AI/ML

AI/ML

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Jargon
Convert jargon to plain english
·explainjargon.com·
Jargon
Using GPT-3 to explain how code works
Using GPT-3 to explain how code works
One of my favourite uses for the GPT-3 AI language model is generating explanations of how code works. It’s shockingly effective at this: its training set clearly include a vast …
·simonwillison.net·
Using GPT-3 to explain how code works
This Story Was Written Entirely by AI — Part 2
This Story Was Written Entirely by AI — Part 2
Let’s call it “The Church of Virtual AWakening” I have not edited any of it. You can tell by the punctuation errors. The only input I gave…
·medium.com·
This Story Was Written Entirely by AI — Part 2
A new AI draws delightful and not-so-delightful images
A new AI draws delightful and not-so-delightful images
OpenAI’s DALL-E 2 is incredible at turning text into images. It also highlights the problem of AI bias — and the need to change incentives in the industry.
·vox.com·
A new AI draws delightful and not-so-delightful images
DALL-E 2 Examples
DALL-E 2 Examples
Image prompts that were turned into pictures using OpenAI's DALL-E 2
·dalle2examples.carrd.co·
DALL-E 2 Examples
Michael Green on Twitter
Michael Green on Twitter
Experiments I conducted with DALL·E 2 from @OpenAI replicating styles of well known portrait photographers using photo-realistic AI. 🧵1. Dorothea Lange pic.twitter.com/845AzE51xu— Michael Green (@triplux) June 30, 2022
·twitter.com·
Michael Green on Twitter
bigscience/bloom · Hugging Face
bigscience/bloom · Hugging Face
We’re on a journey to advance and democratize artificial intelligence through open source and open science.
·huggingface.co·
bigscience/bloom · Hugging Face
Weights & Biases – Developer tools for ML
Weights & Biases – Developer tools for ML
WandB is a central dashboard to keep track of your hyperparameters, system metrics, and predictions so you can compare models live, and share your findings.
·wandb.ai·
Weights & Biases – Developer tools for ML
Reliance on metrics is a fundamental challenge for AI
Reliance on metrics is a fundamental challenge for AI
Optimizing metrics is a central aspect of most current artificial intelligence (AI) approaches, yet overemphasizing metrics leads to manipulation, short-termism, and other negative consequences. This poses a fundamental challenge within AI. We review how metrics can go wrong in practice, and we put forward an evidence-based framework toward mitigating these harms.
·cell.com·
Reliance on metrics is a fundamental challenge for AI
Enterprise Data Analytics for a Connected Multi-Cloud World
Enterprise Data Analytics for a Connected Multi-Cloud World
Teradata Vantage is the connected multi-cloud data platform for enterprise analytics that delivers actionable answers and predictive intelligence. Learn more.
·teradata.com·
Enterprise Data Analytics for a Connected Multi-Cloud World
Real World Recommendation System - Part 1
Real World Recommendation System - Part 1
Training a collaborative filtering based recommendation system on a toy dataset is a sophomore year project in colleges these days. But where the rubber meets the road is building such a system at scale, deploying in production, and serving live requests within a few hundred milliseconds while the user is waiting for the page to load. To build a system like this, engineers have to make decisions spanning multiple moving layers like:
·blog.fennel.ai·
Real World Recommendation System - Part 1
TaxProf Blog: Will Machines Replace Us? Machine-Authored Texts And The Future Of Scholarship
TaxProf Blog: Will Machines Replace Us? Machine-Authored Texts And The Future Of Scholarship
Benjamin Alarie (Toronto; Google Scholar) & Arthur J. Cockfield (Queen's; Google Scholar), Will Machines Replace Us? Machine-Authored Texts and the Future of Scholarship, 3 L., Tech & Humans 5 (2021): We present here the first machine-generated law review article. Our self-interest motivates us to believe that knowledge workers who write...
·taxprof.typepad.com·
TaxProf Blog: Will Machines Replace Us? Machine-Authored Texts And The Future Of Scholarship