Learning Transformer Programs with Dan Friedman - #667

Learning Transformer Programs with Dan Friedman - #667

Today, we continue our NeurIPS series with Dan Friedman, a PhD student in the Princeton NLP group. In our conversation, we explore his research on mechanistic interpretability for transformer models, specifically his paper, Learning Transformer Programs. The LTP paper proposes modifications to the transformer architecture which allow transformer models to be easily converted into human-readable programs, making them inherently interpretable. In our conversation, we compare the approach proposed by this research with prior approaches to understanding the models and their shortcomings. We also dig into the approach’s function and scale limitations and constraints. The complete show notes for this episode can be found at twimlai.com/go/667.

Jaksot(776)

Charles Isbell - Interactive AI, Plus Improving ML Education - TWiML Talk #4

Charles Isbell - Interactive AI, Plus Improving ML Education - TWiML Talk #4

My guest this time is Charles Isbell, Jr., Professor and Senior Associate Dean in the College of Computing at Georgia Institute of Technology. Charles and I go back a bit… in fact he’s the first AI researcher I ever met. His research focus is what he calls “interactive artificial intelligence,” a discipline of AI focused specifically on the interactions between AIs and humans. We explore what this means and some of the interesting research results in this field. One part of this discussion I found particularly interesting was the intersection between his AI research and marketing and behavioral economics. Beyond his research, Charles is well known in the ML and AI worlds for his popular Machine Learning course sequence on Udacity, which he teaches with Brown University professor Michael Littman, and for the Online Master’s of Science in Computer Science program that he helped launch at Georgia Tech. We also spend quite a bit of time talking about what’s really missing in machine learning education and how to make it more accessible. The notes for this show can be found at twimlai.com/talk/4.

10 Syys 20161h 4min

Xavier Amatriain - Engineering Practical Machine Learning Systems - TWiML Talk #3

Xavier Amatriain - Engineering Practical Machine Learning Systems - TWiML Talk #3

My guest this time is Xavier Amatriain. Xavier is a former researcher who went on to lead the machine learning recommendations team at Netflix, and is now the vice president of engineering at Quora, the Q&A site. We spend quite a bit of time digging into each of these experiences in the interview. Here are just a few of the things we cover in our discussion: Why Netflix invested $1 million in the Netflix Prize, but didn’t use the winning solution; What goes into engineering practical machine learning systems; The problem Xavier has with the deep learning hype; And, what the heck is a multi-arm bandit and how can it help us. The notes for this show can be found at https://twimlai.com/talk/3.

28 Elo 201656min

Siraj Raval - How to Build Confidence as an ML Developer - TWiML Talk #2

Siraj Raval - How to Build Confidence as an ML Developer - TWiML Talk #2

Siraj Raval is a machine learning hacker and teacher whose machine learning for hackers and fresh machine learning youtube series are fun, informative, high energy and practical ways to learn about a ton of machine learning and AI topics. I had a chance to catch up with Siraj in San Francisco recently, and we had a great discussion. Siraj has great advice on how to learn machine learning and build confidence as a machine learning developer, how to research and formulate projects, who to follow on Machine Learning twitter, and much more. The notes for this show can be found at https://twimlai.com/talk/2

21 Elo 201640min

This Week in ML & AI – 8/12/16: Another huge machine learning acquisition + AI in the Olympics

This Week in ML & AI – 8/12/16: Another huge machine learning acquisition + AI in the Olympics

This Week in Machine Learning & AI brings you the week’s most interesting and important stories from the world of machine learning and artificial intelligence. This week we discuss Intel’s latest deep learning acquisition, AI in the Olympics, and how you can win a free ticket to the O’Reilly AI Conference in New York City. Plus a bunch more on This Week in Machine Learning & AI. The notes for this show can be found at twimlai.com/13.

15 Elo 201623min

This Week in ML & AI – 8/5/16: Apple Acquires Turi, the DARPA Hacker-Bot Challenge and More

This Week in ML & AI – 8/5/16: Apple Acquires Turi, the DARPA Hacker-Bot Challenge and More

This Week in Machine Learning & AI brings you the week’s most interesting and important stories from the world of machine learning and artificial intelligence. This week we look at Apple’s acquisition of machine learning startup Turi, DARPA’s autonomous hacker-bot challenge, and Comma.ai’s autonomous driving dataset. Plus, of course, tons more. Show notes for this episode can be found at twimlai.com/12.

6 Elo 201624min

Clare Corthell - Open Source Data Science Masters, Hybrid AI, Algorithmic Ethics - TWiML Talk #1

Clare Corthell - Open Source Data Science Masters, Hybrid AI, Algorithmic Ethics - TWiML Talk #1

This Week in Machine Learning & AI brings you the week’s most interesting and important stories from the world of machine learning and artificial intelligence. We try something new this week with an interview of Clare Corthell, Founding Partner of Luminant Data, recorded live at the Wrangle Conference. We cover her background and what she’s been up to lately, the Open Source Data Science Masters project that she created, getting beyond the beginner’s plateau in machine learning and data science, hybrid AI, the top 3 lessons from her time as a consulting data scientist, and, a recurring topic both here on This Week in Machine Learning and AI and also at the conference: Algorithmic Ethics. The notes for this show can be found at https://twimlai.com/11.

31 Heinä 201647min

This Week in ML & AI - 7/22/16: ML to Optimize Datacenters, Crazy New GPU from NVIDIA, Faster RNNs

This Week in ML & AI - 7/22/16: ML to Optimize Datacenters, Crazy New GPU from NVIDIA, Faster RNNs

This Week in Machine Learning & AI brings you the week’s most interesting and important stories from the world of machine learning and artificial intelligence. This week covers Google’s use of ML to cut data center power consumption, NVIDIA new ‘crazy, reckless’ GPU, and a new Layer Normalization technique that promises to reduce the training time for deep neural networks. Plus, a bunch more. Show notes for this episode can be found at twimlai.com/10.

24 Heinä 201625min

This Week in ML & AI - 7/15/16: A Wingman AI for Pokémon Go and Wide & Deep Learning at Google

This Week in ML & AI - 7/15/16: A Wingman AI for Pokémon Go and Wide & Deep Learning at Google

This Week in Machine Learning & AI brings you the week’s most interesting and important stories from the world of machine learning and artificial intelligence. This week's show features a conversation about public datasets, an AI-powered Pokémon Go Wingman, a new deep learning app for your iPhone, Google research into Wide & Deep learning models, plus a whole lot more. Show notes for this episode can be found at twimlai.com/9.

17 Heinä 201630min

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