跳至内容
Python

Tracks

Developing Large Language Models

更新 2026年3月
Learn to develop large language models (LLMs) with PyTorch and Hugging Face, using the latest deep learning and NLP techniques.
免费开始赛道

包含优质的 or 团队

PythonArtificial Intelligence16小时5,416

创建您的免费帐户

或者

继续操作即表示您接受我们的《使用条款》和《隐私政策》,并同意您的数据存储在美国。

深受数千家公司学员的喜爱

Group

培训2人或以上?

试试DataCamp for Business

曲目描述

Developing Large Language Models

Start your journey to developing Large Language Models (LLMs) today! In this track, you'll learn about the latest techniques for developing state-of-the-art language models responsible for the recent boom in generative AI models, like OpenAI's GPT-4, and Meta's Llama 3.Master deep learning with PyTorch to discover how neural networks can be used to model patterns in unstructured data, such as text. Discover how the transformers architecture has revolutionized text modeling, and how to leverage the variety of pre-trained LLMs available from Hugging Face. Finally, learn about the challenges and strategies involved in building and deploying LLMs, from inception to real-world application.

先决条件

本课程没有先决条件。
  • Course

    1

    Introduction to LLMs in Python

    Learn the nuts and bolts of LLMs and the revolutionary transformer architecture they are based on!

  • Project

    奖金

    Analyzing Car Reviews with LLMs

    Use LLMs to solve diverse language tasks for a car dealership company.

  • Course

    Explore the latest techniques for running the Llama LLM locally and integrating it within your stack.

  • Course

    Discover the exciting world of Deep Learning for Text with PyTorch and unlock new possibilities in natural language processing and text generation.

  • Course

    Learn about LLMOps from ideation to deployment, gain insights into the lifecycle and challenges, and learn how to apply these concepts to your applications.

Developing Large Language Models
6 Courses
跟踪完成

获得成就证明

将此证书添加到您的 LinkedIn 个人资料、简历或个人简介中。
在社交媒体和绩效考核中分享它

包含优质的 or 团队

立即报名

加入 19百万名学习者 立即开始Developing Large Language Models !

创建您的免费帐户

或者

继续操作即表示您接受我们的《使用条款》和《隐私政策》,并同意您的数据存储在美国。