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所在平台: Udemy |
课程主页: https://www.udemy.com/course/generative-ai-interview-questions-practice-test-series/
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课程名称：生成性人工智能面试题练习测试系列 课程概述：生成性人工智能正在从文本生成到图像合成等各个领域引发革命。本综合练习测试系列旨在帮助学习者通过180道选择题（MCQ）巩固其知识，涵盖基本概念、架构及实际应用。 1. 生成性人工智能基础 学习生成性人工智能的构建模块，包括概率模型、变分自编码器（VAE）和生成对抗网络（GAN）。理解人工智能如何生成文本、图像及其他媒体。 2. 神经网络和深度学习基础 探索深度学习的基础，包括人工神经网络（ANN）、反向传播、激活函数和优化算法，这些都是生成性人工智能的核心技术。 3. 变换器与大型语言模型（LLM） 深入了解变换器架构、注意力机制以及自监督学习，这些使得模型如GPT、BERT和T5能生成类人文本。 4. 训练、微调与优化技术 理解模型训练技术，如迁移学习、超参数调优和强化学习，以及提升人工智能表现的策略。 5. 生成性人工智能的应用与案例 探索生成性人工智能在聊天机器人、艺术创作、音乐作曲、药物发现和自动化内容生成等领域的应用，改变多个行业。 6. 伦理、偏见与生成性人工智能的未来 研究伦理影响、偏见风险以及与人工智能幻觉、虚假信息和监管框架相关的挑战，在不断发展的人工智能领域中进行审视。 本课程提供了一种结构化的方法，评估和巩固您在生成性人工智能方面的知识，帮助您在这个快速发展的领域中保持领先。
Generative AI is revolutionizing industries, from text generation to image synthesis and beyond. This comprehensive practice test series is designed to help learners strengthen their knowledge through 180 multiple-choice questions (MCQs), covering essential concepts, architectures, and real-world applications.1. Fundamentals of Generative AILearn the building blocks of Generative AI, including probabilistic models, variational autoencoders (VAEs), and GANs. Understand how AI generates text, images, and other media.2. Neural Networks and Deep Learning FoundationsExplore the fundamentals of deep learning, including artificial neural networks (ANNs), backpropagation, activation functions, and optimization algorithms that power Generative AI.3. Transformers and Large Language Models (LLMs)Dive deep into the Transformer architecture, attention mechanisms, and self-supervised learning that enable models like GPT, BERT, and T5 to generate human-like text.4. Training, Fine-Tuning, and Optimization TechniquesUnderstand model training techniques such as transfer learning, hyperparameter tuning, and reinforcement learning, along with strategies for enhancing AI performance.5. Applications and Use Cases of Generative AIDiscover how Generative AI is used in chatbots, art generation, music composition, drug discovery, and automated content creation, transforming multiple industries.6. Ethics, Bias, and Future of Generative AIExamine the ethical implications, risks of bias, and challenges related to AI hallucinations, misinformation, and regulatory frameworks in the evolving AI landscape.This course provides a structured way to assess and reinforce your knowledge in Generative AI, helping you stay ahead in this rapidly growing domain.
