Course Code: generativeaillm
Duration: 21 hours
Prerequisites:

  • 瞭解機器學習概念,如監督學習和無監督學習、損失函數和數據分割。
  • 具備Python編程和數據處理經驗。
  • 具備神經網絡和自然語言處理的基礎知識。

受衆

  • 開發者
  • 機器學習愛好者

Overview:

生成式AI是一種能夠創建原創內容(如文本、圖像、音樂和代碼)的AI。大型語言模型(LLMs)是強大的神經網絡,能夠處理和生成自然語言。

本次由講師指導的培訓(線上或線下)面向中級開發者,旨在幫助他們學習如何將生成式AI與LLMs應用於各種任務和領域。

培訓結束後,參與者將能夠:

  • 解釋生成式AI是什麼及其工作原理。
  • 描述驅動LLMs的Transformer架構。
  • 使用經驗縮放法則針對不同任務和約束優化LLMs。
  • 應用最先進的工具和方法訓練、微調和部署LLMs。
  • 討論生成式AI對社會和商業的機遇與風險。

課程形式

  • 互動式講座與討論。
  • 大量練習與實踐。
  • 在即時實驗室環境中動手操作。

課程定製選項

  • 如需定製本課程,請聯繫我們安排。

Course Outline:

生成式AI簡介

  • 什麼是生成式AI?爲何重要?
  • 生成式AI的主要類型和技術
  • 生成式AI的關鍵挑戰與侷限

Transformer架構與LLMs

  • 什麼是Transformer?它是如何工作的?
  • Transformer的主要組件和特性
  • 使用Transformer構建LLMs

縮放法則與優化

  • 什麼是縮放法則?爲何對LLMs重要?
  • 縮放法則如何與模型大小、數據大小、計算預算和推理需求相關?
  • 縮放法則如何幫助優化LLMs的性能和效率?

訓練與微調LLMs

  • 從頭開始訓練LLMs的主要步驟和挑戰
  • 針對特定任務微調LLMs的優缺點
  • 訓練和微調LLMs的最佳實踐與工具

部署與使用LLMs

  • 在生產環境中部署LLMs的主要考慮與挑戰
  • LLMs在各個領域和行業中的常見用例和應用
  • 將LLMs與其他AI系統和平臺集成

生成式AI的倫理與未來

  • 生成式AI與LLMs的倫理和社會影響
  • 生成式AI與LLMs的潛在風險與危害,如偏見、錯誤信息和操縱
  • 負責任且有益地使用生成式AI與LLMs

總結與下一步

Sites Published:

United Arab Emirates - Generative AI with Large Language Models (LLMs)

Qatar - Generative AI with Large Language Models (LLMs)

Egypt - Generative AI with Large Language Models (LLMs)

Saudi Arabia - Generative AI with Large Language Models (LLMs)

South Africa - Generative AI with Large Language Models (LLMs)

Brasil - IA Generativa com Modelos de Linguagem Grandes (LLMs)

Canada - Generative AI with Large Language Models (LLMs)

中国 - 生成式AI与大型语言模型(LLMs)

香港 - Generative AI with Large Language Models (LLMs)

澳門 - Generative AI with Large Language Models (LLMs)

台灣 - 生成式AI與大型語言模型(LLMs)

USA - Generative AI with Large Language Models (LLMs)

Österreich - Generative KI mit großen Sprachmodellen (LLMs)

Schweiz - Generative KI mit großen Sprachmodellen (LLMs)

Deutschland - Generative KI mit großen Sprachmodellen (LLMs)

Czech Republic - Generativní umělá inteligence s velkými jazykovými modely (LLMs)

Denmark - Generative AI with Large Language Models (LLMs)

Estonia - Generative AI with Large Language Models (LLMs)

Finland - Generative AI with Large Language Models (LLMs)

Greece - Γεννητική Τεχνητή Νοημοσύνη με Μεγάλα Μοντέλα Γλώσσας (LLMs)

Magyarország - Generatív MI Nagy Nyelvi Modellekkel (LLM-ek)

Ireland - Generative AI with Large Language Models (LLMs)

Luxembourg - Generative AI with Large Language Models (LLMs)

Latvia - Generative AI with Large Language Models (LLMs)

España - IA Generativa con Modelos de Lenguaje Grandes (LLMs)

Italia - Generative AI con Modelli Linguistici Large (LLMs)

Lithuania - Generative AI with Large Language Models (LLMs)

Nederland - Generatieve AI met Large Language Models (LLMs)

Norway - Generativ AI med store språkmodeller (LLMs)

Portugal - IA Generativa com Modelos de Linguagem Grandes (LLMs)

România - AI Generativă cu Modele de Limbaj de Mare Amploare (LLMs)

Sverige - Generativ AI med stora språkmodeller (LLMs)

Türkiye - Büyük Dil Modelleri (LLMs) ile Üretici Yapay Zeka

Malta - Generative AI with Large Language Models (LLMs)

Belgique - IA générative avec des modèles de langage à grande échelle (LLMs)

France - IA générative avec des modèles de langage à grande échelle (LLMs)

日本 - 生成AIと大規模言語モデル(LLMs)

Australia - Generative AI with Large Language Models (LLMs)

Malaysia - Generative AI with Large Language Models (LLMs)

New Zealand - Generative AI with Large Language Models (LLMs)

Philippines - Generative AI with Large Language Models (LLMs)

Singapore - Generative AI with Large Language Models (LLMs)

Thailand - Generative AI with Large Language Models (LLMs)

Vietnam - Trí tuệ nhân tạo sinh thành với các mô hình ngôn ngữ lớn (LLMs)

India - Generative AI with Large Language Models (LLMs)

Argentina - IA Generativa con Modelos de Lenguaje Grandes (LLMs)

Chile - IA Generativa con Modelos de Lenguaje Grandes (LLMs)

Costa Rica - IA Generativa con Modelos de Lenguaje Grandes (LLMs)

Ecuador - IA Generativa con Modelos de Lenguaje Grandes (LLMs)

Guatemala - IA Generativa con Modelos de Lenguaje Grandes (LLMs)

Colombia - IA Generativa con Modelos de Lenguaje Grandes (LLMs)

México - IA Generativa con Modelos de Lenguaje Grandes (LLMs)

Panama - IA Generativa con Modelos de Lenguaje Grandes (LLMs)

Peru - IA Generativa con Modelos de Lenguaje Grandes (LLMs)

Uruguay - IA Generativa con Modelos de Lenguaje Grandes (LLMs)

Venezuela - IA Generativa con Modelos de Lenguaje Grandes (LLMs)

Polska - Generative AI z dużymi modelami językowymi (LLMs)

United Kingdom - Generative AI with Large Language Models (LLMs)

South Korea - 대규모 언어 모델(LLMs)을 사용한 생성형 AI

Pakistan - Generative AI with Large Language Models (LLMs)

Sri Lanka - Generative AI with Large Language Models (LLMs)

Bulgaria - Генеративно ИИ с голями езикови модели (LLMs)

Bolivia - IA Generativa con Modelos de Lenguaje Grandes (LLMs)

Indonesia - Generative AI with Large Language Models (LLMs)

Kazakhstan - Generative AI with Large Language Models (LLMs)

Moldova - AI Generativă cu Modele de Limbaj de Mare Amploare (LLMs)

Morocco - Generative AI with Large Language Models (LLMs)

Tunisia - Generative AI with Large Language Models (LLMs)

Kuwait - Generative AI with Large Language Models (LLMs)

Oman - Generative AI with Large Language Models (LLMs)

Slovakia - Generative AI with Large Language Models (LLMs)

Kenya - Generative AI with Large Language Models (LLMs)

Nigeria - Generative AI with Large Language Models (LLMs)

Botswana - Generative AI with Large Language Models (LLMs)

Slovenia - Generative AI with Large Language Models (LLMs)

Croatia - Generative AI with Large Language Models (LLMs)

Serbia - Generative AI with Large Language Models (LLMs)

Bhutan - Generative AI with Large Language Models (LLMs)

Nepal - Generative AI with Large Language Models (LLMs)

Uzbekistan - Generative AI with Large Language Models (LLMs)

US Government - Generative AI with Large Language Models (LLMs)