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Course Description
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.
Training 2 or more people?
Get your team access to the full DataCamp platform, including all the features.- 1
Getting Started with Large Language Models (LLMs)
FreeBegin 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.
Preparing for fine-tuning50 xpTokenizing text100 xpMapping tokenization100 xpFine-tuning through training50 xpSetting up training arguments100 xpSetting up the trainer100 xpUsing the fine-tuned model100 xpFine-tuning approaches50 xpTransfer learning with one-shot learning100 xpTransfer learning approaches50 xp - 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.
The evaluate library50 xpLoading metrics with evaluate100 xpDescribing metrics100 xpUsing evaluate metrics100 xpMetrics for language tasks: perplexity and BLEU50 xpEvaluating perplexity100 xpBLEU translations100 xpMetrics for language tasks: ROUGE, METEOR, EM50 xpEvaluating with ROUGE100 xpEvaluating with METEOR100 xpEvaluating with EM100 xpSafeguarding LLMs50 xpChecking toxicity100 xpEvaluating regard100 xpThe finish line50 xp
Training 2 or more people?
Get your team access to the full DataCamp platform, including all the features.In other tracks
Snowflake AI Fundamentalscollaborators
prerequisites
Working with Hugging Face
Jasmin LudolfSenior Data Science and AI Content Developer, DataCamp
Jasmin is a Senior Content Developer at DataCamp. After ten years as a global marketing manager in the music industry, she changed careers to follow her curiosity for data. Her passion is value exchange and making data science and AI accessible to all.
Iván P.C.Senior Data Science & AI Manager
Dr. Iván Palomares is passionate about education and AI. He has taught AI and Machine Learning at top universities, business schools, global conferences, and summer schools. His research spans personalized recommender systems, reinforcement learning, and generative AI, with contributions to industry projects. As an academic leader, Iván has directed and designed postgraduate programs in machine learning, analytics, and data science for international business schools.
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