Quick Start Guide to Large Language Models (LLMs): Unit 3
$49
ENROLL NOWCourse Overview
What You'll Learn
- This course explores building novel architectures tailored to unique challenges.
- You'll gain hands-on experience in building custom multimodal models that integrate visual and textual data, and learn to implement reinforcement learning for dynamic response refinement.
- Through practical case studies, you'll learn advanced fine-tuning techniques, such as mixed precision training and gradient accumulation, optimizing open-source models like BERT and GPT-2.
This course explores building novel architectures tailored to unique challenges. You'll gain hands-on experience in building custom multimodal models that integrate visual and textual data, and learn to implement reinforcement learning for dynamic response refinement. Through practical case studies, you'll learn advanced fine-tuning techniques, such as mixed precision training and gradient accumulation, optimizing open-source models like BERT and GPT-2. Transitioning from theory to practice, the course also covers the complexities of deploying LLMs to the cloud, utilizing techniques like quantization and knowledge distillation for efficient, cost-effective models. By the end of this course, you'll be equipped with the skills to evaluate LLM tasks and deploy high-performing models.
Course FAQs
Is this an accredited online course?
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How do I enroll in this online school program?
To enroll, click the 'ENROLL NOW' button on this page. You will be taken to the official page for 'Quick Start Guide to Large Language Models (LLMs): Unit 3' on the Pearson online class platform, where you can complete your registration.
