afg1/SmolLM2-135M-Instruct-thinking-function_calling-V0
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Andrew Green PRO
afg1
AI & ML interests
LLM edge inference & efficiency
LLMs and applications in ncRNA/curation generally
CNN applications in medical physics (clinical and research)
ML application to frailty assessment
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🔦 What? The Hub as a vector search backend!
code: https://gist.github.com/davidberenstein1957/f0157a471ec59d9dd44ae6957f1d52ec
build on DuckDB: https://huggingface.co/docs/hub/en/datasets-duckdb
code: https://gist.github.com/davidberenstein1957/f0157a471ec59d9dd44ae6957f1d52ec
build on DuckDB: https://huggingface.co/docs/hub/en/datasets-duckdb
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Meta-Chunking: Learning Efficient Text Segmentation via Logical Perception
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DocLayout-YOLO: Enhancing Document Layout Analysis through Diverse Synthetic Data and Global-to-Local Adaptive Perception
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Are LLMs Better than Reported? Detecting Label Errors and Mitigating Their Effect on Model Performance
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