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nareshganesan
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A high-performance distributed file system designed to address the challenges of AI training and inference workloads.
⏩ Create, share, and use custom AI code assistants with our open-source IDE extensions and hub of models, rules, prompts, docs, and other building blocks
Popular Kubernetes CRDs (CustomResourceDefinition) in JSON schema format.
LLM Finetuning with peft
Recipes for shrinking, optimizing, customizing cutting edge vision models. 💜
A collection of 🤗 Transformers.js demos and example applications
A new customer-facing LLM-agent framework to increase accuracy and reliability
A quick and dirty frontend plugin that integrates a GenAI feature into Backstage
Cache-Augmented Generation: A Simple, Efficient Alternative to RAG
A developer reference project for creating Retrieval Augmented Generation (RAG) chatbots on Windows using TensorRT-LLM
This repository contains LLM (Large language model) interview question asked in top companies like Google, Nvidia , Meta , Microsoft & fortune 500 companies.
A popular & widely deployed Open Source Container Native Storage platform for Stateful Persistent Applications on Kubernetes.
Open, Multi-modal Catalog for Data & AI
Simple go utility to download HuggingFace Models and Datasets
Neural Networks: Zero to Hero
An AI-powered data science team of agents to help you perform common data science tasks 10X faster.
Simple, unified interface to multiple Generative AI providers
[WIP] Resources for AI engineers. Also contains supporting materials for the book AI Engineering (Chip Huyen, 2025)
LLM (Large Language Model) FineTuning
Machine Learning Interviews from FAANG, Snapchat, LinkedIn. I have offers from Snapchat, Coupang, Stitchfix etc. Blog: mlengineer.io.
Go/gRPC service designed to enable generic rate limit scenarios from different types of applications.
Learn how to design large-scale systems. Prep for the system design interview. Includes Anki flashcards.