Harshit Kumar

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Generative AI

4 posts

  • Matrix Multiplication in CUDA
    CUDA

    Matrix Multiplication in CUDA

    Matrix multiplication is at the heart of deep learning. In this evolving world of LLMs, the need for fast and efficient matrix multiplications is paramount. Nvidia CUDA allows...

    Jun 07, 2024 · 17 min read
  • Retrieval Augmented Generation (RAG) Chatbot for 10Q Financial Reports
    LLM

    Retrieval Augmented Generation (RAG) Chatbot for 10Q Financial Reports

    While Large Language Models (LLMs) are revolutionary, they sometimes get it wrong—like citing varying figures for something as critical as Tesla’s total assets on a given date. In...

    Apr 26, 2024 · 5 min read
  • Generative Adversarial Networks variants: DCGAN, Pix2pix, CycleGAN
    Deep Learning

    Generative Adversarial Networks variants: DCGAN, Pix2pix, CycleGAN

    First, make sure you read the first part of this post, Generative models and Generative Adversarial Networks. This post is its continuation.

    Apr 05, 2019 · 4 min read
  • Generative models and Generative Adversarial Networks
    Deep Learning

    Generative models and Generative Adversarial Networks

    In supervised learning, we have data x and response (label) y and the goal is to learn a function to map x to y e.g. regression, classification, object...

    Sep 28, 2018 · 3 min read
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