This credential earner can describe generative AI architectures and models, such as RNNs, Transformers, VAEs, GANs, and Diffusion Models. They can explain how LLMs, such as GPT, BERT, BART, and T5, are used in language processing. They understand how to implement tokenization using NLP libraries such as NLTK, spaCy, BertTokenizer, and XLNetTokenizer. The earner also knows how to create an NLP data loader using PyTorch to perform tokenization, numericalization, and padding of text data.

• Type Validation
• Level Intermediate
• Time Hours
• Cost Paid