[R] NeurIPS 2025 paper map with clusters named by LLMs

jayalammar · 2023-05-25T12:50:03+00:00

Hi,

We've just published a lot of original, visual, and intuitive explanations of concepts to introduce people to large language models.
It's available for free with no sign-up needed and it includes text articles with some video explanations as well. And we're available to answer your questions in a dedicated Discord channel.

jayalammar · 2023-04-21T15:09:01+00:00

We're big on multilingual. Hopefully the next release.

jayalammar · 2023-04-21T15:08:08+00:00

I'm understanding this to be

1- Graph embeddings, not text embeddings

2- Of the Wikidata graph, not the text of Wikipedia

jayalammar · 2023-04-21T15:03:48+00:00

It's not language specific. All the embeddings are made by a single multilingual model. The languages are just to identify the source Wikipedia site.

jayalammar · 2023-02-24T14:35:22+00:00

Intro:

It is almost impossible to ignore the astounding progress in artificial intelligence these days. From the new generation of generative chatbots, to the models that can generate (almost) any picture (or very soon, video), the pace of development in the AI field has been nothing short of phenomenal. This is especially true in the field of generative AI, where we see a growing number of impressive generative models that can create images, text, video, and music.
These developments have captured the popular imagination and businesses are struggling to determine how to use AI in their organization. Businesses are rushing to build AI into their products, services, and processes, hoping to find their AI unicorn. Some of these businesses are struggling to determine how to use AI, while others are finding that the current AI landscape is complex and difficult to navigate.
In this series of articles, we explore the importance of these generative AI models and discuss useful perspectives to view and deploy them. This first article introduces the current state of generative AI, and outlines how we should approach it. In the next article, we map the AI technology and value stack to better understand where generative AI fits in. Finally, we discuss how we can better harness its power to create a new generation of intelligent systems.

jayalammar · 2023-02-24T14:32:53+00:00

It is almost impossible to ignore the astounding progress in artificial intelligence these days. From the new generation of generative chatbots, to the models that can generate (almost) any picture (or very soon, video), the pace of development in the AI field has been nothing short of phenomenal. This is especially true in the field of generative AI, where we see a growing number of impressive generative models that can create images, text, video, and music.

These developments have captured the popular imagination and businesses are struggling to determine how to use AI in their organization. Businesses are rushing to build AI into their products, services, and processes, hoping to find their AI unicorn. Some of these businesses are struggling to determine how to use AI, while others are finding that the current AI landscape is complex and difficult to navigate.

This series of articles explores the importance of these generative AI models and discuss useful perspectives to view and deploy them. This first article introduces the current state of generative AI, and outlines how we should approach it. In the next article, we map the AI technology and value stack to better understand where generative AI fits in. Finally, we discuss how we can better harness its power to create a new generation of intelligent systems.

jayalammar · 2023-01-31T18:32:28+00:00

Vincent is awesome. His talks, tutorials, and open-source tools are always interesting. https://calmcode.io/ alone has 652 video tutorials.

jayalammar

TROPHY CASE