人工智能全能实战课：用 PyTorch 构建聊天机器人并微调 GPT 模型（含 Transformer 项目）

本课程是完整的 AI 实战训练营，结合理论讲解与项目实践，带你掌握神经网络、CNN、反向传播、损失函数等核心知识，并使用 PyTorch 构建图像分类与聊天机器人系统。你将学习基于 Transformer 架构开发聊天助手，使用 OpenAI 的 GPT-2 模型并进行微调，实现类似 ChatGPT 的问答功能。适合具备 Python 基础的开发者，是深入理解 AI 模型构建与微调的实战路线。

本教程为高质量英文原版视频课程，英文基础较弱的同学可通过翻译插件辅助学习。

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教程名称：Complete Artificial Intelligence Bootcamp| ChatBot | ChatGPT

下载连结：https://www.nidown.com/chatgpt-423108.html

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最便捷、最实惠的 ChatGPT Plus 升级服务来了！！！

点击查看详情：https://www.kkmac.com/go/chatgpt

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英文原版介绍

Published 7/2024
Created by Gaurav K. Verma
MP4 | Video: h264, 1280×720 | Audio: AAC, 44.1 KHz, 2 Ch
Genre: eLearning | Language: English | Duration: 100 Lectures ( 4h 56m ) | Size: 5.13 GB

Master AI and PyTorch with hands-on projects. Build your own ChatBot using Transformers and Finetune your own ChatGPT!!

What you’ll learn:

Understand How Neural Networks Work (Theory and Applications)
Understand How Convolutional Networks Work (Theory and Applications)
Understand how the Backpropagation algorithm works
Understand Weight Initialization and Regularization Techniques
Understand Loss Functions in Neural Networks
Visualize the Learning Process of Neural Networks
Build handwritten digit recognition AI with feedforward network
Build handwritten digit image classification using CNN AI
Build a Chatbot with Attention
Build a Chatbot using Transformers Architecture
Use OpenAI’s open source GPT2
Finetune your own GPT2 for Q&A just like ChatGPT

Requirements:

Basic understanding of Python Programming