返回到 Gen AI Foundational Models for NLP & Language Understanding
学生对 IBM 提供的 Gen AI Foundational Models for NLP & Language Understanding 的评价和反馈
144 个评分
课程概述
This IBM course will equip you with the skills to implement, train, and evaluate generative AI models for natural language processing (NLP) using PyTorch. You will explore core NLP tasks, such as document classification, language modeling, and language translation, and gain a foundation in building small and large language models.
You will learn how to convert words into features using one-hot encoding, bag-of-words, embeddings, and embedding bags, as well as how Word2Vec models represent semantic relationships in text.
The course covers training and optimizing neural networks for document categorization, developing statistical and neural N-Gram models, and building sequence-to-sequence models using encoder–decoder architectures. You will also learn to evaluate generated text using metrics such as BLEU.
The hands-on labs provide practical experience with tasks such as classifying documents using PyTorch, generating text with language models, and integrating pretrained embeddings like Word2Vec. You will also implement sequence-to-sequence models to perform tasks such as language translation.
Enroll today to build in-demand NLP skills and start creating intelligent language applications with PyTorch.
热门审阅
TK
Mar 6, 2025
I have enjoyed myself in this course. I can't wait to apply the skills I have learned in this class. Thank you the fantastic Team.
SG
Mar 25, 2025
Super course,.. labs are too good to learn and challenging too.
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26 - Gen AI Foundational Models for NLP & Language Understanding 的 26 个评论（共 26 个）
创建者 Ethan K
•Aug 27, 2025
This course is soooo boring. It feels like it's written by robots for robots. I want to see humans teaching material and making it understandable, interesting, and relatable. This is just ai-slop.