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.
Discover the critical role of clean data and effective data preparation techniques essential for NLP model quality. Using LLM DataStudio, navigate supported workflows, customize interfaces, and implement quality control measures. Learn to set up projects and leverage collaboration features to enhance team efficiency.
Master QnA dataset creation, ensuring accuracy through validation and quality assurance processes.
Perfect fine-tuning with H2O LLM Studio, where you'll tailor models to specific tasks. Explore workflows, employ data augmentation strategies, and select optimal architectures from pre-trained models.
Delve deeper into advanced techniques like Quantisation and LoRA for model compression, optimizing your NLP applications for real-world deployment.
Earn your LLM Certification Level 2, showcasing your expertise in data preparation, fine-tuning, and model optimization. This certification is ideal for professionals that are aiming to excel in specialized roles within NLP, machine learning, and data engineering.
Join Andreea Turcu in this course and elevate your skills in harnessing LLMs for cutting-edge NLP projects, where you’ll dive into practical applications of language models and supercharge your AI career!
涵盖的内容
3个视频
显示有关单元内容的信息
3个视频•总计26分钟
Mastering Data Prep for Enhanced Language Model Performance•9分钟
Key Functions in Language Model Data Preparation•9分钟
LLM DataStudio: Streamline Language Model Data Prep•7分钟
At H2O.ai University, our mission is to deliver exceptional courses on state-of-the-art AI tools. These courses aim to support the H2O ai community in effectively using our tools and achieving certification success. We are committed to fostering a deep understanding and proficiency in AI, empowering our users to excel in their endeavors.
When will I have access to the lectures and assignments?
To access the course materials, assignments and to earn a Certificate, you will need to purchase the Certificate experience when you enroll in a course. You can try a Free Trial instead, or apply for Financial Aid. The course may offer 'Full Course, No Certificate' instead. This option lets you see all course materials, submit required assessments, and get a final grade. This also means that you will not be able to purchase a Certificate experience.
What will I get if I subscribe to this Specialization?
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.
Is financial aid available?
Yes. In select learning programs, you can apply for financial aid or a scholarship if you can’t afford the enrollment fee. If fin aid or scholarship is available for your learning program selection, you’ll find a link to apply on the description page.