Think big
This algorithm, introduced in 1958 by Frank Rosenblatt, was one of the first neural networks and used to classify simple visual patterns.
What is the Perceptron?
This type of GPU memory uses a stacked design to provide higher memory bandwidth and energy efficiency.
What is High Bandwidth Memory (HBM)?
This type of deep learning neural network is designed to process and analyze images and is used in many computer vision applications.
What is a Convolutional Neural Network (CNN)?
This pre-trained NLP model developed by Google researchers in 2018 stands for Bidirectional Encoder Representations from Transformers.
What is BERT?
This acronym stands for "Generative Pre-trained Transformer" and refers to a type of deep learning model used for natural language processing.
What is GPT?
This deep learning model, introduced in 1986 by Geoffrey Hinton and his colleagues, used backpropagation to train multi-layer neural networks and was the precursor to modern deep learning.
What is the Backpropagation algorithm?
This type of GPU memory is much faster than traditional RAM and is used to store frequently accessed data.
What is GDDR (Graphics Double Data Rate) ?
This deep learning framework was developed by Facebook AI Research and is known for its ease of use and ability to train large models efficiently.
What is PyTorch?
This unsupervised learning method used to pre-train word embeddings involves predicting a word based on its surrounding context in a corpus of text.
What is word2vec?
This technology company developed the first GPT model, which had 117 million parameters and was released in 2018. Recently, the research firm estimates that the service provided by this company will eventually need over 30,000 Nvidia A100 graphics cards.
What is OpenAI?
This dataset, introduced in 1998 by Yann LeCun and his colleagues, was a benchmark for evaluating machine learning models for image classification tasks and helped to advance the field of deep learning.
What is the MNIST dataset?
This GPU architecture developed by NVIDIA features dedicated tensor cores for faster deep learning performance.
What is NVIDIA Turing or Ampere architecture
This deep learning architecture is composed of an encoder and a decoder, and is often used for tasks such as image and text generation.
What is an Autoencoder?
This neural network architecture used for natural language processing is based on self-attention mechanisms and was introduced in the paper "Attention is All You Need".
What is Transformer?
This GPT model, released in 2019 by OpenAI, had 1.5 billion parameters and showed impressive performance on a range of natural language tasks.
What is GPT-2?
This deep learning architecture, introduced in 2012 by Alex Krizhevsky and his colleagues, won the ImageNet Large Scale Visual Recognition Challenge and helped to popularize deep learning.
What is the AlexNet architecture?
This technology developed by NVIDIA allows multiple GPUs to work together in parallel to accelerate deep learning training and other compute-intensive tasks.
What is NVIDIA SLI(Scalable Link Interface ) or NVLink?
This deep learning technique is based on the structure and function of the human brain and is used for tasks such as natural language processing and speech recognition.
What is a Recurrent Neural Network (RNN)?
This task in natural language processing involves assigning labels to a piece of text based on its content, such as identifying the sentiment of a movie review.
What is text classification?
This GPT model, released in 2020 by OpenAI, had 175 billion parameters.
What is GPT-3?
This deep learning model, introduced in 2014 by Ian Goodfellow and his colleagues, uses generative adversarial networks to generate realistic images and other types of data.
What is the Generative Adversarial Network (GAN) model?
This technology developed by NVIDIA allows GPUs to be used for virtualization and cloud computing applications.
What is NVIDIA GRID or NVIDIA Virtual Compute Server (vComputeServer)?
This deep learning technique is used to reduce the dimensionality of high-dimensional datasets while preserving their essential structure.
What is Principal Component Analysis (PCA)?
This popular open-source NLP library developed by the Natural Language Toolkit Project includes tools for tasks such as tokenization, stemming, and part-of-speech tagging.
What is NLTK?
The newest version of OpenAI's language model system with 100 trillion parameters, which was officially launched on March 13, 2023 with a paid subscription.
What is GPT-4?