Llm基座模型算法实习生
Tasks
- Build training datasets using data synthesis
- Collaborate with robotics and hardware teams
- Conduct research and technical experiments for model adoption
- Design LLM algorithms for humanoid robots
- Develop LLM for dialogue and human robot interaction
- Implement environment perception with LLM
- Optimize LLM training finetuning and inference
- Support end to end LLM pretraining and post training
Perks/Benefits
- N/A
Skills/Tech-stack
BERT | CLIP | Data Synthesis | Deep learning | Direct Preference Optimization | Fine Tuning | Human Feedback | Inference Optimization | Language Models | Large Language Models | Learning from Human Feedback | Machine Learning | Post-training | Preference optimization | Pretraining | PyTorch | Reinforcement Learning | Reinforcement Learning from Human Feedback | Supervised Fine Tuning | Transformer | Vision Transformer
Education
Regions
Countries
States
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