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David Nadeau @Pythonner

Full cycle Machine Learning: I design, develop, deploy & support. Bot Populi, Bot Dei.

Joined April 2009
  • Tweets 3,152
  • Following 568
  • Followers 629
114 Photos and videos
David Nadeau retweeted
Raunak
@raunakdoesdev
17 Jun 2023
A recent work from @iddo claimed GPT4 can score 100% on MIT's EECS curriculum with the right prompting. My friends and I were excited to read the analysis behind such a feat, but after digging deeper, what we found left us surprised and disappointed. dub.sh/gptsucksatmit 🧵

No, GPT4 can’t ace MIT | Notion

What follows is a critical analysis of “Exploring the MIT Mathematics and EECS Curriculum Using Large Language Models”

flower-nutria-41d.notion.site
Aran Komatsuzaki
@arankomatsuzaki
16 Jun 2023
Exploring the MIT Mathematics and EECS Curriculum Using Large Language Models Presents a comprehensive dataset of 4,550 questions and solutions from all MIT EECS courses required for obtaining a degree arxiv.org/abs/2306.08997
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This is great. AI warfare presented as good thing is questionable (think lethal autonomous weapons) but else, I agree with all of it!
Marc Andreessen 🇺🇸
@pmarca
6 Jun 2023
Why AI Will Save The World By Marc Andreessen The era of Artificial Intelligence is here, and boy are people freaking out. Fortunately, I am here to bring the good news: AI will not destroy the world, and in fact may save it. 🧵
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David Nadeau retweeted
Sebastian Raschka
@rasbt
3 Jun 2023
A new Ahead of AI issue is out, where I am covering the latest research highlights concerning LLM tuning and dataset efficiency: magazine.sebastianraschka.co…

LLM Tuning & Dataset Perspectives

In the last couple of months, we have seen a lot of people and companies sharing and open-sourcing various kinds of LLMs and datasets, which is awesome.

magazine.sebastianraschka.com
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David Nadeau retweeted
Mark Tenenholtz
@marktenenholtz
1 Jun 2023
Everyone should learn to fine-tune LLMs. You can try (and fail) to force GPT-4 on to every solution, or you can reduce your costs and improve your accuracy by fine-tuning a task-specific LLM. Here's why, and some tips for getting started:
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David Nadeau retweeted
Pessimists Archive
@PessimistsArc
31 May 2023
🤔 newsletter.pessimistsarchive…

Remember Typewriter Licenses?

Imagine a world where you must seek permission from the government to own a potentially dangerous weapon - not a firearm, not an explosive, but a tool for writing. As bizarre as it sounds, this was...

newsletter.pessimistsarchive.org
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David Nadeau retweeted
OpenAI
@OpenAI
25 May 2023
We're launching ten $100,000 grants for building prototypes of a democratic process for steering AI. Our goal is to fund experimentation with methods for gathering nuanced feedback from everyone on how AI should behave. Apply by June 24, 2023: openai.com/blog/democratic-i…

Democratic inputs to AI

Our nonprofit organization, OpenAI, Inc., is launching a program to award ten $100,000 grants to fund experiments in setting up a democratic process for deciding what rules AI systems should follow,...

openai.com
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David Nadeau retweeted
Michael Nielsen@michael_nielsen
8 May 2023
More from Yoshua Bengio on AI safety: yoshuabengio.org/2023/05/07/…

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David Nadeau retweeted
Daniel Lemire
@lemire
9 Mar 2023
If you are Canadian and speak French and you have a PhD related to data science *or* networks/security, you can become my colleague. teluq.ca/site/emploi/offres/… teluq.ca/site/emploi/offres/…

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David Nadeau retweeted
Nathan Benaich
@nathanbenaich
26 Feb 2023
Poking an insanely high-dimensional black box with a stick for a living 🪄 washingtonpost.com/technolog…

Tech’s hottest new job: AI whisperer. No coding required.

Proponents of the growing field argue that the early weirdness of AI chatbots can be avoided by a human giving the machine all the right instructions.

washingtonpost.com
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David Nadeau retweeted
AK
@_akhaliq
16 Feb 2023
Augmented Language Models: a Survey abs: arxiv.org/abs/2302.07842
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2023 is the year AI/ML went from: -> people cherry-picking examples of systems giving the right answers to: ->people cherry-picking examples of systems making mistakes. Tells a lot on the giant leap we just made.
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Unashamed bragging: in 2007, on page 69 of my PhD thesis, I explained how to build a kind of language model on a Terabyte-sized dataset. Pre-Deep NN era: ruor.uottawa.ca/handle/10393…
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David Nadeau retweeted
elvis
@omarsar0
2 Feb 2023
Prompt Engineering Guide (1.8K ⭐️) Organized papers by date so it's easier to track the latest developments in prompt engineering. All the latest tools added too! github.com/dair-ai/Prompt-En…
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David Nadeau retweeted
Sebastian Raschka
@rasbt
1 Feb 2023
Replying to @flybird110013
I have a slightly extended version here, I hope it helps: sebastianraschka.com/blog/20…

What Are the Different Approaches for Detecting Content Generated by LLMs Such As ChatGPT? And How...

Since the release of the AI Classifier by OpenAI made big waves yesterday, I wanted to share a few details about the different approaches for detecting...

sebastianraschka.com
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David Nadeau retweeted
Sebastian Raschka
@rasbt
31 Jan 2023
OpenAI just launched the "AI Text Classifier" to identify texts generated by AI. Tried it, and IT DOES NOT WORK. platform.openai.com/ai-text-… Using my Python ML book published in 2015: 1) @randal_olson's foreword: unclear 2) my preface: possibly AI 3) paragraph from Ch1: likely AI
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David Nadeau retweeted
elvis
@omarsar0
27 Jan 2023
Open Problems in Applied Deep Learning If you're looking for interesting open problems in DL, this is a good reference. Not sure if intentional but it also looks useful to get a general picture of current trends in deep learning with ~300 references. arxiv.org/abs/2301.11316
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AI community: make sure to review the output of AI, generate alternate images, refine your prompt (else it's often creepy lol). MarketWatch: 'image of a bear in a house of mirrors' noice, publish.
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