Course Code: slmseeai
Duration: 21 hours
Prerequisites:
  • 對深度學習概念的紮實理解
  • 熟練使用 Python 程式設計
  • 具有模型優化技術的經驗

觀眾

  • 機器學習工程師
  • 人工智慧研究人員和從業者
  • 科技行業的環保宣導者
Overview:

小型語言模型 (SLM) 是大型模型的有效替代方案,可提供可比的性能,同時顯著降低計算和能源需求。

這種由講師指導的現場培訓(在線或現場)面向高級機器學習工程師和 AI 研究人員,他們希望使用功能強大且環保的小型語言模型開發節能 AI 解決方案。

在培訓結束時,參與者將能夠:

  • 瞭解人工智慧對能源消耗和環境的影響。
  • 應用模型壓縮和優化技術來減少 AI 模型的大小和能耗。
  • 利用高能效的硬體和軟體框架進行 AI 部署。
  • 實施可持續人工智慧發展的最佳實踐。
  • 宣導並促進人工智慧行業的可持續實踐。

課程形式

  • 互動講座和討論。
  • 大量的練習和練習。
  • 在現場實驗室環境中動手實施。

課程自定義選項

  • 如需申請本課程的定製培訓,請聯繫我們進行安排。
Course Outline:

節能人工智慧簡介

  • 可持續性在人工智慧中的重要性
  • 機器學習中的能耗概述
  • 節能 AI 實施案例研究

緊湊模型架構

  • 瞭解模型大小和複雜性
  • 設計小而有效的模型的技術
  • 比較不同模型架構的效率

優化和壓縮技術

  • 模型修剪和量化
  • 小型模型的知識蒸餾
  • 減少能源消耗的高效培訓方法

AI 的硬體注意事項

  • 選擇用於訓練和推理的節能硬體
  • TPU 和 FPGA 等專用處理器的作用
  • 平衡性能和功耗

綠色編碼實踐

  • 編寫節能代碼
  • 分析和優化 AI 演算法
  • 可持續軟體開發的最佳實踐

可再生能源和人工智慧

  • 將可再生能源整合到 AI 運營中
  • 數據中心的可持續性
  • 綠色人工智慧基礎設施的未來

人工智慧系統的生命周期評估

  • 測量 AI 模型的碳足跡
  • 在整個人工智慧生命週期中減少環境影響的策略
  • 人工智慧生命周期評估案例研究

可持續人工智慧的政策和法規

  • 瞭解全球標準和法規
  • 政策在促進節能人工智慧方面的作用
  • 倫理考量和社會影響

專案與評估

  • 在所選領域中使用小型語言模型開發原型
  • 介紹節能人工智慧系統
  • 基於技術效率、創新和環境貢獻的評估

摘要和後續步驟

Sites Published:

United Arab Emirates - Small Language Models (SLMs): Developing Energy-Efficient AI

Qatar - Small Language Models (SLMs): Developing Energy-Efficient AI

Egypt - Small Language Models (SLMs): Developing Energy-Efficient AI

Saudi Arabia - Small Language Models (SLMs): Developing Energy-Efficient AI

South Africa - Small Language Models (SLMs): Developing Energy-Efficient AI

Brasil - Small Language Models (SLMs): Developing Energy-Efficient AI

Canada - Small Language Models (SLMs): Developing Energy-Efficient AI

中国 - Small Language Models (SLMs): Developing Energy-Efficient AI

香港 - Small Language Models (SLMs): Developing Energy-Efficient AI

澳門 - Small Language Models (SLMs): Developing Energy-Efficient AI

台灣 - Small Language Models (SLMs): Developing Energy-Efficient AI

USA - Small Language Models (SLMs): Developing Energy-Efficient AI

Österreich - Small Language Models (SLMs): Developing Energy-Efficient AI

Schweiz - Small Language Models (SLMs): Developing Energy-Efficient AI

Deutschland - Small Language Models (SLMs): Developing Energy-Efficient AI

Czech Republic - Small Language Models (SLMs): Developing Energy-Efficient AI

Denmark - Small Language Models (SLMs): Developing Energy-Efficient AI

Estonia - Small Language Models (SLMs): Developing Energy-Efficient AI

Finland - Small Language Models (SLMs): Developing Energy-Efficient AI

Greece - Small Language Models (SLMs): Developing Energy-Efficient AI

Magyarország - Small Language Models (SLMs): Developing Energy-Efficient AI

Ireland - Small Language Models (SLMs): Developing Energy-Efficient AI

Luxembourg - Small Language Models (SLMs): Developing Energy-Efficient AI

Latvia - Small Language Models (SLMs): Developing Energy-Efficient AI

España - Small Language Models (SLMs): Developing Energy-Efficient AI

Italia - Small Language Models (SLMs): Developing Energy-Efficient AI

Lithuania - Small Language Models (SLMs): Developing Energy-Efficient AI

Nederland - Small Language Models (SLMs): Developing Energy-Efficient AI

Norway - Small Language Models (SLMs): Developing Energy-Efficient AI

Portugal - Small Language Models (SLMs): Developing Energy-Efficient AI

România - Small Language Models (SLMs): Developing Energy-Efficient AI

Sverige - Small Language Models (SLMs): Developing Energy-Efficient AI

Türkiye - Small Language Models (SLMs): Developing Energy-Efficient AI

Malta - Small Language Models (SLMs): Developing Energy-Efficient AI

Belgique - Small Language Models (SLMs): Developing Energy-Efficient AI

France - Small Language Models (SLMs): Developing Energy-Efficient AI

日本 - Small Language Models (SLMs): Developing Energy-Efficient AI

Australia - Small Language Models (SLMs): Developing Energy-Efficient AI

Malaysia - Small Language Models (SLMs): Developing Energy-Efficient AI

New Zealand - Small Language Models (SLMs): Developing Energy-Efficient AI

Philippines - Small Language Models (SLMs): Developing Energy-Efficient AI

Singapore - Small Language Models (SLMs): Developing Energy-Efficient AI

Thailand - Small Language Models (SLMs): Developing Energy-Efficient AI

Vietnam - Small Language Models (SLMs): Developing Energy-Efficient AI

India - Small Language Models (SLMs): Developing Energy-Efficient AI

Argentina - Small Language Models (SLMs): Developing Energy-Efficient AI

Chile - Small Language Models (SLMs): Developing Energy-Efficient AI

Costa Rica - Small Language Models (SLMs): Developing Energy-Efficient AI

Ecuador - Small Language Models (SLMs): Developing Energy-Efficient AI

Guatemala - Small Language Models (SLMs): Developing Energy-Efficient AI

Colombia - Small Language Models (SLMs): Developing Energy-Efficient AI

México - Small Language Models (SLMs): Developing Energy-Efficient AI

Panama - Small Language Models (SLMs): Developing Energy-Efficient AI

Peru - Small Language Models (SLMs): Developing Energy-Efficient AI

Uruguay - Small Language Models (SLMs): Developing Energy-Efficient AI

Venezuela - Small Language Models (SLMs): Developing Energy-Efficient AI

Polska - Small Language Models (SLMs): Developing Energy-Efficient AI

United Kingdom - Small Language Models (SLMs): Developing Energy-Efficient AI

South Korea - Small Language Models (SLMs): Developing Energy-Efficient AI

Pakistan - Small Language Models (SLMs): Developing Energy-Efficient AI

Sri Lanka - Small Language Models (SLMs): Developing Energy-Efficient AI

Bulgaria - Small Language Models (SLMs): Developing Energy-Efficient AI

Bolivia - Small Language Models (SLMs): Developing Energy-Efficient AI

Indonesia - Small Language Models (SLMs): Developing Energy-Efficient AI

Kazakhstan - Small Language Models (SLMs): Developing Energy-Efficient AI

Moldova - Small Language Models (SLMs): Developing Energy-Efficient AI

Morocco - Small Language Models (SLMs): Developing Energy-Efficient AI

Tunisia - Small Language Models (SLMs): Developing Energy-Efficient AI

Kuwait - Small Language Models (SLMs): Developing Energy-Efficient AI

Oman - Small Language Models (SLMs): Developing Energy-Efficient AI

Slovakia - Small Language Models (SLMs): Developing Energy-Efficient AI

Kenya - Small Language Models (SLMs): Developing Energy-Efficient AI

Nigeria - Small Language Models (SLMs): Developing Energy-Efficient AI

Botswana - Small Language Models (SLMs): Developing Energy-Efficient AI

Slovenia - Small Language Models (SLMs): Developing Energy-Efficient AI

Croatia - Small Language Models (SLMs): Developing Energy-Efficient AI

Serbia - Small Language Models (SLMs): Developing Energy-Efficient AI

Bhutan - Small Language Models (SLMs): Developing Energy-Efficient AI

Nepal - Small Language Models (SLMs): Developing Energy-Efficient AI

Uzbekistan - Small Language Models (SLMs): Developing Energy-Efficient AI