大模型算法研究员-MiMo
Tasks
- Analyze model capability mechanisms
- Build algorithm evaluation methods
- Create instruction tuned and preference aligned datasets
- Design deep neural network architectures
- Implement RLHF/RLAIF preference alignment
- Optimize active learning and curriculum learning
- Optimize multimodal models for generalization
- Synthesize and preprocess training data
- Train and optimize large language models
Perks/Benefits
- N/A
Skills/Tech-stack
Active Learning | C++ | Curriculum learning | Data Generation | Data Preprocessing | Deep learning | Fine Tuning | Instruction Tuning | Language Models | Language Processing | Large Language Models | Multimodal Learning | Natural Language | Natural Language Processing | Preference alignment | PyTorch | Python | RLAIF | RLHF | Reinforcement Learning | Supervised Fine Tuning | TensorFlow
Education
N/A
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