nlp算法工程师-2027届
Tasks
- Apply knowledge fusion
- Apply models to edge computing scenarios
- Build and train Transformer based systems
- Conduct semantic matching
- Develop natural language understanding models
- Execute slot filling and slot inheritance
- Explore model distillation
- Fine-tune large language models
- Implement multi turn semantic understanding
- Perform intent recognition
- Write and optimize prompts
Perks/Benefits
Skills/Tech-stack
Deep learning | DeepSpeed | Information Retrieval | Intent Recognition | Language Processing | Linux | Machine Learning | Natural Language | Natural Language Processing | PEFT | Prompt engineering | PyTorch | Python | Semantic Matching | Slot Filling | Transformer
Education
Roles
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