实习-Ai研究员-大语言模型/视觉语言模型算法与后训练（博士优先）
Tasks
- Build long context memory structures
- Build visual language action architectures
- Construct retrieval augmented generation systems
- Design post training alignment strategies
- Develop large language model as judge frameworks
- Develop multimodal reasoning models
- Develop patent applications
- Evaluate model factuality and reasoning
- Execute independent research plans
- Implement RLAIF
- Implement RLHF
- Implement direct preference optimization
- Implement supervised fine tuning
- Publish in top conferences and journals
Perks/Benefits
- N/A
Skills/Tech-stack
AI Feedback | Direct Preference Optimization | Efficient Fine Tuning | Fine Tuning | Flax | Human Feedback | Instruction Tuning | JAX | Knowledge Based Reasoning | Language Models | Large Language Models | Learning from Human Feedback | LoRA | Long Context | Model Distillation | Multimodal Learning | Parameter efficient fine-tuning | Preference Modeling | Preference optimization | PyTorch | Python | QLoRA | RAG | Reinforcement Learning | Reinforcement Learning from AI Feedback | Reinforcement Learning from Human Feedback | Retrieval-Augmented Generation | Reward Function | Supervised Fine Tuning | Transformer | Vision Language Models | Vision-language
Education
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