Courses here cover named entity recognition, machine translation, text summarization, and multilingual NLP at scale, along with monitoring and observability for text generation and multilingual systems. Learners work through best practices for building and tracking these systems in real-world applications.
Courses in this academy
Text Generation Monitoring & Observability
Implement monitoring and observability for text generation.
Text Summarization Automation
Automate key workflows and processes in text summarization.
Multilingual NLP Monitoring & Observability
Implement monitoring and observability for multilingual nlp.
Named Entity Recognition Real-World Applications
Explore real-world use cases and applications of named entity recognition.
Machine Translation Best Practices
Adopt industry-proven best practices for machine translation.
Text Generation and Summarization
Implement abstractive and extractive summarization with copy mechanisms and content selection. Control text generation with constrained decoding, nucleus sampling, and evaluate with ROUGE, BERTScore, and human judgments.
Multilingual NLP at Scale
Learn strategies for scaling multilingual nlp in enterprise environments.