- 🔭 Data Explorer and Model Tinkerer
- 🔍 Interested in Artificial Intelligence & Machine Learning
- 🧰 Core Stack: Python, Pandas/PySpark, scikit-learn, LightGBM, PyTorch, Hugging Face LLM libraries
- 🔧 Other Tools: MLFlow/WandB, Git, Azure ML
tommybark / elk Goto Github PK
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Keeping language models honest by directly eliciting knowledge encoded in their activations. Building on "Discovering latent knowledge in language models without supervision" (Burns et al. 2022)
License: MIT License