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Hi there šŸ‘‹

  • šŸ‘‹ Hi, Iā€™m @BhusanChettri
  • šŸ‘€ Iā€™m interested in AI and Data Science and Interpretable Machine Learning. My recent focus has been on Large Language Models.
  • šŸŒ± Iā€™m currently learning how to make use of LLMs for various downstreaming applications in Speech and NLP.
  • šŸ’žļø Iā€™m looking to collaborate on AI, NLP and applications of LLM
  • šŸ“« How to reach me: contact me through my email please

Bhusan Chettri's Projects

ai-matcher icon ai-matcher

Matching service provide with service consumers using AI

autovc icon autovc

AutoVC: Zero-Shot Voice Style Transfer with Only Autoencoder Loss

da2019 icon da2019

Data Analytics Module - Part I materials for 2018-2019 at QMUL

da2020 icon da2020

Data Analytics - Part 1: Machine learning with Python

dice icon dice

Generate Diverse Counterfactual Explanations for any machine learning model.

generative-ai icon generative-ai

Sample code and notebooks for Generative AI on Google Cloud

hands-on-llms icon hands-on-llms

šŸ¦– š—Ÿš—²š—®š—暝—» about š—Ÿš—Ÿš— š˜€, š—Ÿš—Ÿš— š—¢š—½š˜€, and š˜ƒš—²š—°š˜š—¼š—æ š——š—•š˜€ for free by designing, training, and deploying a real-time financial advisor LLM system ~ š˜“š˜°š˜¶š˜³š˜¤š˜¦ š˜¤š˜°š˜„š˜¦ + š˜·š˜Ŗš˜„š˜¦š˜° & š˜³š˜¦š˜¢š˜„š˜Ŗš˜Æš˜Ø š˜®š˜¢š˜µš˜¦š˜³š˜Ŗš˜¢š˜­š˜“

interpret icon interpret

Fit interpretable models. Explain blackbox machine learning.

ml-for-fraud-transaction-detection icon ml-for-fraud-transaction-detection

Main goal of this tasks includes gaining an in-depth insight on the dataset through data exploration. And, build a classifier that generalises to unseen fraudulent transaction

promptbench icon promptbench

A unified evaluation framework for large language models

sarvadnya icon sarvadnya

This repo is a collection of various PoCs (Proof-of-Concepts) to interface custom data using LLMs.

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