Pankaj Kumar – Medium

Pankaj Kumar

Extracting Independence Dates and Capitals Using LLMs and RAG on Wikipedia

Introduction

Oct 23

Extracting Independence Dates and Capitals Using LLMs and RAG on Wikipedia

Oct 23

RAG (Retrieval-augmented generation) on Wikipedia Page

Reading Country wiki to Get Independence Day & Capital using RAG

Oct 20

RAG (Retrieval-augmented generation) on Wikipedia Page

Oct 20

Was it the best of the times?

Impacts of frequent fact-checking on Daily conversations.

Sep 11, 2023

Was it the best of the times?

Sep 11, 2023

Detecting Lies of Lie Detectors Bayes Theorem and Prosecutor’s fallacy using Python.

Jun 2, 2023

Detecting Lies of Lie Detectors Bayes Theorem and Prosecutor’s fallacy using Python.

Jun 2, 2023

Published in
Python in Plain English

Historical Stock Data Analysis Part 2 Stationarity Test For Price Time Series

Dec 31, 2022

Historical Stock Data Analysis Part 2 Stationarity Test For Price Time Series

Dec 31, 2022

Published in
Python in Plain English

Historical Stock Data Analysis: Part 1 Normality Test For Returns

Dec 18, 2022

Historical Stock Data Analysis: Part 1 Normality Test For Returns

Dec 18, 2022

Published in
Python in Plain English

Using SymPy to calculate Future Value and Present Value

We use the following famous formula to calculate the future value of amounts that compound annually.

Oct 1, 2022

Using SymPy to calculate Future Value and Present Value

Oct 1, 2022

Contemporary Rulers of Delhi and London

Sep 11, 2022

Contemporary Rulers of Delhi and London

Sep 11, 2022

Published in
ILLUMINATION

Tail Of Two Articles

Why Data and Content Analysis skills Are Important For Everyone

Sep 10, 2022

Tail Of Two Articles

Sep 10, 2022

Published in
Geek Culture

Understanding Modern Portfolio Theory (MPT) Using Python

Sep 4, 2022

Understanding Modern Portfolio Theory (MPT) Using Python

Sep 4, 2022

Pankaj Kumar

Pankaj Kumar

MS Data Science SMU TX. Pursuing MSc Financial Engg. At WQU.Interest in Algos, Discovering Trends fm data. Methodical, conven/non-conven. Investigation of data.

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