jay alammar

Jay alammar

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The system can't perform the operation now. Try again later. Citations per year. Duplicate citations. The following articles are merged in Scholar.

Jay alammar

Is it the future or the present? Can AI Image generation tools make re-imagined, higher-resolution versions of old video game graphics? Over the last few days, I used AI image generation to reproduce one of my childhood nightmares. I wrestled with Stable Diffusion, Dall-E and Midjourney to see how these commercial AI generation tools can help retell an old visual story - the intro cinematic to an old video game Nemesis 2 on the MSX. This fine-looking gentleman is the villain in a video game. Venom appears in the intro cinematic of Nemesis 2, a video game. This image, in particular, comes at a dramatic reveal in the cinematic. This figure does not show the final Dr. Venom graphic because I want you to witness it as I had, in the proper context and alongside the appropriate music. You can watch that here:.

No contributions on November 27th. This article focuses on jay alammar models, but these methods are applicable to other architectures and tasks as well. No contributions on August 14th.

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Is it the future or the present? Can AI Image generation tools make re-imagined, higher-resolution versions of old video game graphics? Over the last few days, I used AI image generation to reproduce one of my childhood nightmares. I wrestled with Stable Diffusion, Dall-E and Midjourney to see how these commercial AI generation tools can help retell an old visual story - the intro cinematic to an old video game Nemesis 2 on the MSX. This fine-looking gentleman is the villain in a video game. Venom appears in the intro cinematic of Nemesis 2, a video game.

Jay alammar

Prevent this user from interacting with your repositories and sending you notifications. Learn more about blocking users. Learn more about reporting abuse. Explain, analyze, and visualize NLP language models. Ecco creates interactive visualizations directly in Jupyter notebooks explaining the behavior of Transformer-based language models like GPT2, B…. Jupyter Notebook 1. Build a Jekyll blog in minutes, without touching the command line. Jupyter Notebook SImple notebook and dataset to demonstrate classification in TensorFlow. Jupyter Notebook 99

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We illustrate how some key interpretability methods apply to transformer-based language models. No contributions on December 17th. You can see it here the notebook or run it on colab. This progress has left the research lab and started powering some of the leading digital products. I then proceeded to discuss how the word2vec algorithm is used to create recommendation engines in companies like Airbnb and Alibaba. No contributions on July 13th. No contributions on February 23rd. No contributions on March 7th. No contributions on December 26th. ML Research Engineer. No contributions on September 8th. These visualizations are all created using Ecco , the open-source package we're releasing In the first part of this series, Interfaces for Explaining Transformer Language Models , we showcased interactive interfaces for input saliency and neuron activations.

In the previous post, we looked at Attention — a ubiquitous method in modern deep learning models. Attention is a concept that helped improve the performance of neural machine translation applications. In this post, we will look at The Transformer — a model that uses attention to boost the speed with which these models can be trained.

No contributions on May 31st. No contributions on December 22nd. No contributions on September 20th. No contributions on April 19th. Less No contributions. The darker the color, the higher the ranking. No contributions on September 18th. No contributions on November 26th. No contributions on June 22nd. In the previous post, we looked at the basic concepts of neural networks. No contributions on December 7th. No contributions on January 12th.

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