Large language models are often designed to refuse harmful or sensitive requests. In this work, I identified a “refusal direction” in the Param-1-2.9B-Instruct model and ablated it, effectively con...

note: I am currently working on this paper and this iteration might have errors and assumptions. I will be reiterating this idea on a lil bigger model like qwen3 0.6B. Abstract I investigate how ...

Using a custom-trained Word2Vec model, centroid-based embeddings, and a FAISS ANN index, I built a semantic search engine that retrieves relevant arXiv papers in <10 ms, even at million-scale. T...

Ever wondered how a computer can learn to tell apples from oranges? At the heart of it there is something deceptevly simple - the Perceptron. In this post, we’ll discuss about Perceptron and MLPs ...