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
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H2O ai Large Language Models (LLMs) - Level 2
This course is part of Large Language Models Specialization
Instructors: Andreea Turcu
Included with 
Gain insight into a topic and learn the fundamentals.
Intermediate level
Recommended experience
3 hours to complete
3 weeks at 1 hour a week
Flexible schedule
Learn at your own pace
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
Details to know
Shareable certificate
Add to your LinkedIn profile
Recently updated!
October 2024
Assessments
1 assignment
Taught in English
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This course is part of the Large Language Models Specialization
When you enroll in this course, you'll also be enrolled in this Specialization.
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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
Recommended if you're interested in Machine Learning
Google Cloud
Google Cloud
Korea Advanced Institute of Science and Technology(KAIST)
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Frequently asked questions
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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When you enroll in the course, you get access to all of the courses in the Specialization, and you earn a certificate when you complete the work. Your electronic Certificate will be added to your Accomplishments page - from there, you can print your Certificate or add it to your LinkedIn profile. If you only want to read and view the course content, you can audit the course for free.
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