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<?xml version="1.0" encoding="utf-8" standalone="yes"?><rss version="2.0" xmlns:atom="http://www.w3.org/2005/Atom"><channel><title>artificial intelligence on Yanir Seroussi | Data & AI for Nature</title><link>https://yanirseroussi.com/tags/artificial-intelligence/</link><description>Recent content in artificial intelligence on Yanir Seroussi | Data & AI for Nature</description><generator>Hugo -- gohugo.io</generator><language>en-au</language><copyright>Text and figures licensed under [CC BY-NC-ND 4.0](https://creativecommons.org/licenses/by-nc-nd/4.0/) by [Yanir Seroussi](https://yanirseroussi.com/about/), except where noted otherwise</copyright><lastBuildDate>Fri, 06 Oct 2023 05:00:00 +0000</lastBuildDate><atom:link href="https://yanirseroussi.com/tags/artificial-intelligence/index.xml" rel="self" type="application/rss+xml"/><item><title>Artificial intelligence was a marketing term all along – just call it automation</title><link>https://yanirseroussi.com/til/2023/10/06/artificial-intelligence-was-a-marketing-term-all-along-just-call-it-automation/</link><pubDate>Fri, 06 Oct 2023 05:00:00 +0000</pubDate><guid>https://yanirseroussi.com/til/2023/10/06/artificial-intelligence-was-a-marketing-term-all-along-just-call-it-automation/</guid><description>Replacing &lsquo;artificial intelligence&rsquo; with &lsquo;automation&rsquo; is a useful trick for cutting through the hype.</description></item><item><title>Google's Rules of Machine Learning still apply in the age of large language models</title><link>https://yanirseroussi.com/til/2023/09/21/googles-rules-of-machine-learning-still-apply-in-the-age-of-large-language-models/</link><pubDate>Thu, 21 Sep 2023 21:30:00 +0000</pubDate><guid>https://yanirseroussi.com/til/2023/09/21/googles-rules-of-machine-learning-still-apply-in-the-age-of-large-language-models/</guid><description>Despite the excitement around large language models, building with machine learning remains an engineering problem with established best practices.</description></item><item><title>Was data science a failure mode of software engineering?</title><link>https://yanirseroussi.com/2023/06/30/was-data-science-a-failure-mode-of-software-engineering/</link><pubDate>Fri, 30 Jun 2023 00:06:30 +0000</pubDate><guid>https://yanirseroussi.com/2023/06/30/was-data-science-a-failure-mode-of-software-engineering/</guid><description>Yes, data science projects have suffered from classic software engineering mistakes, but the field is maturing with the rise of new engineering roles.</description></item><item><title>How hackable are automated coding assessments?</title><link>https://yanirseroussi.com/2023/05/26/how-hackable-are-automated-coding-assessments/</link><pubDate>Fri, 26 May 2023 00:03:00 +0000</pubDate><guid>https://yanirseroussi.com/2023/05/26/how-hackable-are-automated-coding-assessments/</guid><description>Exploring the hackability of speed-based coding tests, using CodeSignal&rsquo;s Industry Coding Framework as a case study.</description></item><item><title>Remaining relevant as a small language model</title><link>https://yanirseroussi.com/2023/04/21/remaining-relevant-as-a-small-language-model/</link><pubDate>Fri, 21 Apr 2023 00:06:30 +0000</pubDate><guid>https://yanirseroussi.com/2023/04/21/remaining-relevant-as-a-small-language-model/</guid><description>Bing Chat recently quipped that humans are small language models. 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<?xml version="1.0" encoding="utf-8" standalone="yes"?><rss version="2.0" xmlns:atom="http://www.w3.org/2005/Atom"><channel><title>artificial intelligence on Yanir Seroussi | Data & AI for Nature</title><link>https://yanirseroussi.com/tags/artificial-intelligence/</link><description>Recent content in artificial intelligence on Yanir Seroussi | Data & AI for Nature</description><generator>Hugo -- gohugo.io</generator><language>en-au</language><copyright>Text and figures licensed under [CC BY-NC-ND 4.0](https://creativecommons.org/licenses/by-nc-nd/4.0/) by [Yanir Seroussi](https://yanirseroussi.com/about/), except where noted otherwise</copyright><lastBuildDate>Thu, 18 Jan 2024 00:00:00 +0000</lastBuildDate><atom:link href="https://yanirseroussi.com/tags/artificial-intelligence/index.xml" rel="self" type="application/rss+xml"/><item><title>New decade, new tagline: Data & AI for Nature</title><link>https://yanirseroussi.com/2024/01/19/new-decade-new-tagline-data-and-ai-for-nature/</link><pubDate>Thu, 18 Jan 2024 00:00:00 +0000</pubDate><guid>https://yanirseroussi.com/2024/01/19/new-decade-new-tagline-data-and-ai-for-nature/</guid><description>Shifting focus to &lsquo;Data &amp; AI for Nature&rsquo;, with more nature-positive content, increased posting frequency, and deeper audience engagement.</description></item><item><title>Artificial intelligence was a marketing term all along – just call it automation</title><link>https://yanirseroussi.com/til/2023/10/06/artificial-intelligence-was-a-marketing-term-all-along-just-call-it-automation/</link><pubDate>Fri, 06 Oct 2023 05:00:00 +0000</pubDate><guid>https://yanirseroussi.com/til/2023/10/06/artificial-intelligence-was-a-marketing-term-all-along-just-call-it-automation/</guid><description>Replacing &lsquo;artificial intelligence&rsquo; with &lsquo;automation&rsquo; is a useful trick for cutting through the hype.</description></item><item><title>Google's Rules of Machine Learning still apply in the age of large language models</title><link>https://yanirseroussi.com/til/2023/09/21/googles-rules-of-machine-learning-still-apply-in-the-age-of-large-language-models/</link><pubDate>Thu, 21 Sep 2023 21:30:00 +0000</pubDate><guid>https://yanirseroussi.com/til/2023/09/21/googles-rules-of-machine-learning-still-apply-in-the-age-of-large-language-models/</guid><description>Despite the excitement around large language models, building with machine learning remains an engineering problem with established best practices.</description></item><item><title>Was data science a failure mode of software engineering?</title><link>https://yanirseroussi.com/2023/06/30/was-data-science-a-failure-mode-of-software-engineering/</link><pubDate>Fri, 30 Jun 2023 00:06:30 +0000</pubDate><guid>https://yanirseroussi.com/2023/06/30/was-data-science-a-failure-mode-of-software-engineering/</guid><description>Yes, data science projects have suffered from classic software engineering mistakes, but the field is maturing with the rise of new engineering roles.</description></item><item><title>How hackable are automated coding assessments?</title><link>https://yanirseroussi.com/2023/05/26/how-hackable-are-automated-coding-assessments/</link><pubDate>Fri, 26 May 2023 00:03:00 +0000</pubDate><guid>https://yanirseroussi.com/2023/05/26/how-hackable-are-automated-coding-assessments/</guid><description>Exploring the hackability of speed-based coding tests, using CodeSignal&rsquo;s Industry Coding Framework as a case study.</description></item><item><title>Remaining relevant as a small language model</title><link>https://yanirseroussi.com/2023/04/21/remaining-relevant-as-a-small-language-model/</link><pubDate>Fri, 21 Apr 2023 00:06:30 +0000</pubDate><guid>https://yanirseroussi.com/2023/04/21/remaining-relevant-as-a-small-language-model/</guid><description>Bing Chat recently quipped that humans are small language models. Here are some of my thoughts on how we small language models can remain relevant (for now).</description></item><item><title>ChatGPT is transformative AI</title><link>https://yanirseroussi.com/2022/12/11/chatgpt-is-transformative-ai/</link><pubDate>Sun, 11 Dec 2022 00:00:00 +0000</pubDate><guid>https://yanirseroussi.com/2022/12/11/chatgpt-is-transformative-ai/</guid><description>My perspective after a week of using ChatGPT: This is a step change in finding distilled information, and it&rsquo;s only the beginning.</description></item><item><title>Causal Machine Learning is off to a good start, despite some issues</title><link>https://yanirseroussi.com/2022/09/12/causal-machine-learning-book-draft-review/</link><pubDate>Mon, 12 Sep 2022 02:45:00 +0000</pubDate><guid>https://yanirseroussi.com/2022/09/12/causal-machine-learning-book-draft-review/</guid><description>Reviewing the first three chapters of the book Causal Machine Learning by Robert Osazuwa Ness.</description></item><item><title>Building useful machine learning tools keeps getting easier: A fish ID case study</title><link>https://yanirseroussi.com/2022/03/20/building-useful-machine-learning-tools-keeps-getting-easier-a-fish-id-case-study/</link><pubDate>Sun, 20 Mar 2022 04:30:00 +0000</pubDate><guid>https://yanirseroussi.com/2022/03/20/building-useful-machine-learning-tools-keeps-getting-easier-a-fish-id-case-study/</guid><description>Lessons learned building a fish ID web app with fast.ai and Streamlit, in an attempt to reduce my fear of missing out on the latest deep learning developments.</description></item><item><title>Use your human brain to avoid artificial intelligence disasters</title><link>https://yanirseroussi.com/2021/11/22/use-your-human-brain-to-avoid-artificial-intelligence-disasters/</link><pubDate>Mon, 22 Nov 2021 03:45:00 +0000</pubDate><guid>https://yanirseroussi.com/2021/11/22/use-your-human-brain-to-avoid-artificial-intelligence-disasters/</guid><description>Overview of a talk I gave at a deep learning course, focusing on AI ethics as the need for humans to think on the context and consequences of applying AI.</description></item><item><title>Defining data science in 2018</title><link>https://yanirseroussi.com/2018/07/22/defining-data-science-in-2018/</link><pubDate>Sun, 22 Jul 2018 08:27:43 +0000</pubDate><guid>https://yanirseroussi.com/2018/07/22/defining-data-science-in-2018/</guid><description>Updating my definition of data science to match changes in the field. It is now broader than before, but its ultimate goal is still to support decisions.</description></item><item><title>My PhD work</title><link>https://yanirseroussi.com/phd-work/</link><pubDate>Mon, 30 Mar 2015 03:23:33 +0000</pubDate><guid>https://yanirseroussi.com/phd-work/</guid><description>An overview of my PhD in data science / artificial intelligence. Thesis title: Text Mining and Rating Prediction with Topical User Models.</description></item></channel></rss> |
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