- Type Validation
- Level Intermediate
- Time Days
- Cost Paid
This badge earner can describe and create Gen AI models for NLP. They have acquired knowledge of NLP applications and fundamentals for building small and large LMs such as N-grams, Word2vec, and Sequence-to-sequence. They can also use, train, and optimize neural networks for document categorization prediction. They possess the knowledge to evaluate the quality of generated text using metrics, such as Perplexity and BLEU. The badge earner can also build and train a simple language model.
- Type Validation
- Level Intermediate
- Time Days
- Cost Paid
Skills
Earning Criteria
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Pass the Coursera course assessment criteria.