Miclaw-大模型训练推理方向实习生
Tasks
- Collaborate on model chip co design for inference systems
- Evaluate and compare model performance on edge scenarios
- Optimize inference with quantization KV Cache and attention improvements
- Reproduce large language model inference optimization techniques
- Research efficient model architectures for limited compute and memory
- Transfer research results into production engineering implementations
Perks/Benefits
- N/A
Skills/Tech-stack
Attention | C++ | CUDA | Compiler optimization | High Performance | High-Performance Computing | KV cache | Model Compression | Operator optimization | Parallel Computing | Performance Computing | Python | Quantization
Education
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