Ai多模态研究实习生（有留用机会）
Tasks
- Analyze model behavior using hidden states attention logits
- Build and optimize training datasets
- Design experiments and evaluate model performance
- Develop data analysis and scene clustering
- Develop model inference and data processing tools
- Document technical results and support data iteration
- Implement vector search and data filtering
- Write and maintain Python code for analysis and visualization
Perks/Benefits
Skills/Tech-stack
Attention Mechanisms | Clustering | DBSCAN | Data Analysis | Data Processing | Data Visualization | Embeddings | Faiss | Hidden States | K-Means | K-Nearest Neighbors | K-nearest | LLM | Logits | Milvus | Model Inference | Nearest neighbors | NumPy | Pandas | Prompt engineering | PyTorch | Python | Statistics | VLM | Vector Search
Education
Regions
Countries
States
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