May 2025
Intermediate to advanced
336 pages
4h 15m
Chinese
Overview
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自然语言处理（NLP）在过去几年中迅速崛起。尽管谷歌、脸书、OpenAI等公司持续推出更大规模的语言模型，但许多团队在构建能够真正满足预期的高质量NLP应用时仍面临挑战。本实践指南将帮助您快速掌握NLP领域最新且最具潜力的趋势。
如果您具备机器学习的基本知识和一些 Python 经验，您将学习如何构建、训练和部署模型，以在您的组织中进行实际应用。作者 Ankur Patel 和 Ajay Uppili Arasanipalai 将使用代码和示例指导您完成整个过程，并重点介绍现代 NLP 的最佳实践。
- 使用BERT和GPT-3等最先进的NLP模型解决命名实体识别、文本分类、语义搜索和阅读理解等NLP任务
- 训练性能与开箱即用系统相当或更优的 NLP 模型
- 了解Transformer架构和现代技巧，如迁移学习，这些技巧正在NLP领域掀起革命
- 熟悉行业常用工具，包括 spaCy、Hugging Face 和 fast.ai
- 使用 Python 和 PyTorch 从零开始构建 NLP 管道的核心部分，包括分词器、嵌入和语言模型
- 将模型从 Jupyter 笔记本中迁移出来，学习如何在生产环境中部署、监控和维护它们
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