Transformers, Large Language Models (LLMs) and Multimodal Learning
Training Provider: SINGAPORE MANAGEMENT UNIVERSITY
Course Reference: TGS-2024048935
S$660
Original: S$2,200
Save S$1,540
About This Course
This module delves into advanced deep learning models revolutionizing natural language processing tasks. Divided into two sessions, participants will explore the architecture, implementation, and applications of Transformers and Large Language Models (LLMs) using PyTorch.
What You'll Learn
- Describe the architecture and working principles of Transformers, including the attention mechanism and encoder-decoder architecture.
- Implement Transformers using PyTorch for building state-of-the-art language models.
- Describe the capabilities of Large Language Models (LLMs) and their significance in natural language understanding tasks.
- Apply fine-tuning techniques to adapt pre-trained LLMs for specific tasks such as text generation and question answering.
- Describe how multimodal models are able to simultaneously take inputs of varying formats and explore the capabilities of some of the commercially available multimodal models.
- Implement Transformers using PyTorch for building state-of-the-art language models.
- Describe the capabilities of Large Language Models (LLMs) and their significance in natural language understanding tasks.
- Apply fine-tuning techniques to adapt pre-trained LLMs for specific tasks such as text generation and question answering.
- Describe how multimodal models are able to simultaneously take inputs of varying formats and explore the capabilities of some of the commercially available multimodal models.
Entry Requirements
Nil
Course Details
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Note: To apply for this course, visit the SkillsFuture website or contact the training provider directly.
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