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Posts by Craig Sullivan

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Transformer Explainer: LLM Transformer Model Visually Explained An interactive visualization tool showing you how transformer models work in large language models (LLM) like GPT.

LLM Transformer Model Explainer:

Nice tool for understanding Transformer-based AI models.

1 year ago 2 0 0 0
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CNN Explainer An interactive visualization system designed to help non-experts learn about Convolutional Neural Networks (CNNs).

Convolutional Neural Networks - a visual guide, lovely data viz:

1 year ago 2 0 0 0
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5 ChatGPT Hacks That You’ve Never Heard of (But Need to Know) These Simple ChatGPT Hacks Will Change Your Life — It’s Not Clickbait

5 ChatGPT Hacks That You’ve Never Heard of (But Need to Know)

More useful tips, including some I didn't know.

1 year ago 2 0 0 0
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4 Lifechanging ChatGPT Features You May Not Know About (Feb. 2025) ChatGPT has been releasing a ton of powerful features recently… Are you caught up?

4 ChatGPT Features You May Not Know About

Stuff you may not have even noticed! Max your outputs:

1 year ago 1 0 0 0
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What Is Retrieval-Augmented Generation aka RAG? Retrieval-augmented generation (RAG) is a technique for enhancing the accuracy and reliability of generative AI models with facts fetched from external sources.

What Is Retrieval-Augmented Generation aka RAG?

Really useful explanation of how to improve AI accuracy using added knowledge sources

1 year ago 2 0 0 0
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GitHub - microsoft/generative-ai-for-beginners: 21 Lessons, Get Started Building with Generative AI 🔗 https://microsoft.github.io/generative-ai-for-beginners/ 21 Lessons, Get Started Building with Generative AI 🔗 https://microsoft.github.io/generative-ai-for-beginners/ - microsoft/generative-ai-for-beginners

Generative AI for Beginners:

21-lesson program on Github for learning AI development using practical projects.

1 year ago 0 0 0 0
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World's Largest Call Center Deploys AI to "Neutralize the Accent" of Indian Employees The French company that owns the largest call center is using similar technology to "soften" its India-based agents' accents.

World's Largest Call Center Deploys AI to 'Neutralize' Indian Accents

This is an example of AI stuff that gives me the creeps.

1 year ago 0 0 0 0
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agent.ai | The Professional Network for AI Agents Get things done with the help of AI agents

AI Agent collection:

A dedicated network for AI agents and autonomous systems you can rent.

agent.ai

1 year ago 0 0 1 0
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GitHub - francedot/acu: A curated list of resources about AI agents for Computer Use, including research papers, projects, frameworks, and tools. A curated list of resources about AI agents for Computer Use, including research papers, projects, frameworks, and tools. - francedot/acu

A Curated List of AI Agent Resources ->

Nice Github collection of research papers, projects, frameworks and tools:

buff.ly/HU1LOyh buff.ly/fhVKsce

1 year ago 0 0 0 0
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What agentic AI actually is: a deeply researched and definitive explanation The hype free, deeply researched explanation of agentic AI that you’ve been waiting for. What it really is, and what it's not.

What is Agentic AI - A Deep Dive:

1 year ago 0 0 0 0
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Reclaiming AI as a Theoretical Tool for Cognitive Science - Computational Brain & Behavior The idea that human cognition is, or can be understood as, a form of computation is a useful conceptual tool for cognitive science. It was a foundational assumption during the birth of cognitive scien...

Finally to close this thought provoking special issue, @irisvanrooij.bsky.social and coauthors present "Reclaiming AI as a theoretical tool for cognitive science" where the authors stand firmly against the hype and harms of current AI practice. I was the proud guest editor of this incisive article.

1 year ago 73 15 5 7

Make sure to look into the company beforehand. As someone who conducts interviews, it really bugs us when candidates come to an interview without any knowledge of the company, or without any questions about the job, culture, or anything. Here's how to research a company

1 year ago 16 4 3 0
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AI and College Writing: An Orientation (Draft) AI and College Writing: An Orientation for Students (Draft) by Anna Mills Shared under a Creative Commons Attribution-Noncommercial 4.0 license (CC BY NC 4.0) Contents Request for comments Introduct...

My own thinking on this is far from complete. Still, my intuition tells me that refusing to guide students on ways AI can complement their learning and thinking is ultimately a dead end. I've tried to candidly articulate my reasons in a draft directed at students: docs.google.com/document/d/1...

1 year ago 108 22 8 14

We have a properly warped perception of how much various sectors contribute to the UK economy. The fishing industry, which is constantly in the news and to whom politicians of all rosettes regularly play, adds less to GDP than Games Workshop

1 year ago 1309 534 32 17

1/2 Valuable piece. TL;DR summary in chart.

Through past year plus, MAGA messaging was nonstop "worst economy in history," and press coverage revolved around "Yeah, this really feels terrible for everyone. [Have you seen the price of eggs?]"

To mention positive trends was to be Marie Antoinette.

1 year ago 163 51 6 4

Both GPT-4o and Claude were unreasonably good at helping me write the whole quiz.

Core skills:
* Suggesting people, places, topics, events from computing history
* Thematic round ideas like the anagrams round, visual picture round, and 'guess the language' round
* Clever puns for round names

1 year ago 74 1 6 0

Yes :-) You can see this very thing with tax changes. Rather than pick mechanisms (a) easily understood by the public (b) supported by the public and (c) bonehead easy to implement and without risk of foment - nah, let's pick some new territory and do a bit of cheese paring on all of them 😂

1 year ago 1 0 0 0
Video

This is neat - I gave Claude the famous bombers-with-red-dots image and the prompt "create a simulation as an artifact that will illustrate the point of this image." Then I said "make it better"

Now this is a much more intuitive explanation than a meme! Play with it here claude.site/artifacts/ca...

1 year ago 99 13 1 3
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This paper on Claude with Computer Use matches my experience- as a general purpose agent that can do anything in a computer, it is surprisingly good. Yet it still has enough flaws that it is a sign of the future than a full agent now.

But it also shows the future is soon. arxiv.org/pdf/2411.103...

1 year ago 99 12 3 3

True. After running workshops for nearly 900 people, at least 80% of those who were sceptical, turned out to be those who had simply never tried (much) to use these tools.

1 year ago 2 0 0 0
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AI can help learning... when it isn't a crutch.

There are now multiple controlled experiments showing that students who use AI to get answers to problems hurts learning (even though they think they are learning), but that students who use well-promoted LLMs as a tutor perform better on tests.

1 year ago 202 33 12 6

Regardless of your opinion on how well they are doing, I'm old enough to spot exactly the same ambitious but doomed technocrats as I spoke to in '96 & '97. All fired up to manage society, people, problems and annoyances away with the theatre of useless tweaking - rather than real structural work.

1 year ago 1 0 1 0
Book outline

Book outline

Over the past decade, embeddings — numerical representations of
machine learning features used as input to deep learning models — have
become a foundational data structure in industrial machine learning
systems. TF-IDF, PCA, and one-hot encoding have always been key tools
in machine learning systems as ways to compress and make sense of
large amounts of textual data. However, traditional approaches were
limited in the amount of context they could reason about with increasing
amounts of data. As the volume, velocity, and variety of data captured
by modern applications has exploded, creating approaches specifically
tailored to scale has become increasingly important.
Google’s Word2Vec paper made an important step in moving from
simple statistical representations to semantic meaning of words. The
subsequent rise of the Transformer architecture and transfer learning, as
well as the latest surge in generative methods has enabled the growth
of embeddings as a foundational machine learning data structure. This
survey paper aims to provide a deep dive into what embeddings are,
their history, and usage patterns in industry.

Over the past decade, embeddings — numerical representations of machine learning features used as input to deep learning models — have become a foundational data structure in industrial machine learning systems. TF-IDF, PCA, and one-hot encoding have always been key tools in machine learning systems as ways to compress and make sense of large amounts of textual data. However, traditional approaches were limited in the amount of context they could reason about with increasing amounts of data. As the volume, velocity, and variety of data captured by modern applications has exploded, creating approaches specifically tailored to scale has become increasingly important. Google’s Word2Vec paper made an important step in moving from simple statistical representations to semantic meaning of words. The subsequent rise of the Transformer architecture and transfer learning, as well as the latest surge in generative methods has enabled the growth of embeddings as a foundational machine learning data structure. This survey paper aims to provide a deep dive into what embeddings are, their history, and usage patterns in industry.

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Cover image

Just realized BlueSky allows sharing valuable stuff cause it doesn't punish links. 🤩

Let's start with "What are embeddings" by @vickiboykis.com

The book is a great summary of embeddings, from history to modern approaches.

The best part: it's free.

Link: vickiboykis.com/what_are_emb...

1 year ago 651 101 22 6

Fewer than 20 tickets remaining!

thirteen.barcamplondon.org

We're putting on an unconference and want *you* to come along.

An unconference is an event where *you* set the agenda. Come talk about whatever you're interested in. Learn about what other people are passionate about.
Win LEGO!
#BCLxiii

1 year ago 9 13 0 2
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5 Devices to Rule Them All This is the Testing List you are looking for. This is the way ;-) Here is the question: "When you audit websites, is there a common set of devices from your lab you always end up testing with?" The an...

5 Devices to Rule Them All: This is the Testing List you are Looking for -> www.linkedin.com/pulse/5-devi...

1 year ago 1 0 0 0
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1 year ago 29 8 0 0
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1/ X's algorithm was changed in mid-July 2024 to systematically boost Republican-leaning accounts and Elon Musk's own account following his endorsement of Donald Trump, according to a newly released computational study of engagement from the Queensland University of Technology.⬇️

1 year ago 7100 3017 281 606
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1 year ago 1 0 0 0
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