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Introduction to LLMs in Python

中级技能水平
更新时间 2026年1月
Learn the nuts and bolts of LLMs and the revolutionary transformer architecture they are based on!
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PythonArtificial Intelligence3 小时11 视频34 练习2,700 经验值32,004成就声明

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课程描述

Uncover What's Behind the Large Language Models Hype



Large Language Models (LLMs) have become pivotal tools driving some of the most stunning advancements and applications in today's AI landscape. This hands-on course will equip you with the practical knowledge and skills needed to understand, build, and harness the power of LLMs for solving complex language tasks such as translation, language generation, and more.

Discover LLM Architecture and Leverage Pre-Trained Models



Through interactive coding exercises, you'll discover different transformer architectures and how to identify them. You'll explore leveraging pre-trained language models and datasets from Hugging Face for fine-tuning and evaluating your model using advanced metrics that fit LLMs. Finally, you'll find out more about ethical and bias concerns relevant to LLMs and ways to identify these. By the end of this course, you will be able to build LLMs, fine-tune, and evaluate them using specialized metrics while understanding the key challenges and ethical considerations of enabling real-world LLM applications.

先决条件

Working with Hugging Face
1

Getting Started with Large Language Models (LLMs)

Begin your journey with Large Language Models (LLMs) by understanding what they are and what they can do, and peek under the hood to get an idea of how they work!
开始章节
2

Fine-tuning LLMs

3

Evaluating LLM performance

Introduction to LLMs in Python
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