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Introduction to LLMs in Python
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更新済み 2026/01
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PythonArtificial Intelligence3 時間11 ビデオ34 演習2,700 XP33,098修了証明書
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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.
前提条件
Working with Hugging Face1
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!
2
Fine-tuning LLMs
Learn how to leverage pre-trained LLMs and datasets from Hugging Face to fine-tune a model.
3
Evaluating LLM performance
Dive into different metrics to assess model performance and wrap up by learning about the challenges of applying LLMs in the real world.
Introduction to LLMs in Python
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