Mastering Gen AI: Language Models with Transformers
Gain experience in transformer-based models and essential natural language processing techniques, including attention mechanisms, GPT, and BERT, utilizing PyTorch for a diverse array of text classification and language-related tasks.
generative ai,language models,tranformers
Description for Mastering Gen AI: Language Models with Transformers
Attention Mechanisms in Transformers: Acquire a comprehensive understanding of how attention mechanisms in transformers encapsulate contextual information in natural language processing tasks.
Language Modeling with GPT and BERT: Explore the functions of decoder-based GPT and encoder-based BERT in language modeling and their respective applications.
Practical Application of Transformer-Based Models: Execute fundamental procedures such as positional encoding, masking, attention processes, and document categorization utilizing transformer models.
Applying PyTorch for Natural Language Processing Tasks: Learn how to use PyTorch functions and transformer-based models for real-world NLP tasks, such as language modeling, text categorization, and translation.
Level: Intermediate
Certification Degree: Yes
Languages the Course is Available: 1
Offered by: On edX provided by IBM
Duration: 3�5 hours per week 2 weeks (approximately)
Schedule: Flexible
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