AI Resources

Web directory

Ethics

These Women Tried to Warn Us About AI

Lorena O'Neil | Rolling Stone

Universal and Transferable Adversarial Attacks on Aligned Language Models

Andy Zou et al.

Taxonomy of Risks posed by Language Models

Laura Weidinger et al.

Making AI Less “Thirsty”: Uncovering and Addressing the Secret Water Footprint of AI Models )PDF)

Pengfei Li et al.

Me-We-It: A Standard for Responsible AI

World Ethical Data Foundation

Evaluating the Social Impact of Generative AI Systems in Systems and Society

PDF | Irene Solaiman et al.

On the Dangers of Stochastic Parrots: Can Language Models Be Too Big?

PDF | Emily M. Bender, Timnit Gebru, Angelina McMillan-Major & Shmargaret Shmitchell

A.I. and Stochastic Parrots

Video | Emily M. Bender & Timnit Gebru

Distributed AI Research Institute

Timnit Gebru

Understanding Social Media Recommendation Algorithms

Arvind Narayanan

GPT-4 System Card

OpenAI

Security Portal

OpenAI

Sustainability

The carbon footprint of ChatGPT

Chris Pointon

Reducing the Carbon Impact of Generative AI Inference (today and in 2035) (PDF)

Andrew A. Chien et al.

Counting Carbon: A Survey of Factors Influencing the Emissions of Machine Learning (PDF)

Alexandra Sasha Luccioni (Hugging Face), Alex Hernandez-Garcia

Energy and Policy Considerations for Deep Learning in NLP (PDF)

Emma Strubell Ananya Ganesh Andrew McCallum (University of Massachusetts Amherst)

Estimating the carbon footprint of Bloom, a 176b parameter language model (PDF)

Alexandra Sasha Luccioni (Hugging Face), Sylvain Viguier (Graphcore), Anne-Laure Ligozat (LISN & ENSIIE)

The Carbon Footprint of ChatGPT

Kasper Groes Albin Ludvigsen (https://towardsdatascience.com/)

ChatGPT’s Electricity Consumption I

Kasper Groes Albin Ludvigsen (https://towardsdatascience.com/)

ChatGPT’s Electricity Consumption II

Kasper Groes Albin Ludvigsen (https://towardsdatascience.com/)

Cost to train an AI system to equivalent performance on ImageNet

Our World in Data

Computation used to train notable artificial intelligence systems

Our World in Data

Articles

Making Large Language Models work for you

Simon Willison

A good recap of LLM models and releases, interesting examples of how to use prompts and context windows, and some ethical pledges.

AI Improves Employee Productivity by 66%

Jakob Nielsen | Nielsen Norman Group

The workers at the frontlines of the AI revolution

Andrew Deck for rest of world

The Exploited Labor Behind Artificial Intelligence

Nash Weerasekera for Noema Magazine

What Is ChatGPT Doing … and Why Does It Work?

Stephen Wolfram

Google "We Have No Moat, And Neither Does OpenAI"

Dylan Patel and Afzal Ahmad

Building LLM applications for production

Chip Huyen

Generative AI Has an Intellectual Property Problem

Gil Appel, Juliana Neelbauer, and David A. Schweidel (Harvard Business Review)

Inside ChatGPT Plugins: How They Work (And Areas for Improvement)

Dan Hernandez (Nuvalence)

Design

Self-healing code is the future of software development

Ben Popper (Stackoverflow)

Development

Constitutional AI: Harmlessness from AI Feedback (PDF)

Yuntao Bai et al. Anthropic

AI: First New UI Paradigm in 60 Years

Jakob Nielsen

Technical

Attention Is All You Need: Transformer Architecture (PDF)

Ashish Vaswani et al. (Google at al.)

The Practical Guides for Large Language Models (GitHub repo)

Cornell University

Llama 2: Open Foundation and Fine-Tuned Chat Models

AIs

Chatbot Arena

Tome

Llama 2

TypingMind ChatGPT UI

Tools

Introducing the ChatGPT Memory Project

Shahrukh Khan and Navdeeppal Singh (Redis)

OpenAI Playground

OpenAI Tokenizer

OpenAI API

How to install Whisper on Mac, an amazing OpenAI’s speech-to-text recognition system

Egor Menyaylo

Video Instruction

ChatGPT Prompt Engineering for Developers (Deeplearning.ai + OpenAI)

State of GPT | BRK216HFS

Microsoft + Andrej Karpathy

Introduction to Machine Learning on Vertex AI

Google

Introduction to Generative AI

Google

Introduction to Large Language Models

Google

Improving Deep Reinforcement Learning via Quality Diversity, Open-Ended and AI-Generating Algorithms

MIT

Tips

How to build a Chatbot with ChatGPT API and a Conversational Memory in Python

Avra

Reports & References

Resources Are All You Need (to demystify ChatGPT and the generative AI tsunami)

Alja Isaković

Artificial Intelligence (to demystify ChatGPT and the generative AI tsunami)

Charlie Giattino, Edouard Mathieu, Julia Broden and Max Roser (Our World in Data)

ecosystem graphs

Stanford

Measuring trends in Artificial Intelligence

Stanford

Visual explanations of core machine learning concepts

MLU-Explain

Generative AI learning path

Google Cloud Skills Boost