (NLP), which is also why the … Read more

Understanding LSTM Followed by CRF

Understanding LSTM Followed by CRF

Follow the public account “ML_NLP“ Set as “Starred“, delivering heavy content to you first! Source | Zhihu Address | https://www.zhihu.com/question/62399257/answer/241969722 Author | Scofield Editor | Machine Learning Algorithms and Natural Language Processing Public Account This article is for academic sharing only. If there is an infringement, please contact us to delete the article. To put … Read more

Understanding Transformer Architecture and Attention Mechanisms

Understanding Transformer Architecture and Attention Mechanisms

This article will cover three aspects of the essence of Transformer, the principles of Transformer, and the applications of Transformer, helping you understand Transformer (overall architecture & three types of attention layers) in one article. Transformer 1. Essence of Transformer The origin of Transformer:The Google Brain translation team proposed a novel simple network architecture called … Read more

Principles Of Implementation For AutoGPT And HuggingGPT

Principles Of Implementation For AutoGPT And HuggingGPT

Recently, AutoGPT and HuggingGPT have become extremely popular. They automatically make decisions using the ChatGPT large model and call upon other models to achieve a high degree of automated decision-making, expanding the application scope of large models. However, the most critical aspect is understanding their specific implementation principles and how they operate internally, which is … Read more

Defeating GPT-3 with 1/10 Parameter Size: In-Depth Analysis of Meta’s LLaMA

Defeating GPT-3 with 1/10 Parameter Size: In-Depth Analysis of Meta's LLaMA

Yann LeCun announced on February 25, 2023, Beijing time, that Meta AI has publicly released LLaMA (Large Language Model Meta AI), a large language model that includes four parameter sizes: 7 billion, 13 billion, 33 billion, and 65 billion. The aim is to promote research on the miniaturization and democratization of LLMs. Guillaume Lample claimed … Read more

Introduction and Practice of LangGraph Based on Large Model Agent

Introduction and Practice of LangGraph Based on Large Model Agent

How to Obtain Resources 1. Follow the public account below, and click【Like】 and 【View】 2. Click 【Get Course】 to obtain this material. Resources are from Baidu Cloud Disk:《Introduction and Practice of LangGraph Based on Large Model Agent》 Introduction and Practice of LangGraph Based on Large Model Agent In the field of artificial intelligence, with the … Read more

Cohere’s Business Logic and API Overview

Cohere's Business Logic and API Overview

With the launch of ChatGPT by OpenAI, generative artificial intelligence (AI) has begun to create a global sensation. This wave has not only attracted the attention of the general public but has also become a hot topic in the investment community. According to the Nikkei, the total market value of over 100 large-scale generative AI … Read more

Unlocking the Magic of Natural Language Processing with HuggingFace Transformers

Unlocking the Magic of Natural Language Processing with HuggingFace Transformers

Embark on a Journey of Natural Language Magic with Python and HuggingFace Transformers, Unlocking Infinite Text Possibilities Hey there, Python newbies and enthusiasts! Today, we are going to explore a super powerful Python library in the field of natural language processing — HuggingFace Transformers. It’s like a treasure chest full of magical tools that helps … Read more

Introduction to Transformers in NLP

Introduction to Transformers in NLP

Recently, Hugging Face has a very popular book titled “nlp-with-transformers”, and we will be updating practical tutorials related to transformers, so let’s get hands-on learning! Original text: https://www.oreilly.com/library/view/natural-language-processing/9781098103231/ch01.html Warning ahead, there will be a strong flavor of translation, so please enjoy while it’s fresh. Hello Transformers In 2017, researchers at Google published a paper proposing … Read more

Hugging Face’s Experiments on Effective Tricks for Multimodal Large Models

Hugging Face's Experiments on Effective Tricks for Multimodal Large Models

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 corporate researchers. The community’s vision is to promote communication and progress between the academic and industrial circles of natural language processing and machine learning at home and … Read more