Jay alammar

Prevent this user from interacting with your repositories and sending you notifications. Learn more about blocking users, jay alammar. Learn more about reporting abuse. Explain, analyze, and visualize NLP language models.

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.

Jay alammar

The system can't perform the operation now. Try again later. Citations per year. Duplicate citations. The following articles are merged in Scholar. Their combined citations are counted only for the first article. Merged citations. This "Cited by" count includes citations to the following articles in Scholar. Add co-authors Co-authors. New articles by this author. New citations to this author. New articles related to this author's research. Email address for updates. My profile My library Metrics Alerts.

No contributions on August 14th. Articles 1—17 Show more.

.

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.

Jay alammar

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. The biggest benefit, however, comes from how The Transformer lends itself to parallelization. A TensorFlow implementation of it is available as a part of the Tensor2Tensor package. In this post, we will attempt to oversimplify things a bit and introduce the concepts one by one to hopefully make it easier to understand to people without in-depth knowledge of the subject matter. In a machine translation application, it would take a sentence in one language, and output its translation in another.

Elena rybakina vs jessica pegula

Merged citations. No contributions on March 22nd. No contributions on June 8th. No contributions on February 21st. No contributions on May 20th. No contributions on March 15th. No contributions on August 13th. No contributions on August 29th. No contributions on September 26th. No contributions on July 9th. Citations per year.

Is it the future or the present? Can AI Image generation tools make re-imagined, higher-resolution versions of old video game graphics?

March Mar. No contributions on October 3rd. No contributions on April 1st. No contributions on March 27th. The Transformer architecture has been powering a number of the recent advances in NLP. No contributions on June 26th. No contributions on April 2nd. No contributions on September 4th. In this article, we will focus on the hidden state as it evolves from model layer to the next. No contributions on July 2nd. No contributions on December 24th.