# 人工智慧
- [人工智慧(AI)的歷史演變與重大突破](/1SkvWahGR8ShIoTJlBM9ZA)
- [圖靈測試:探討機器智慧的經典試驗](/qxRs93CNTniesmr4nPvycg)
# 機器學習
### 入門基礎知識
- [窺探機器學習以及深度學習領域](/uU3FSdDTRNOeXFXUrox2Zw)
- [如何訓練出好模型呢?](/16J6KM5BSxCbJocJHcia_A)
- [資料的劃分 - 訓練集、驗證集、測試集](/Hvyqdz0fS2iBfAo4knO58g)
- [新手訓練模型攻略指引](/53_vrA0xQ32gGw4BleFK6A)
### 監督式學習(Supervised learning)
- [線性/非線性回歸模型-Regression](/Q0s1eFlNQ0S7_o5Lz7fwqA)
- [R Squared 與 Adjusted R Squared](/AQ1GvdwXS96d38-XzLVIAA)
- [線性分類-邏輯回歸(Logistic Regression)](/Je1EDqh9QIOVxmCx91hWwg)
- [貝氏分類器(Naïve Bayes)](/bnEW2VroQQqPx1zB_xEhhA)
- [決策樹(Decision Tree)](/vD9NVejGSyybgTsb04vRTA)
- [集成學習(Ensemble learning): Bagging, Boosting and Stacking](/uBBcSBv2QbqIvwlxoi5ihQ)
- [K-Nearest Neighbors (KNN)](/8g7AoXCYQny36ktkcGpTGw)
- [混淆矩陣(Confusion Matrix)](/fs6LPYqESl6o2DlVB9fuMQ)
### 非監督式學習(Unsupervised learning)
- [K-Means Clustering](/li3EGK1bRySzM9cFQNvhvg)
### 自監督式學習(Self-supervised learning)
- [自監督式學習 (Self-supervised Learning) - BERT、GPT](/qtojyxAZQkCjnpDqjh9GeA)
- [Transformer 架構比較(Encoder-Only、Decoder-Only 與 Encoder-Decoder)](/_Jktcw5AQUWhsYf5YZjoSg)
- [Transformer with Linear Attention](/kiFoKvZhSCWjXzPunbaBrA)
- [混合專家模型(Mixture of Expert, MOE)](/fW2rJ6C4TkqAr9t2pu6khw)
# 深度學習
### 入門模型訓練
- [類神經網絡訓練不起來怎麼辦?- 1](/czWIJ0KkS0qmtiLEOwlteg)
- [類神經網絡訓練不起來怎麼辦?- 2](/MB41OxD6T0aFY8BOOBPlAw)
- [Overfitting v.s. Underfitting 以及其解決方式](/pKFzJD3JTWCVYab1emBfaA)
- [Gadient descent & Backpropagation](/968bCcF9SfKWvMFgprlZUA)
### 模型架構
- [循環神經網絡(Recurrent Neural Network, RNN)](/e-NKHybnRc-y6gt2YL5sHg)
- [卷積神經網路(Convolutional Neural Networks, CNN)
](/WebUK70-SBqBGlcyyU832w)
- [生成式對抗網路 (Generative Adversarial Network, GAN)](/rnJHl_TnQb2jkoG0eR8x5Q)
- [自注意力機制(Self-attention)](/uJzoXzdfTGu9O2HUPKU18w)
- [Transformer](/EKzEZaQVTBGBcPyouqYEIw)
- [變分自編碼器(VAE)與 Deepfake 應用介紹 ](/1nM05MwkRcixXTpT-5gdJA)
### 分散式訓練
- [利用多張 GPU 訓練大型語言模型:從 0 開始介紹 DeepSpeed, Flash Attention, Liger Kernel 和 Quantization](/OQsG7JvSTae6Epc7NcRegA)
- [分散式訓練的類型:Data Parallel vs. Model Parallel vs. Pipeline Parallel](/oIqmLOIeR9muII28ALfhbA)
- [訊息傳遞介面 (Message Passing Interface, MPI)](/hQimuqBaTsmOJnlckOLMgw)
# Generative AI
### Large Language Modle
- [ChatGPT 的原理與學習過程](/UerxtqdaRAe8eWE6CxpSQw)
- [語言模型內部運作機制剖析(單個到整群神經元的運作機制)](/kWyL79TWQ1OC2PyQI-Qvpg)
- [LLM 的推理策略 - Temperature、top-k、top-p](/HVbuI_1bTXmoXvjGG6HEbQ)
- [檢索增強生成(Retrieval-Augmented Generation, RAG)](/Kahlt6CcRDKXP5dCxDgfSA)
### 自然語言處理 NLP
- [文字前處理(Text Preprocessing)-1](/_EtfJFsYQtysTxZlpUZeQA)
- [詞向量(Word Embedding)-2](/_jf1F14-QEmu_R6CKgOiZw)
- [Byte Pair Encoding(BPE)](/QuZtyP_vRVmttNMSyx1RAg)
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