Course Code: generativeaillm
Duration: 21 hours
Prerequisites:

  • 了解机器学习概念,如监督学习和无监督学习、损失函数和数据分割。
  • 具备Python编程和数据处理经验。
  • 具备神经网络和自然语言处理的基础知识。

受众

  • 开发者
  • 机器学习爱好者

Overview:

生成式AI是一种能够创建原创内容(如文本、图像、音乐和代码)的AI。大型语言模型(LLMs)是强大的神经网络,能够处理和生成自然语言。

本次由讲师指导的培训(线上或线下)面向中级开发者,旨在帮助他们学习如何将生成式AI与LLMs应用于各种任务和领域。

培训结束后,参与者将能够:

  • 解释生成式AI是什么及其工作原理。
  • 描述驱动LLMs的Transformer架构。
  • 使用经验缩放法则针对不同任务和约束优化LLMs。
  • 应用最先进的工具和方法训练、微调和部署LLMs。
  • 讨论生成式AI对社会和商业的机遇与风险。

课程形式

  • 互动式讲座与讨论。
  • 大量练习与实践。
  • 在实时实验室环境中动手操作。

课程定制选项

  • 如需定制本课程,请联系我们安排。

Course Outline:

生成式AI简介

  • 什么是生成式AI?为何重要?
  • 生成式AI的主要类型和技术
  • 生成式AI的关键挑战与局限

Transformer架构与LLMs

  • 什么是Transformer?它是如何工作的?
  • Transformer的主要组件和特性
  • 使用Transformer构建LLMs

缩放法则与优化

  • 什么是缩放法则?为何对LLMs重要?
  • 缩放法则如何与模型大小、数据大小、计算预算和推理需求相关?
  • 缩放法则如何帮助优化LLMs的性能和效率?

训练与微调LLMs

  • 从头开始训练LLMs的主要步骤和挑战
  • 针对特定任务微调LLMs的优缺点
  • 训练和微调LLMs的最佳实践与工具

部署与使用LLMs

  • 在生产环境中部署LLMs的主要考虑与挑战
  • LLMs在各个领域和行业中的常见用例和应用
  • 将LLMs与其他AI系统和平台集成

生成式AI的伦理与未来

  • 生成式AI与LLMs的伦理和社会影响
  • 生成式AI与LLMs的潜在风险与危害,如偏见、错误信息和操纵
  • 负责任且有益地使用生成式AI与LLMs

总结与下一步

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)