小孙不够睡

AI Engineer & Software Developer & Big Data Scientist

Hong Kong SAR
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1. To practice my English writing, I will write all blog in English later. If you want to see Chinese version, you can visit my CSDN. 2. I am happy to announce that I will pursue a PhD degree at Hong Kong Polytechnic University in September 2024. My research interests include Large Language Model, Multi-agent Collaboration, Diffusion Model, etc. Welcome like-minded friends for discussions.

Tags

  • Algorithms1
  • Back-end13
  • Deep learning8
  • Experience1
  • Front-end3
  • Git3
  • JAVA8
  • Large Language Model5
  • Machine learning2
  • Other1
  • PHP1
  • Python7

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Algorithms Back-end Deep learning Experience Front-end Git JAVA Large Language Model Machine learning Other PHP Python

Archive

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Recent Posts

  • Understanding Decoding Methods in Large Language Models (LLMs) and Key Parameters

    2024-08-05

  • What is an LLM Agent? A Guide to Large Language Model Agents

    2024-07-23

  • Introduction to Large Language Models (LLMs) and Their Principles

    2024-07-09

  • Essential PyTorch Syntax for Deep Learning - A Quick Guide

    2024-06-23

  • 经验分享-应届生如何在秋招拿下年薪50w的offer

    2024-06-01

浅谈Java中equals方法和==的区别

Jul 12 JAVA Comments Word Count: 149(words) Read Count: 1(minutes)

JAVA中的自动类型转换

Jul 12 JAVA Comments Word Count: 82(words) Read Count: 1(minutes)

JAVA中基本数据类型的取值范围

Jul 12 JAVA Comments Word Count: 129(words) Read Count: 1(minutes)

JAVA中运算符优先级总结

Jul 12 JAVA Comments Word Count: 89(words) Read Count: 1(minutes)

基于SSM框架实现一个用户系统（登录，用户列表，分页，增删改查，用户角色管理功能)

Jul 8 Back-end Comments Word Count: 2.1k(words) Read Count: 12(minutes)

Hibernate主键冲突问题解决方法

Jul 8 Back-end Comments Word Count: 300(words) Read Count: 1(minutes)

SpringBoot @PathVariable注解的使用

Jul 8 Back-end Comments Word Count: 80(words) Read Count: 1(minutes)

密码安全之JAVA使用MD5对用户密码进行加密

Jul 7 Back-end Comments Word Count: 453(words) Read Count: 1(minutes)

使用hibernate框架自动生成数据库中的表

Jul 7 Back-end Comments Word Count: 580(words) Read Count: 3(minutes)

浅谈ssm框架分层逻辑

Jul 4 Back-end Comments Word Count: 1.4k(words) Read Count: 5(minutes)

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