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  <url><loc>https://nayanachandrika99.github.io/posts/a-multimodal-stochastic-medical-tutor-a-systems-build-story/</loc></url><url><loc>https://nayanachandrika99.github.io/posts/building-an-adaptive-tutoring-system-with-rl-and-knowledge-tracing/</loc></url><url><loc>https://nayanachandrika99.github.io/posts/when-regex-meets-fuzzy-matching-building-a-medical-document-classifier-that-knows-whos-who/</loc></url><url><loc>https://nayanachandrika99.github.io/posts/graph-augmented-rag-beyond-vector-similarity-for-private-equity-research/</loc></url><url><loc>https://nayanachandrika99.github.io/posts/mini-town-what-i-learned-from-an-abandoned-agent-simulation/</loc></url><url><loc>https://nayanachandrika99.github.io/posts/when-vlms-need-a-human-safety-net-building-document-extraction-with-confidence-calibration/</loc></url><url><loc>https://nayanachandrika99.github.io/posts/tiny-reasoner-engineering-a-135m-model-for-medical-expertis/</loc></url><url><loc>https://nayanachandrika99.github.io/posts/medical-reasoning-service/</loc></url><url><loc>https://nayanachandrika99.github.io/posts/aegis-building-a-fraud-detection-system/</loc></url><url><loc>https://nayanachandrika99.github.io/posts/self-healing-voice-agents-automating-prompt-remediation-with-aiops/</loc></url><url><loc>https://nayanachandrika99.github.io/posts/peeking-inside-diffusion-language-models-a-logitlens-analysis/</loc></url><url><loc>https://nayanachandrika99.github.io/posts/geometry-of-hidden-state/</loc></url><url><loc>https://nayanachandrika99.github.io/posts/causal-attribution-patching-part-2-pathscopes/</loc></url><url><loc>https://nayanachandrika99.github.io/posts/chain-of-thought-in-diffusion-language-models/</loc></url><url><loc>https://nayanachandrika99.github.io/posts/solving-a-maze-using-diffusion-model/</loc></url><url><loc>https://nayanachandrika99.github.io/posts/causal-attribution-patching-part-1-internal-mechanisms-of-language-models/</loc></url><url><loc>https://nayanachandrika99.github.io/posts/training-data-attribution-corroborative-methods/</loc></url><url><loc>https://nayanachandrika99.github.io/posts/training-data-attribution-contributive-methods/</loc></url><url><loc>https://nayanachandrika99.github.io/posts/beyond-the-leaderboard-new-frameworks-for-understanding-llm-behavior/</loc></url><url><loc>https://nayanachandrika99.github.io/posts/inner-workings-of-a-transformer-interpretability-techniques/</loc></url><url><loc>https://nayanachandrika99.github.io/posts/part-4-reverse-engineering-transformers-induction-heads/</loc></url><url><loc>https://nayanachandrika99.github.io/posts/part-3-reverse-engineering-transformers-path-expansion/</loc></url><url><loc>https://nayanachandrika99.github.io/posts/part-2-reverse-engineering-transformers-attention-heads-circuits/</loc></url><url><loc>https://nayanachandrika99.github.io/posts/part-1-reverse-engineering-transformers-deconstructing-attention/</loc></url><url><loc>https://nayanachandrika99.github.io/posts/probing/</loc></url><url><loc>https://nayanachandrika99.github.io/posts/bayesian-machine-learning/</loc></url><url><loc>https://nayanachandrika99.github.io/posts/testing-collections/</loc></url><url><loc>https://nayanachandrika99.github.io/</loc></url><url><loc>https://nayanachandrika99.github.io/collections/research/</loc></url><url><loc>https://nayanachandrika99.github.io/collections/ai-safety/</loc></url><url><loc>https://nayanachandrika99.github.io/collections/projects/</loc></url><url><loc>https://nayanachandrika99.github.io/collections/notes/</loc></url>
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