Matthew C. Higgs @TheLeanAcademic
Using data to craft the best whisky in the world Joined January 2017-
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Why is chatting to a PDF better than reading a PDF?
Something I was wondering…
Some remarkable points: 100% adoption of ChatGPT in the legal team. Integration into core processes like dose distribution. A ton of custom GPTs for specific work flows. Scaling up necessitates AI assistance in lieu of hiring 100.000 employees. youtu.be/t3UHnKLVS1M?si…
Also, all models are over-fitting?
I spent a bit of time using Udio, and it turns out a bunch of its output closely resembles copyrighted music. - Melodies & chords sometimes closely resemble famous songs - Some output closely resembles specific artists’ sound/style - I could generate copyrighted lyrics for most…
1. What are the ethical and societal implications of advanced AI assistants? What might change in a world with more agentic AI? Our new paper explores these questions: storage.googleapis.com/deepmind-media… It’s the result of a one year research collaboration involving 50+ researchers… a🧵
It’s happened. I just told someone they could Google/*Bing* it
Feeling like you’re learning feels better than learning?
Feeling like you’re learning feels better than learning?
Surely there’s a third option: high intelligence species prevent others…
Surely there’s a third option: high intelligence species prevent others…
Has anyone proposed an economic argument for why we don’t *need* gen-AI content? Like, av person can only consume X Per day and we already have 10x more than anyone can consume… Supply >>> demand => gen-AI not “innovation” (in terms of meeting unmet need)…
I struggle to keep up with human-generated music…
The bugs I encounter most with LLMs in production are related to data drift. This is acute for LLMs b/c of all the moving parts: prompts, RAG, functions, etc. There is a classic ML technique that works for detecting drift. I explain it in this post: hamel.dev/blog/posts/dri…
I’m genuinely surprised by this take. I assume anyone could beat anyone at anything (mental) given infinite time…
I’m genuinely surprised by this take. I assume anyone could beat anyone at anything (mental) given infinite time…
"Nobody else took what I was doing seriously, so nobody would want to work with me. I was thought to be a bit eccentric and maybe cranky" Peter Higgs, the physicist who discovered the theoretical mechanism explaining the origin of mass in the universe, has passed away today.
When people see the robot installation by country. They think it'll be easy for the US to reindustrialize, or for underdeveloped countries like India to industrialize and catchup Here are the reasons why, it's very difficult for both type of nations: 1/7🧵
Humans are multimodal… we’ve been “pre-trained” on so much sensory data, we can’t compare to something as “specialised” as an LLM
Humans are multimodal… we’ve been “pre-trained” on so much sensory data, we can’t compare to something as “specialised” as an LLM
🚨EXCELLENT AI PAPER ALERT: "Theory Is All You Need: AI, Human Cognition, and Decision Making" by @teppofelin & Matthias Holweg is all you need to read about AI today. Quotes: "The differences between human and machine learning—when it comes to language (as well as other…
Jude💚💙 @Judemccorry
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46K Followers 2K FollowingThe Data Lab @DataLabScotland
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722 Followers 588 Following Living in rural Wisconsin. Data governance guy. Lifetime Independent. Love birds, nature, hockey, cooking, single-malt Scotch, and my wife, not in that order.(((Ellen Friedman))) @Ellen_Friedman
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505K Followers 843 Following Official global account of Boston Consulting Group. Highlights of our work, initiatives, people, partnerships, and more. Also @BCGhenderson & @bcgx_How to be as "smart" as Auto-Regressive LLMs: - memorize lots of problem statements together with recipes on how to solve them. - to solve a new problem, retrieve the recipe whose problem statement superficially matches the new problem. - apply the recipe blindly and declare…
There’s an art to distilling these to the absolute minimal necessary text. The human brain can’t comprehend how stupid these things are without practice.
I believe that the most common enterprise AI applications today aren’t the ones that solve the most important problems or make the most money. The most common applications are the ones that are easiest to evaluate. 1. Recommender system: evaluated by increase in engagement or…
New work on LLM Control Theory! We frame LLMs as discrete dynamical systems and study prompting through the lens of reachability and controllability. We even proved some theorems!! Joint work my fellow EngSci 2T2 @witkowski_cam, Dr. @Sz_Looi, advised by Prof. Matt Thomson 🚀
Because AI is still only a pattern machine (an incredibly powerful one!). Here's how to see. Take a common trick question or puzzle, change it to not be a trick, ask GPT (here's Claude since I'm on Mobile, I use GPT4 by API and it does the exact same thing).
Twitter folks who agree with this claim that AI does not “reason”: what does this even mean? I’m befuddled
I’m excited to share that I’m working on a new book about building applications with foundation models! AI Engineering builds upon Machine Learning Systems Design, but with a focus on large scale, ready made models. The book covers: - The new AI stack (e.g. how it differs from…
This is the best tutorial I've seen for fully understanding and implementing Transformers models. It includes a complete working implementation from scratch of all the key pieces, written in a way to make learning and understanding as easy as possible.
I've written up my study group lectures on implementing Transformers in PyTorch into a blog series: Creating Transformers from Scratch: - Part 1: The Attention Mechanism benjaminwarner.dev/2023/07/01/att… - Part 2: The Rest of the Transformer benjaminwarner.dev/2023/07/28/res…
We started releasing the first chapters of our Geometric Deep Learning book and the accompanying slides from the corresponding Oxford and Cambridge courses.
After 3 years, it's time for us to start sharing the chapters of the GDL book! ❤️ Also included: companion slides from our @Cambridge_Uni & @UniofOxford courses 🧑🎓 Chapter 1 is out **now**! More to follow soon 🎉 geometricdeeplearning.com/book 📖 @mmbronstein @joanbruna @TacoCohen
1. What are the ethical and societal implications of advanced AI assistants? What might change in a world with more agentic AI? Our new paper explores these questions: storage.googleapis.com/deepmind-media… It’s the result of a one year research collaboration involving 50+ researchers… a🧵
Come join a fun event with me and @EkinKarabulut !
🍻 'MLOps to LLMOps: What do we keep, change or add?' with @ElectricWeegie 🍻 Today, Andy McMahon, head of MLOps at NatWest Group, and guest lecturer at Oxford University is joining us at Beers with Engineers. The core questions that we will discuss with Andy in this session…
The bugs I encounter most with LLMs in production are related to data drift. This is acute for LLMs b/c of all the moving parts: prompts, RAG, functions, etc. There is a classic ML technique that works for detecting drift. I explain it in this post: hamel.dev/blog/posts/dri…
After ~5yrs of work, @emmabluemke, Teddy Collins, @bmgarfinkel, @KEricDrexler, @ClaudiaGhezzou, @IasonGabriel, @AllanDafoe, @wsisaac, and I have published an updated paper. This work is co-authored by an extraordinary team I'm grateful to know, and I expect to work off this…
If you are using LLMs for summarizing long docs, you really should read this paper Over 50% of book summaries (incl by Claude Opus and GPT-4) were identified as containing factual errors and errors of omission Lesson: don't blindly assume AI summarization tools work. Test them.
"Talk to your documents" is a big use case for AI. This paper tested how good AI was at working with long, new books (like The Fourth Wing). Claude 3 does very well in SUMMARIZING big books. But none of the models do a good job FACT CHECKING claims about books made by others.
We'd like LLM outputs to be accompanied by confidence scores, indicating the confidence we should have in them. But what semantics should a confidence score have? A minimal condition is calibration: e.g. when we express 70% confidence, we should be correct 70% of the time. But...
"Nobody else took what I was doing seriously, so nobody would want to work with me. I was thought to be a bit eccentric and maybe cranky" Peter Higgs, the physicist who discovered the theoretical mechanism explaining the origin of mass in the universe, has passed away today.
It turns out the data bottleneck problem is more dire than initially thought: AI model performance - which can be largely attributed to the presence of test concepts within their vast pretraining datasets - increases linearly with exponentially more data. RIP: Scaling laws
A smart person plus me wrote a thing - “Bears, Bulls and Software Developers: The Future of Work for Techies” by Andy McMahon (Electric Weegie) medium.com/@andrewpmcmaho…
every time people say "are you optimistic or pessimistic about AI" what I hear is "do you gulp much of the AI hype and corporate PR unfiltered, or do you pause and ask critical questions" 🤷🏾♀️
Problems I'd do if I'm to do a startup again (though I probably won't any time soon because startups are hard). If you’re solving any of them, I’d love to chat. 1. Data synthesis: AI has become really good both at generating and annotating data. The challenge now is to make sure…
Little known OSS gem: the Open-source Cookbook A collection of notebooks for building practical AI applications using open-source tools and models: github.com/huggingface/co… Doc: huggingface.co/learn/cookbook… Currently contains 16 notebooks in English (with some in Chinese as well):…
A review in Nature, by @candice_odgers, asserts that I have mistaken correlation for causation and that “there is no evidence that using these platforms is rewiring children’s brains or driving an epidemic of mental illness.” Both of these assertions are untrue.…