Continue your exploration of Large Language Models (LLMs) with Andreea Turcu's foundational Level 2 course! Specially designed for those with foundational knowledge, this course delves deep into optimizing Natural Language Processing (NLP) models through robust data practices.
H2O ai Large Language Models (LLMs) - Level 2
This course is part of Large Language Models Specialization
Instructors: Andreea Turcu
Included with
Recommended experience
What you'll learn
Learn to prepare and clean datasets for NLP, ensuring high-quality data to improve model outcomes.
Explore LLM DataStudio’s workflows, customize interfaces, and implement efficient data management strategies.
Apply advanced fine-tuning techniques in H2O LLM Studio to optimize language models for specific NLP tasks.
Skills you'll gain
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October 2024
1 assignment
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There are 4 modules in this course
What's included
3 videos
What's included
6 videos
What's included
4 videos
What's included
1 assignment
Offered by
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H2O.ai
Fred Hutchinson Cancer Center
Google Cloud
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Access to lectures and assignments depends on your type of enrollment. If you take a course in audit mode, you will be able to see most course materials for free. To access graded assignments and to earn a Certificate, you will need to purchase the Certificate experience, during or after your audit. If you don't see the audit option:
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