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      • Collinearity-Indepth
      • Finetuning DBSCAN(Density-Based Spatial Clustering of Applications with Noise)

soumya.swain186@gmail.com

Data Science

LLM vs Agents ? A mathematical intuition

Over the past few years, Large Language Models (LLMs) like ChatGPT, Claude, and LLaMA have taken centre stage in AI research and product development. These models are incredibly powerful at generating human-like text, answering questions, summarising content, and more. But now, a new paradigm is emerging: AI Agents. These are Read more…

By soumya.swain186@gmail.com, 4 monthsMay 21, 2025 ago
Data Science

LoRA(Low Rank Adaption of LLM) explained

LoRA is a very famous technique known to people working with Large Language Models. In this article we will deep dive with mathematics (Linear Algebra)understand what good it does! There are 3 steps to understand LoRA. Rank of a Matrix Matrix Factorization (In this case Singular Value Decomposition or SVD Read more…

By soumya.swain186@gmail.com, 2 yearsNovember 9, 2023 ago
Data Science

Running a huge LLM on a single GPU in Colab

With the rise and rise of generative AI in the Tech world , one can’t stay unaware of the Large Language Models(LLMs).These cutting age models are known to do human like tasks, behave like humans and respond like humans when asked questions.With each passing day they are growing in size Read more…

By soumya.swain186@gmail.com, 2 yearsSeptember 21, 2023 ago
Data Science

Finetuning DBSCAN(Density-Based Spatial Clustering of Applications with Noise)

DBSCAN is popular clustering algorithm with the following advantages: Unlike k-means we don’t have to specify the number of clusters. Can automatically detect the outliers Works well with noisy datasets Works well with clusters of any shape unlike k-means which works well for spherical clusters However DBSCAN algorithms works best Read more…

By soumya.swain186@gmail.com, 2 yearsJune 23, 2023 ago
Data Science

Collinearity-Indepth

By soumya.swain186@gmail.com, 2 yearsJune 23, 2023 ago

Recent Posts

  • LLM vs Agents ? A mathematical intuition
  • LoRA(Low Rank Adaption of LLM) explained
  • Running a huge LLM on a single GPU in Colab
  • Finetuning DBSCAN(Density-Based Spatial Clustering of Applications with Noise)
  • Collinearity-Indepth

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