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This repository contains LLM (Large language model) interview question asked in top companies like Google, Nvidia , Meta , Microsoft & fortune 500 companies.
🪄 Create rich visualizations with AI
An AI-powered research assistant that performs iterative, deep research on any topic by combining search engines, web scraping, and large language models. The goal of this repo is to provide the si…
Sample Project for an MLOps 101 course I am teaching
This repository offers a comprehensive collection of tutorials on state-of-the-art computer vision models and techniques. Explore everything from foundational architectures like ResNet to cutting-e…
21 Lessons, Get Started Building with Generative AI 🔗 https://microsoft.github.io/generative-ai-for-beginners/
Agent framework and applications built upon Qwen>=2.0, featuring Function Calling, Code Interpreter, RAG, and Chrome extension.
Convert ebooks to audiobooks with chapters and metadata using dynamic AI models and voice cloning. Supports 1,107+ languages!
Replace 'hub' with 'ingest' in any github url to get a prompt-friendly extract of a codebase
Debug, evaluate, and monitor your LLM applications, RAG systems, and agentic workflows with comprehensive tracing, automated evaluations, and production-ready dashboards.
This repository provides programs to build Retrieval Augmented Generation (RAG) code for Generative AI with LlamaIndex, Deep Lake, and Pinecone leveraging the power of OpenAI and Hugging Face model…
A curated list of Large Language Model resources, covering model training, serving, fine-tuning, and building LLM applications.
Course to get into Large Language Models (LLMs) with roadmaps and Colab notebooks.
Carbon Language's main repository: documents, design, implementation, and related tools. (NOTE: Carbon Language is experimental; see README)
NVIDIA curated collection of educational resources related to general purpose GPU programming.
A booklet on machine learning systems design with exercises. NOT the repo for the book "Designing Machine Learning Systems"
Data Labeling, Tracking and Annotation with AI
Welcome to the Llama Cookbook! This is your go to guide for Building with Llama: Getting started with Inference, Fine-Tuning, RAG. We also show you how to solve end to end problems using Llama mode…
A collection of notebooks/recipes showcasing some fun and effective ways of using Claude.
This repository showcases various advanced techniques for Retrieval-Augmented Generation (RAG) systems. RAG systems combine information retrieval with generative models to provide accurate and cont…
Awesome-LLM-3D: a curated list of Multi-modal Large Language Model in 3D world Resources
Out-of-distribution detection, robustness, and generalization resources. The repository contains a curated list of papers, tutorials, books, videos, articles and open-source libraries etc
Python GUI builder. GUI builder for Tkinter, CustomTkinter, Kivy and PySide (upcoming)
Learning Convolutional Neural Networks with Interactive Visualization.