"The future belongs to those who are ready to embrace the AI wave." – Anant Agarwal, founder of edX
AI
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ChatGPT won’t revolutionize programming as much as feared
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@mikeloukides on how things like ChatGPT will change programming, but not as much as we may think https://
oreilly.com/radar/fearing-
the-wrong-thing/
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AI-Generated Travel Guides Lack Quality, Grammar on Amazon
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'One, whose author is listed as Stuart Hartley, boasts, ungrammatically, that it is "Everything you Need to Know Before Plan a Trip to Paris." The book itself has no further information about the author or publisher. It also has no photographs or maps' https://
nytimes.com/2023/08/05/tra
vel/amazon-guidebooks-artificial-intelligence.html
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Office-to-Housing Conversions: Understanding Urban Real Estate Complexity
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yeah the Brookings piece is a thoughtful treatment of the topic. this article made me start to understand the complexity of the whole affair https://
nytimes.com/interactive/20
23/03/11/upshot/office-conversions.html
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LangSmith Integration: Upcoming Cookbooks and Resources
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We’re using langsmith! Will post some cookbooks for this soon
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Curiosity about empirical results in NeurIPS LLM efficiency challenge
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Oh yeah, that makes intuitive sense. I am just curious about how this works out empirically. (The NeurIPS LLM efficiency challenge permits encoder, encoder-decoder, and decoder LLMs, so will will probably have to wait until the leaderboard is finalized haha)
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Decoder-Only Architectures for Vision-Language Models
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That makes sense. But you could also use a decoder-only architecture (with embedded image tokens as part of the input, as in LLaMA-Adapter, for example). (* This uses an encoder for the tokens, but it's still a decoder-only architecture due to the lack of cross-attention)
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Initial AI Implementation: Data Collection and Open Source Competition
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The initial implementation is pretty basic. Part of this is also to see what types of questions people ask We’ll probably gather data, make some improvements, then open source the data plus eval and turn it into a little competition to improve
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Neural Networks with Gzip Compression for Language Models
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NN + Gzip because we got bored waiting https://
magazine.sebastianraschka.com/p/large-langua
ge-models-and-nearest
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Foundation math textbooks and advanced ML AI resources
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Depends on your background and interests. Math textbooks are usually a good foundation for most technical fields.
Shameless plug: if you are into ML and AI and want to pick up some more advanced concepts after an intro book, my ML Q & AI might be useful: