Taiwan Researcher Challenges BERT’s NLP Superiority

Taiwan Researcher Challenges BERT's NLP Superiority

Original Article from New Intelligence Editors: Zhang Jia, Jin Lei [New Intelligence Overview] The Google NLP model BERT, which once broke 11 records, has recently faced skepticism from netizens: the model’s success in some benchmark tests is merely due to exploiting false statistical cues in the dataset, and without them, it might perform worse than … Read more

BERT Model: A Quick Start Guide

BERT Model: A Quick Start Guide

Selected from GitHub Author: Jay Alammar Contributors: Wang Zijia, Geek AI If you are a natural language processing practitioner, you must have heard of the recently popular BERT model.This article is a detailed tutorial on using a simplified version of the BERT model—DisTillBERT to complete the sentiment classification task of sentences, making it an invaluable … Read more

Exploring Xiaomi’s Practical Applications of BERT in NLP

Exploring Xiaomi's Practical Applications of BERT in NLP

Machine Heart Column Author: Xiaomi AI Lab NLP Team When a technology is applied in practice, it often encounters various challenges. Taking BERT as an example, when adapting to business needs, engineers need to make various adjustments according to specific scenarios. This article introduces the practical exploration of the Xiaomi AI Lab NLP team in … Read more

ASR Error Correction Based on BERT

ASR Error Correction Based on BERT

Guest Speaker: Wei Tianwen, Xiaomi AI Department Edited by: Li Shuna Source: DataFunTalk Introduction: Xiao Ai is an intelligent voice system developed by Xiaomi, widely used in smartphones, bands, speakers, TVs, and other electronic products, supporting various voice interaction scenarios such as casual conversation, Q&A, and voice control. The accuracy of Automatic Speech Recognition (ASR) … Read more

The Art of Fine-Tuning BERT

The Art of Fine-Tuning BERT

Authorized Reprint from Andy’s Writing Room Author:ANDY The BERT pre-trained model is like a pig ready for cooking, and fine-tuning is the cooking method. The pig’s head can be made into fragrant and rich roasted pig head meat, the trotters can be made into hearty braised trotters, and the various cuts like pork belly and … Read more

Understanding Deep Learning: From Neurons to BERT

Understanding Deep Learning: From Neurons to BERT

Ali Sister’s Guide: BERT, a landmark in the field of natural language processing, did not appear out of nowhere; it has its development principles behind it. Today, the Ant Financial Wealth Dialogue Algorithm Team has organized and compared the development history of deep learning models in the field of natural language processing. From simple neurons … Read more

Create Your Own AI Town: A Complete Guide

Create Your Own AI Town: A Complete Guide

New Intelligence Report Editor: Peach So Sleepy [New Intelligence Guide] The popular Stanford Town has been open-sourced for a week, and someone has already started creating it. The first AI simulated town, AI Town, was born, with 8 intelligent agents living and socializing in the “Westworld”. The Stanford AI agent town creation is here! Just … Read more

Creating a Programming Language: Pinecone

Creating a Programming Language: Pinecone

Click the image to sign up for the Guangzhou & Zhuhai Innovation Conference For the past six months, I have been working on developing a programming language called Pinecone. I can’t say it is fully mature yet, but it already has enough features (for a programming language) in use, such as: Variables Functions User-defined structs … Read more

Building Document-Based Q&A System Using LangChain, Pinecone, and LLMs

Building Document-Based Q&A System Using LangChain, Pinecone, and LLMs

Click the blue text above to follow us 1. Introduction Today we will delve into the process of creating a document-based Q&A system using LangChain and Pinecone, leveraging the latest large language models (LLMs) such as OpenAI’s GPT-4 and ChatGPT. LangChain is a powerful framework designed for developing applications driven by language models, while Pinecone … Read more

Generative AI Based on RAG: Building Custom Retrieval-Augmented Generation Pipelines Using LlamaIndex, Deep Lake, and Pinecone

Generative AI Based on RAG: Building Custom Retrieval-Augmented Generation Pipelines Using LlamaIndex, Deep Lake, and Pinecone

Book Introduction Minimize AI hallucinations and build accurate custom generative AI pipelines that leverage embedded vector databases and integrated human feedback for retrieval-augmented generation (RAG). Purchasing the physical or Kindle version of this book includes a free PDF eBook. Main Features Implement traceable outputs for RAG, linking each response to its source document, and build … Read more