Loading and using NLP models in a thread-safe way
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what is thread safe Informational
- Concurrent backup and restore operations
- Using synchronized methods on a List
- Handling events in a thread-safe manner by subscribers
- Returning a result
- No atomicity for compound operations
- Managing large datasets and indexes in a thread-safe way
- Managing shared templates or generation contexts How can you design a thread-safe data migration process?
- Notifying listeners in a thread-safe manner
- More cores can improve parallelism
- Ordering of memory operations
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