PremKumar Kora
premkumarkora
Every data set has stories to tell, I listen to them carefully and translate them into meaningful models Data Scientist with program Management experience
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Jupyter Notebook
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PremKumar Portfolio
RAG-Complete-Cook-Book is a practical guide and code collection for building Retrieval-Augmented Generation (RAG) pipelines. It provides step-by-step Jupyter notebooks and Python scripts covering the entire RAG workflow.
Contains code to Login, Retrieve Password, Register using a CSV file
Repositories
64RAG-Complete-Cook-Book is a practical guide and code collection for building Retrieval-Augmented Generation (RAG) pipelines. It provides step-by-step Jupyter notebooks and Python scripts covering the entire RAG workflow.
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PremKumar Portfolio
Production-ready Agentic AI Data Pipeline built with LangGraph for cleaning and segmentation. Bridging the gap between RAG and Deterministic AI Architecture for Enterprise Data Engineering.
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testing the architecture diagram
Qwen2-7B-Instruct double quantized model
Code to accompany my course from Software Engineer to AI Data Scientist
Context-Augmented Generation (CAG)
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Quantization of google/gemma-2-2b-it Model from 5+GB to 2+GB
AutoTokenizer loads the correct tokenizer for any pretrained Hugging Face transformer model
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This notebook is a hands-on guide to accessing and using a wide variety of Hugging Face models
A Python notebook that fetches a webpage, extracts and cleans its text content, and uses the LLaMA 3.2 model via the OLLAMA API to generate a concise summary. Ideal for quickly distilling long-form articles or blog posts into key insights.
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Contains code to Login, Retrieve Password, Register using a CSV file
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You will find lot of code snippets to understand the power of lists
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