雜談：課程網頁的變遷 / TALK: Changes in Course Web Pages

我的課程網頁從Google Doc、Google Doc網頁、Google Doc Publisher，到現在終於進入到Google Sites了！這篇就來講講這段期間我設置課程網頁方案的演進吧。

演講投影片：大型語言模型在工業領域的潛力 / Slide: The Potential of Large Language Models in Industrial Fields

大型語言模型(Large Language Model)成為AI浪潮之後下一個新的寵兒，它彷彿真人般的對談和創造力的發想對研究和教育上帶來了無數啟發。但是大型語言模型在要求精確的工業領域裡面，究竟可以扮演什麼角色呢？本次演講先講述工業5.0發展中對於大型語言模型的需求，再來講述工業領域應用大型語言模型的實例，最後介紹大型語言模型和檢索生成增強的相關技術作為結尾。如果你也想在產業應用大型語言模型的話，不妨先看看這份投影片，瞭解一下現況吧。

Large Language Models (LLMs) have become the next big thing in the wake of the AI wave, offering human-like conversation and creative brainstorming that have inspired countless research and educational endeavors.  But what role can LLMs play in demanding industrial fields that require precision? This presentation will first discuss the need for LLMs in the development of Industry 5.0, followed by examples of LLM applications in industrial settings. Finally, it will conclude with an introduction to related technologies like Retrieval-Augmented Generation. If you are also interested in applying LLMs in industry, take a look at this presentation to understand the current landscape.

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

RAG簡介投影片：現況、原理、發展 / RAG Introduction Slides: Current Status, Mechanisms, and Development

這份投影片對檢索生成增強(Retrieval-Augmented Generation, RAG)的觀念作一個容易理解的介紹，也是「資訊檢索的AI革新：從資訊檢索到檢索增強生成」這篇的簡化版本。一般說到AI大家都會想到創造力、彷彿真人的表現，但RAG本質上更接近資訊檢索的問題。把它當作資料庫就很容易理解RAG的用途了。

This presentation provides an accessible introduction to the concept of Retrieval Augmented Generation (RAG), and is a simplified version of "The AI Revolution in Information Retrieval: From Information Retrieval to Retrieval-Augmented Generation". When people talk about AI, they often think of creativity and human-like performance, but RAG is essentially closer to the problems of information retrieval. Thinking of it as a database makes it easier to understand the purpose of RAG.

Fixed Short URL: https://l.pulipuli.info/24/nccu/rag 

希希助教的情人巧克力會送給最認真的同學喔！ / TA. Sissi's Valentine's Day Chocolates Will Go to the Most Hardworking Student!

你就是那位認真的同學嗎？

雜談：我可以只要RAG的「R」嗎？ / TALK: Can I Just Have the “R” in RAG?

很多人以為RAG可以取代搜尋引擎，但其實很多人要的功能只有「能用自然語言檢索」而已。

RAG應用方案：Google NotebookLM / RAG Application Solutions: Google NotebookLM

Google NotebookLM已經成為使用RAG的最基本入門產品了。它大幅拉高了RAG的競爭門檻。沒有做的比Google NotebookLM好的話，都沒資格出來賣錢了。這篇是我在介紹Google NotebookLM的投影片，供大家參考。

Google NotebookLM has become the most basic entry-level product for using RAG. It has significantly raised the competitive bar for RAG.  If it's not better than Google NotebookLM, it's not worth selling. These are my slides introducing Google NotebookLM for your reference.

公視地方新聞資料集 / PTS NEWS Local News Dataset

最近我因為研究需求蒐集了公視新聞網地方新聞的一些內容，並把資料整理表格資料集，提供給有需要的人使用。

Recently, for my research, I collected local news content from the PTS News website and organized the data into a tabular dataset, making it available for anyone who needs it.

只用CPU跑「小型」語言模型可行嗎？ / Is Running "Small" Language Models on CPUs Only Feasible?

很多人都說跑大型語言模型需要很高級的GPU，其實相對於門檻較高的大型語言模型，小型語言模型也一直在如火如荼地發展。最近我嘗試用12核CPU跟32GB的RAM來跑Gemma2:2B，意外地很順利呢。

Many people say that running large language models requires high-end GPUs. However, relative to the higher barrier to entry of large language models, small language models have also been developing rapidly. Recently, I experimented with running Gemma2:2B using a 12-core CPU and 32GB of RAM, and it went surprisingly smoothly.

RAG應用方案：SeaSalt.AI的SeaMeet、SeaChat / RAG Application Solutions: SeaSalt.AI's SeaMeet and SeaChat

我最近試用了SeaSalt公司底下的SeaMeet跟SeaChat，前者可以自動記錄並摘要 Google Meet會議內容，後者則是簡單建立聊天機器人。這篇就是我報告投影片的彙整，供大家參考。

量表Cronbach's Alpha內部信度分析計算器：以Colab實作 / Cronbach's Alpha Internal Consistency Reliability Calculator: Implementation Using Colab

我開發了一份Colab筆記本「內部一致性信度分析：Cronbach's Alpha計算器」，方便大家分析量表的內部一致信信度Cronbach's Alpha。這份筆記本能夠分析整份量表的Cronbach's Alpha，也可以各別計算量表中各個構面(subscaler)的Alpha係數。同時計算器還會用逐一移除題目的方式，藉由指出移除後能夠提高Cronbach's Alpha的題目，讓研究者仔細檢視量表的設計是否有改善空間。

I developed a Colab notebook titled "Internal Consistency Reliability Analysis: Cronbach's Alpha Calculator" to facilitate the analysis of a scale's internal consistency reliability using Cronbach's alpha. This notebook can analyze the Cronbach's alpha for the entire scale, as well as calculate the alpha coefficient for individual subscales. The calculator also performs item-level analysis, identifying items whose removal would increase Cronbach's alpha, allowing researchers to carefully examine and potentially improve the scale's design.

雜談：怎麽讓AI能根據我的雲端硬碟回答問題 / TALK: How Can I Enable AI to Answer Questions Based on My Cloud Storage?

Nextcloud的AI應用程式不能處理中文，所以我自己用Langflow整合到Nextcloud，讓大型語言模型能夠根據我在雲端硬碟裡面的內容來回答問題。這篇就講一下大致上的做法。

希希助教獻上新年祝福 / TA. Sissi's New Year Greetings

蛇盤如意寓意著好運盤旋，事事如意。希望大家新的一年都有美好的開始！

如何在Colab執行程式？ / How to Run all Codes in Colab?

使用Colab來進行資料分析時，必須要經過程式執行的動作，才能取得執行後的分析結果。以下就讓我來看看怎麽在Colab裡面執行程式。

When performing data analysis using Colab, you must execute the code to obtain the analysis results. Let's take a look at how to execute codes within Colab.

雜談：總算把架設了Stable Diffusion WebUI Forge / TALK: Finally Set Up Stable Diffusion WebUI Forge

由於之前硬碟毀損，導致我用來做AI繪圖的Stable Diffusion環境全部消失。這次乾脆全部重來，用Stable Diffusion WebUI Forge重建整個繪圖環境吧。

如何在Colab上傳和下載檔案？ / How to Upload and Download Files to Colab?

在Colab分析資料是現在很常用的技巧。但要將檔案上傳到Colab中，你需要進行以下的操作。

Analyzing data in Colab is a common technique nowadays.  However, to upload files to Colab, you need to perform the following steps.

雜談：什麼是RAG知識庫的必備條件？ / TALK: What Are the Prerequisites for a RAG Knowledge Base?

在陸陸續續地升級了Dify的各個元件後，赫然發現，目前作為RAG的知識庫，仍有許多不足之處。到底RAG知識庫應該具備什麼功能？這篇就來聊聊我的想法。

用爬蟲作為Dify的知識庫：Firecrawl / Using a Web Crawler as Dify's Knowledge Base: Firecrawl

Dify的知識庫能夠取自網路資料，再搭配我們自架的Coolcrawl來取代公開服務Firecrawl，就能夠抓取內部區域網路裡面的網路資料。接下來就讓我們來看看這要怎麼實作吧。

Dify's knowledge base can draw from online data, and by combining it with our self-hosted Coolcrawl (instead of the public service Firecrawl), it can also crawl data within the intranet. Let's take a look at how to implement this.

雜談：除溼機接上了Home Assistant，然後又離線了 / TALK: Dehumidifier WIFI Issues in Home Assistant

雖然威技的WIFI除溼機的確能夠透過Tuya物聯網跟Home Assistant連接，但它似乎會在網路中斷的時候，直接關閉WIFI功能的樣子。原本以為除溼機都能按照自動化規則自己好好運作，怎麽不知不覺又離線了呢？

成為國家認可的圖書館員吧！一個人備考也能開的AI讀書會 / Become a Nationally Certified Librarian! An AI Study Group for Solo Learners

唸資圖系或圖資系，未來可以做什麼工作？雖然大家的說法眾說紛紜，不過「圖書館員」仍然是此領域人才訓練的主要目標。在台灣要成為圖書館員的各種途徑中，透過國家考試成為具有「圖書資訊管理」專業的公務人員，又是許多人理想中的圖書館員職位。那要怎麼透過公職考試考上館員？要讀什麼書？要怎麼準備？我們就用這份講座來跟大家說明吧！

What kind of jobs can you get with a degree in Library and Information Science? While there are many different opinions, "librarian" remains the primary career goal for individuals trained in this field. In Taiwan, among the various paths to becoming a librarian, securing a civil servant position specializing in "Library and Information Management" through national examinations is the ideal librarian role for many. So, how can one pass the civil service exam to become a librarian? What should one study? How should one prepare? Let's address these questions in this lecture.

Fixed Short URL: https://l.pulipuli.info/24/dils/moe 

雜談：回顧2024的「布丁布丁吃什麼？」 / TALK: A Review of Pulipuli’s Blog in 2024

「布丁布丁吃什麼？」的總瀏覽量突破1500萬了！趁這個新的一年，一起讓我們來回顧看看2024年「布丁布丁吃什麼？」有哪些熱門話題吧！

如何用Felo AI搜尋特定網站的內容 / How to Search Specific Website Content Using Felo AI

用關鍵字檢索站內資訊時，你總是看到大量分散的網頁，不知道怎麽整合最需要的資料嗎？這篇教你用Felo Search來建立站內的「問答機器人」！

Are you tired of keyword searches returning tons of scattered web pages, making it difficult to consolidate the information you need? This post will teach you how to use Felo Search to create an internal "Q&A chatbot"!