Name: Aishwarya Prabhat
Type: User
Company: DBS | Ex-Shopee,Nvidia,HP,A*STAR
Bio: The first two letter's of Aishwarya's name are "AI" and AI (Artificial Intelligence) is what he is passionate about :D
Location: Singapore
Blog: www.aishwaryaprabhat.com
Aishwarya Prabhat's Projects
Performing, evaluating and tracking advanced Retrieval Augmented Generation methods ft. AzureML & LlamaIndex
Collection of Jupyter Notebooks with AI stuff!
BigBertha is an architecture design that demonstrates how automated LLMOps (Large Language Models Operations) can be achieved on any Kubernetes cluster using open source container-native technologies 🌟
Project prepared for Aish's NUS guest lecture 'Machine Learning in the Real World' for Masters students in IE5105 Modeling for Supply Chain Systems course
All code for CS7641 ML
This repository is a work-in-progress that will hold onto tutorials, cheatsheets, tips and best practices related to Docker and Kubernetes (and a bit of Travis CI and AWS).
A React Application using React, Docker, Travis CI and AWS
All things related to flask - tutorials, cheatsheets etc
A full-stack E-commerce website built using React, Redux, Django & PostgreSQL
Tutorials, Cheatsheets and Examples for React, JS, Node, HTML, CSS etc.
Getting Started with GoLang
GenAIOps on Kubernetes: A collection of reference architectures for running GenAI at scale on Kubernetes using OSS tooling
Tutorial and cheatsheet for Jenkins
A web app to tell you which important concepts to study for exams based on past year papers
A simple containerised setup to get up and running with Llama2 quickly
A repo to demonstrate how to 'dockerize' a machine learning solution
A repository that will contain notes, sample code and cheatsheets related to machine learning. The repository is a work in progress.
Using a Machine Learning model to demo core Kubernetes concepts
Full stack development project using MERN Stack (MongoDB, Express, React, Node)
Cheatsheet and examples for MLflow
A relation-aware semantic parsing model from English to SQL