淡江113學年度資訊週推廣活動：數位化與延展實境工作坊 / Digitalization and Extended Reality Workshop: Tamkang University Information Week 2024

「當數位典藏走進元宇宙：數位化與延展實境工作坊」又來開講囉！這次是面向同學們的工作坊活動，主要介紹3D掃描儀REVOPOINT POP3 跟 XR裝置 Meta Quest 3。讓我們一起來看看活動內容講了什麼吧！

"When Digital Archives Enter the Metaverse: Digitization and Extended Reality Workshop" is back! This time, it's a workshop geared towards students, primarily introducing the REVOPOINT POP3 3D scanner and the Meta Quest 3 XR device. Let's take a look at what the event covered!

雜談：回頭閱讀舊的RSS文章 / TALK: Looking Back on Old RSS Posts

看著RSS未讀文章的數量逐漸減少，其實也像是一種生活成就。

為什麼影印機讀不到隨身碟？分割表格式的問題與解法 / Why Can't the Copier Read My USB Drive? Problems and Solutions Related to Partition Table Formats

對軟體工程師來說，隨身碟的功能大多是刷ISO映像檔拿來安裝作業系統。但刷完之後再重新格式化，此時要拿它去影印機等裝置存儲檔案，又會發現隨身碟不能讀取了。原來這背後的原因，是因為「分割表格式」被設定為GPT的緣故。「分割表格式」到底是什麼？為什麼會被設定為GPT？要怎麼解決？就讓我們一起看下去吧。

For software engineers, USB drives are often used to flash ISO images for installing operating systems. However, after flashing and reformatting the drive, it often becomes unreadable by devices like copiers. The reason behind this lies in the " Partition Table Format" being set to GPT. What exactly is a " Partition Table Format"? Why is it set to GPT? And how can this issue be resolved? Let's delve into these questions.

雜談：ComfyUI很好用，但結果跟WebUI不一樣 / ComfyUI Is User-Friendly, But Results Differ From WebUI

繼上次把Forge裝起來後，我還是覺得生圖的方式太沒效率了，所以轉向尋求其他工具。這次嘗試的是Dify跟ComfyUI的結合。

用Felo AI對「布丁布丁吃什麼？」提問吧！ / Ask "What does Pulipuli eat?" with Felo AI!

自從「布丁布丁吃什麼？」改用Felo AI作為站內的搜尋引擎之後已經一段時間了。這對部落格的使用帶來什麼影響呢？讓我們一起來看看吧。

Since "Pulipuli's Blog" switched to using Felo AI as its internal search engine, some time has passed. What impact has this had on the blog's usage? Let's take a look.

雜談：期盼了三年的巧味豬腳便當 / Long-Awaited Chiao Wei Pork Bento

天下第一攤的手作便當，依然十分美味。

Python自然語言處理應用：命名實體識別與情緒分析 / Python Natural Language Processing Applications: Named Entity Recognition and Sentiment Analysis

儘管大型語言模型的盛行讓大家瞭解到AI分析文字的能力，但直接以命名實體識別和情緒分析來處理文本的做法，在具有特定目標的研究報告裡仍扮演著重要的角色。這篇就讓從我們從學習Python的使用，一步一步踏入命名實體識別和情緒分析的領域吧。

Although the prevalence of large language models has made people aware of AI's ability to analyze text, direct processing of text using Named Entity Recognition (NER) and Sentiment Analysis (SA) still plays a vital role in research reports with specific objectives. This article will guide us through the process of learning Python, step by step, to delve into the realm of Named Entity Recognition and sentiment analysis.

Short URL: https://l.pulipuli.info/24/nsysu