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Mx Verda<p>ok, tbh, AI language practice does actually sound like one good use of it. <a href="https://languatalk.com/try-langua#pricing" rel="nofollow noopener noreferrer" translate="no" target="_blank"><span class="invisible">https://</span><span class="ellipsis">languatalk.com/try-langua#pric</span><span class="invisible">ing</span></a> <br>No deep understanding or nuance, plus stilted phrasing... but basic errors should be fine, like me forgetting to add が everywhere.</p><p>Huge wastage though! AI / LLM / Machine Learning services are massive carbon sources. <br>Especially with data centers in drought-prone areas, even a good use is still bad. <br>Hot areas cannot sustain AI: Computer calculations produce heat, which radiates away more slowly into already hot air. </p><p>Cooling AI data centers drains water -- especially potable / human-safe sources. <br>Reservoirs and water tables drop even faster than they would from extras in other human usage, evaporation due to global warming, and whatever third thing probably also happens. <br>Idk, I'm not a climate scientist. I just have climate grief.</p><p><a href="https://lgbtqia.space/tags/AI" class="mention hashtag" rel="nofollow noopener noreferrer" target="_blank">#<span>AI</span></a> <a href="https://lgbtqia.space/tags/LLM" class="mention hashtag" rel="nofollow noopener noreferrer" target="_blank">#<span>LLM</span></a> <a href="https://lgbtqia.space/tags/MachineLearning" class="mention hashtag" rel="nofollow noopener noreferrer" target="_blank">#<span>MachineLearning</span></a> <a href="https://lgbtqia.space/tags/DeepLearning" class="mention hashtag" rel="nofollow noopener noreferrer" target="_blank">#<span>DeepLearning</span></a> <a href="https://lgbtqia.space/tags/Climate" class="mention hashtag" rel="nofollow noopener noreferrer" target="_blank">#<span>Climate</span></a> <a href="https://lgbtqia.space/tags/ClimateDiary" class="mention hashtag" rel="nofollow noopener noreferrer" target="_blank">#<span>ClimateDiary</span></a> <a href="https://lgbtqia.space/tags/CitizensClimateLobby" class="mention hashtag" rel="nofollow noopener noreferrer" target="_blank">#<span>CitizensClimateLobby</span></a> <a href="https://lgbtqia.space/tags/CitizensClimateInternational" class="mention hashtag" rel="nofollow noopener noreferrer" target="_blank">#<span>CitizensClimateInternational</span></a></p>
Leanpub<p>A Hands-On Guide to Fine-Tuning Large Language Models with PyTorch and Hugging Face by Daniel Voigt Godoy is on sale on Leanpub! Its suggested price is $27.95; get it for $15.96 with this coupon: <a href="https://leanpub.com/sh/FmKmGIa0" rel="nofollow noopener noreferrer" translate="no" target="_blank"><span class="invisible">https://</span><span class="">leanpub.com/sh/FmKmGIa0</span><span class="invisible"></span></a> <a href="https://mastodon.social/tags/Ai" class="mention hashtag" rel="nofollow noopener noreferrer" target="_blank">#<span>Ai</span></a> <a href="https://mastodon.social/tags/MachineLearning" class="mention hashtag" rel="nofollow noopener noreferrer" target="_blank">#<span>MachineLearning</span></a> <a href="https://mastodon.social/tags/DeepLearning" class="mention hashtag" rel="nofollow noopener noreferrer" target="_blank">#<span>DeepLearning</span></a> <a href="https://mastodon.social/tags/NeuralNetworks" class="mention hashtag" rel="nofollow noopener noreferrer" target="_blank">#<span>NeuralNetworks</span></a></p>
PPC Land<p>ICYMI: Amazon expands access to Nova AI models with new developer portal: New platform grants wider access to foundation models for text, image, and video generation. <a href="https://ppc.land/amazon-expands-access-to-nova-ai-models-with-new-developer-portal/" rel="nofollow noopener noreferrer" translate="no" target="_blank"><span class="invisible">https://</span><span class="ellipsis">ppc.land/amazon-expands-access</span><span class="invisible">-to-nova-ai-models-with-new-developer-portal/</span></a> <a href="https://mastodon.social/tags/Amazon" class="mention hashtag" rel="nofollow noopener noreferrer" target="_blank">#<span>Amazon</span></a> <a href="https://mastodon.social/tags/NovaAI" class="mention hashtag" rel="nofollow noopener noreferrer" target="_blank">#<span>NovaAI</span></a> <a href="https://mastodon.social/tags/AIDevelopment" class="mention hashtag" rel="nofollow noopener noreferrer" target="_blank">#<span>AIDevelopment</span></a> <a href="https://mastodon.social/tags/MachineLearning" class="mention hashtag" rel="nofollow noopener noreferrer" target="_blank">#<span>MachineLearning</span></a> <a href="https://mastodon.social/tags/DeepLearning" class="mention hashtag" rel="nofollow noopener noreferrer" target="_blank">#<span>DeepLearning</span></a></p>
Jakub Nowosad<p>🚀 Last week, we hosted "Advances in Spatial Machine Learning 2025", a two-day workshop tackling open challenges in the field. </p><p>From validation to uncertainty analysis, we explored key topics with top researchers. </p><p>Now, we're working on synthesizing outcomes—stay tuned! </p><p><a href="https://fosstodon.org/tags/SpatialML" class="mention hashtag" rel="nofollow noopener noreferrer" target="_blank">#<span>SpatialML</span></a> <a href="https://fosstodon.org/tags/MachineLearning" class="mention hashtag" rel="nofollow noopener noreferrer" target="_blank">#<span>MachineLearning</span></a> <a href="https://fosstodon.org/tags/Geospatial" class="mention hashtag" rel="nofollow noopener noreferrer" target="_blank">#<span>Geospatial</span></a> <a href="https://fosstodon.org/tags/DataScience" class="mention hashtag" rel="nofollow noopener noreferrer" target="_blank">#<span>DataScience</span></a> <a href="https://fosstodon.org/tags/DeepLearning" class="mention hashtag" rel="nofollow noopener noreferrer" target="_blank">#<span>DeepLearning</span></a> <a href="https://fosstodon.org/tags/GISchat" class="mention hashtag" rel="nofollow noopener noreferrer" target="_blank">#<span>GISchat</span></a></p>
DSLC Videos<p>Recent <span class="h-card" translate="no"><a href="https://fosstodon.org/@DSLC" class="u-url mention" rel="nofollow noopener noreferrer" target="_blank">@<span>DSLC</span></a></span> club meetings:</p><p>:python: An Introduction to Statistical Learning with Applications in Python: Linear Regression <a href="https://youtu.be/hFfWajZmGio" rel="nofollow noopener noreferrer" translate="no" target="_blank"><span class="invisible">https://</span><span class="">youtu.be/hFfWajZmGio</span><span class="invisible"></span></a> <a href="https://fosstodon.org/tags/PyData" class="mention hashtag" rel="nofollow noopener noreferrer" target="_blank">#<span>PyData</span></a> <a href="https://fosstodon.org/tags/DeepLearning" class="mention hashtag" rel="nofollow noopener noreferrer" target="_blank">#<span>DeepLearning</span></a> <a href="https://fosstodon.org/tags/AI" class="mention hashtag" rel="nofollow noopener noreferrer" target="_blank">#<span>AI</span></a></p><p>From the <span class="h-card" translate="no"><a href="https://fosstodon.org/@DSLC" class="u-url mention" rel="nofollow noopener noreferrer" target="_blank">@<span>DSLC</span></a></span> :rstats:​chives:</p><p>:rstats: "Tidy Modeling with R: Iterative Search" <a href="https://youtu.be/B2RRopTnwds" rel="nofollow noopener noreferrer" translate="no" target="_blank"><span class="invisible">https://</span><span class="">youtu.be/B2RRopTnwds</span><span class="invisible"></span></a> <a href="https://fosstodon.org/tags/RStats" class="mention hashtag" rel="nofollow noopener noreferrer" target="_blank">#<span>RStats</span></a></p><p>:rstats: "Statistical Rethinking:" <a href="https://youtu.be/pubuTNE1uiQ" rel="nofollow noopener noreferrer" translate="no" target="_blank"><span class="invisible">https://</span><span class="">youtu.be/pubuTNE1uiQ</span><span class="invisible"></span></a> <a href="https://fosstodon.org/tags/RStats" class="mention hashtag" rel="nofollow noopener noreferrer" target="_blank">#<span>RStats</span></a></p><p>Visit <a href="https://dslc.video" rel="nofollow noopener noreferrer" translate="no" target="_blank"><span class="invisible">https://</span><span class="">dslc.video</span><span class="invisible"></span></a> for hours of new <a href="https://fosstodon.org/tags/DataScience" class="mention hashtag" rel="nofollow noopener noreferrer" target="_blank">#<span>DataScience</span></a> videos every week!</p>
Hacker News<p>Multi-Token Attention</p><p><a href="https://arxiv.org/abs/2504.00927" rel="nofollow noopener noreferrer" translate="no" target="_blank"><span class="invisible">https://</span><span class="">arxiv.org/abs/2504.00927</span><span class="invisible"></span></a></p><p><a href="https://mastodon.social/tags/HackerNews" class="mention hashtag" rel="nofollow noopener noreferrer" target="_blank">#<span>HackerNews</span></a> <a href="https://mastodon.social/tags/Multi" class="mention hashtag" rel="nofollow noopener noreferrer" target="_blank">#<span>Multi</span></a>-Token <a href="https://mastodon.social/tags/Attention" class="mention hashtag" rel="nofollow noopener noreferrer" target="_blank">#<span>Attention</span></a> <a href="https://mastodon.social/tags/research" class="mention hashtag" rel="nofollow noopener noreferrer" target="_blank">#<span>research</span></a> <a href="https://mastodon.social/tags/AI" class="mention hashtag" rel="nofollow noopener noreferrer" target="_blank">#<span>AI</span></a> <a href="https://mastodon.social/tags/advancements" class="mention hashtag" rel="nofollow noopener noreferrer" target="_blank">#<span>advancements</span></a> <a href="https://mastodon.social/tags/attentionmechanism" class="mention hashtag" rel="nofollow noopener noreferrer" target="_blank">#<span>attentionmechanism</span></a> <a href="https://mastodon.social/tags/deeplearning" class="mention hashtag" rel="nofollow noopener noreferrer" target="_blank">#<span>deeplearning</span></a> <a href="https://mastodon.social/tags/NLP" class="mention hashtag" rel="nofollow noopener noreferrer" target="_blank">#<span>NLP</span></a></p>
Leanpub<p>Super Study Guide: Transformers &amp; Large Language Models <a href="https://leanpub.com/transformers-large-language-models" rel="nofollow noopener noreferrer" translate="no" target="_blank"><span class="invisible">https://</span><span class="ellipsis">leanpub.com/transformers-large</span><span class="invisible">-language-models</span></a> by Afshine Amidi and Shervine Amidi is the featured book on the Leanpub homepage! <a href="https://leanpub.com" rel="nofollow noopener noreferrer" translate="no" target="_blank"><span class="invisible">https://</span><span class="">leanpub.com</span><span class="invisible"></span></a> <a href="https://mastodon.social/tags/ai" class="mention hashtag" rel="nofollow noopener noreferrer" target="_blank">#<span>ai</span></a> <a href="https://mastodon.social/tags/MachineLearning" class="mention hashtag" rel="nofollow noopener noreferrer" target="_blank">#<span>MachineLearning</span></a> <a href="https://mastodon.social/tags/DeepLearning" class="mention hashtag" rel="nofollow noopener noreferrer" target="_blank">#<span>DeepLearning</span></a> <a href="https://mastodon.social/tags/NeuralNetworks" class="mention hashtag" rel="nofollow noopener noreferrer" target="_blank">#<span>NeuralNetworks</span></a> <a href="https://mastodon.social/tags/books" class="mention hashtag" rel="nofollow noopener noreferrer" target="_blank">#<span>books</span></a> <a href="https://mastodon.social/tags/ebooks" class="mention hashtag" rel="nofollow noopener noreferrer" target="_blank">#<span>ebooks</span></a></p><p>A clear, illustrated guide to large language models, covering key concepts and practical applications. Ideal for projects, interviews, or personal learning. </p><p>Find it on Leanpub!</p>
Wasabi the Black Cat 😼<p><a href="https://universeodon.com/tags/ai" class="mention hashtag" rel="nofollow noopener noreferrer" target="_blank">#<span>ai</span></a> <a href="https://universeodon.com/tags/openai" class="mention hashtag" rel="nofollow noopener noreferrer" target="_blank">#<span>openai</span></a> <a href="https://universeodon.com/tags/AiResearch" class="mention hashtag" rel="nofollow noopener noreferrer" target="_blank">#<span>AiResearch</span></a> <a href="https://universeodon.com/tags/intelligence" class="mention hashtag" rel="nofollow noopener noreferrer" target="_blank">#<span>intelligence</span></a> <a href="https://universeodon.com/tags/computing" class="mention hashtag" rel="nofollow noopener noreferrer" target="_blank">#<span>computing</span></a> <a href="https://universeodon.com/tags/ArtificialGeneralIntelligence" class="mention hashtag" rel="nofollow noopener noreferrer" target="_blank">#<span>ArtificialGeneralIntelligence</span></a> <a href="https://universeodon.com/tags/innovation" class="mention hashtag" rel="nofollow noopener noreferrer" target="_blank">#<span>innovation</span></a> <a href="https://universeodon.com/tags/deeplearning" class="mention hashtag" rel="nofollow noopener noreferrer" target="_blank">#<span>deeplearning</span></a> <a href="https://universeodon.com/tags/programming" class="mention hashtag" rel="nofollow noopener noreferrer" target="_blank">#<span>programming</span></a> <a href="https://universeodon.com/tags/stablediffusion" class="mention hashtag" rel="nofollow noopener noreferrer" target="_blank">#<span>stablediffusion</span></a> <a href="https://universeodon.com/tags/VarunDhawan" class="mention hashtag" rel="nofollow noopener noreferrer" target="_blank">#<span>VarunDhawan</span></a></p>
Nate Gaylinn<p>AI is a hot topic these days, but what does that word even mean? Originally it was about our quest to understand our own minds, but it has come to refer to one technology: deep learning. We often talk about AI as if it were just a human mind in a box, but the reality is quite different, in nuanced ways that AI companies play down. In this month's blog post, I explore how AI relates to human intelligence, what it reproduces, and what it doesn't.</p><p><a href="https://thinkingwithnate.wordpress.com/2025/04/02/how-is-ai-like-human-intelligence/" rel="nofollow noopener noreferrer" translate="no" target="_blank"><span class="invisible">https://</span><span class="ellipsis">thinkingwithnate.wordpress.com</span><span class="invisible">/2025/04/02/how-is-ai-like-human-intelligence/</span></a></p><p><a href="https://tech.lgbt/tags/ai" class="mention hashtag" rel="nofollow noopener noreferrer" target="_blank">#<span>ai</span></a> <a href="https://tech.lgbt/tags/dl" class="mention hashtag" rel="nofollow noopener noreferrer" target="_blank">#<span>dl</span></a> <a href="https://tech.lgbt/tags/deeplearning" class="mention hashtag" rel="nofollow noopener noreferrer" target="_blank">#<span>deeplearning</span></a> <a href="https://tech.lgbt/tags/science" class="mention hashtag" rel="nofollow noopener noreferrer" target="_blank">#<span>science</span></a> <a href="https://tech.lgbt/tags/intelligence" class="mention hashtag" rel="nofollow noopener noreferrer" target="_blank">#<span>intelligence</span></a></p>
Habr<p>Что вам нужно знать, если вы решили внедрить LLM</p><p>Вокруг LLM очень много мистификации. Мол, только особенные люди после специального образования, где их учили мудрые наставники, могут освоить таинство работы с LLM. Я уверен, что это не так. У меня была мечта написать небольшой гайд, с помощью которого любой сильный духом сможет разобраться, как эти LLM нужно использовать в своем продукте. Эта статья - воплощения моей мечты. В одном исследовании утверждается, что 80% всех ИИ проектов проваливаются. Сам не считал, но думаю, что порядок примерно такой. Давайте вместе попробуем это исправить. Разобраться с LLM</p><p><a href="https://habr.com/ru/articles/896598/" rel="nofollow noopener noreferrer" translate="no" target="_blank"><span class="invisible">https://</span><span class="">habr.com/ru/articles/896598/</span><span class="invisible"></span></a></p><p><a href="https://zhub.link/tags/llm" class="mention hashtag" rel="nofollow noopener noreferrer" target="_blank">#<span>llm</span></a> <a href="https://zhub.link/tags/%D0%BD%D0%B5%D0%B9%D1%80%D0%BE%D1%81%D0%B5%D1%82%D0%B8" class="mention hashtag" rel="nofollow noopener noreferrer" target="_blank">#<span>нейросети</span></a> <a href="https://zhub.link/tags/%D0%B8%D1%81%D0%BA%D1%83%D1%81%D1%81%D1%82%D0%B2%D0%B5%D0%BD%D0%BD%D1%8B%D0%B9_%D0%B8%D0%BD%D1%82%D0%B5%D0%BB%D0%BB%D0%B5%D0%BA%D1%82" class="mention hashtag" rel="nofollow noopener noreferrer" target="_blank">#<span>искусственный_интеллект</span></a> <a href="https://zhub.link/tags/artificial_intelligence" class="mention hashtag" rel="nofollow noopener noreferrer" target="_blank">#<span>artificial_intelligence</span></a> <a href="https://zhub.link/tags/%D0%B2%D0%BD%D0%B5%D0%B4%D1%80%D0%B5%D0%BD%D0%B8%D0%B5_%D0%B8%D0%B8" class="mention hashtag" rel="nofollow noopener noreferrer" target="_blank">#<span>внедрение_ии</span></a> <a href="https://zhub.link/tags/large_language_models" class="mention hashtag" rel="nofollow noopener noreferrer" target="_blank">#<span>large_language_models</span></a> <a href="https://zhub.link/tags/deeplearning" class="mention hashtag" rel="nofollow noopener noreferrer" target="_blank">#<span>deeplearning</span></a> <a href="https://zhub.link/tags/%D0%B3%D0%BB%D1%83%D0%B1%D0%BE%D0%BA%D0%BE%D0%B5_%D0%BE%D0%B1%D1%83%D1%87%D0%B5%D0%BD%D0%B8%D0%B5" class="mention hashtag" rel="nofollow noopener noreferrer" target="_blank">#<span>глубокое_обучение</span></a> <a href="https://zhub.link/tags/%D0%BC%D0%B0%D1%88%D0%B8%D0%BD%D0%BD%D0%BE%D0%B5_%D0%BE%D0%B1%D1%83%D1%87%D0%B5%D0%BD%D0%B8%D0%B5" class="mention hashtag" rel="nofollow noopener noreferrer" target="_blank">#<span>машинное_обучение</span></a></p>
Leanpub<p>The Hundred-Page Language Models Book by Andriy Burkov is on sale on Leanpub! Its suggested price is $50.00; get it for $20.00 with this coupon: <a href="https://leanpub.com/sh/iJMtu0nu" rel="nofollow noopener noreferrer" translate="no" target="_blank"><span class="invisible">https://</span><span class="">leanpub.com/sh/iJMtu0nu</span><span class="invisible"></span></a> <a href="https://mastodon.social/tags/Ai" class="mention hashtag" rel="nofollow noopener noreferrer" target="_blank">#<span>Ai</span></a> <a href="https://mastodon.social/tags/Gpt" class="mention hashtag" rel="nofollow noopener noreferrer" target="_blank">#<span>Gpt</span></a> <a href="https://mastodon.social/tags/NeuralNetworks" class="mention hashtag" rel="nofollow noopener noreferrer" target="_blank">#<span>NeuralNetworks</span></a> <a href="https://mastodon.social/tags/DeepLearning" class="mention hashtag" rel="nofollow noopener noreferrer" target="_blank">#<span>DeepLearning</span></a> <a href="https://mastodon.social/tags/DataScience" class="mention hashtag" rel="nofollow noopener noreferrer" target="_blank">#<span>DataScience</span></a> <a href="https://mastodon.social/tags/ComputerScience" class="mention hashtag" rel="nofollow noopener noreferrer" target="_blank">#<span>ComputerScience</span></a> <a href="https://mastodon.social/tags/Linguistics" class="mention hashtag" rel="nofollow noopener noreferrer" target="_blank">#<span>Linguistics</span></a></p>
Leanpub<p>A Hands-On Guide to Fine-Tuning Large Language Models with PyTorch and Hugging Face <a href="https://leanpub.com/finetuning" rel="nofollow noopener noreferrer" translate="no" target="_blank"><span class="invisible">https://</span><span class="">leanpub.com/finetuning</span><span class="invisible"></span></a> by Daniel Voigt Godoy is the featured book on the Leanpub homepage! <a href="https://leanpub.com" rel="nofollow noopener noreferrer" translate="no" target="_blank"><span class="invisible">https://</span><span class="">leanpub.com</span><span class="invisible"></span></a> <a href="https://mastodon.social/tags/ai" class="mention hashtag" rel="nofollow noopener noreferrer" target="_blank">#<span>ai</span></a> <a href="https://mastodon.social/tags/MachineLearning" class="mention hashtag" rel="nofollow noopener noreferrer" target="_blank">#<span>MachineLearning</span></a> <a href="https://mastodon.social/tags/DeepLearning" class="mention hashtag" rel="nofollow noopener noreferrer" target="_blank">#<span>DeepLearning</span></a> <a href="https://mastodon.social/tags/NeuralNetworks" class="mention hashtag" rel="nofollow noopener noreferrer" target="_blank">#<span>NeuralNetworks</span></a> <a href="https://mastodon.social/tags/gpt" class="mention hashtag" rel="nofollow noopener noreferrer" target="_blank">#<span>gpt</span></a> <a href="https://mastodon.social/tags/books" class="mention hashtag" rel="nofollow noopener noreferrer" target="_blank">#<span>books</span></a> <a href="https://mastodon.social/tags/ebooks" class="mention hashtag" rel="nofollow noopener noreferrer" target="_blank">#<span>ebooks</span></a></p><p>A practical guide to fine-tuning Large Language Models (LLMs), offering both a high-level overview and detailed instructions on how to train these models for specific tasks. </p><p>Find it on Leanpub!</p>
HGPU group<p>TileLink: Generating Efficient Compute-Communication Overlapping Kernels using Tile-Centric Primitives</p><p><a href="https://mast.hpc.social/tags/CUDA" class="mention hashtag" rel="nofollow noopener noreferrer" target="_blank">#<span>CUDA</span></a> <a href="https://mast.hpc.social/tags/PTX" class="mention hashtag" rel="nofollow noopener noreferrer" target="_blank">#<span>PTX</span></a> <a href="https://mast.hpc.social/tags/Triton" class="mention hashtag" rel="nofollow noopener noreferrer" target="_blank">#<span>Triton</span></a> <a href="https://mast.hpc.social/tags/LLM" class="mention hashtag" rel="nofollow noopener noreferrer" target="_blank">#<span>LLM</span></a> <a href="https://mast.hpc.social/tags/DeepLearning" class="mention hashtag" rel="nofollow noopener noreferrer" target="_blank">#<span>DeepLearning</span></a> <a href="https://mast.hpc.social/tags/DL" class="mention hashtag" rel="nofollow noopener noreferrer" target="_blank">#<span>DL</span></a></p><p><a href="https://hgpu.org/?p=29841" rel="nofollow noopener noreferrer" translate="no" target="_blank"><span class="invisible">https://</span><span class="">hgpu.org/?p=29841</span><span class="invisible"></span></a></p>
Philo Sophies<p><a href="https://planetearth.social/tags/Zoomposium" class="mention hashtag" rel="nofollow noopener noreferrer" target="_blank">#<span>Zoomposium</span></a> with Dr. <a href="https://planetearth.social/tags/Patrick" class="mention hashtag" rel="nofollow noopener noreferrer" target="_blank">#<span>Patrick</span></a> <a href="https://planetearth.social/tags/Krau%C3%9F" class="mention hashtag" rel="nofollow noopener noreferrer" target="_blank">#<span>Krauß</span></a>: Building instructions for <a href="https://planetearth.social/tags/artificial" class="mention hashtag" rel="nofollow noopener noreferrer" target="_blank">#<span>artificial</span></a> <a href="https://planetearth.social/tags/consciousness" class="mention hashtag" rel="nofollow noopener noreferrer" target="_blank">#<span>consciousness</span></a></p><p>Transferring the various stages of <a href="https://planetearth.social/tags/Damasio" class="mention hashtag" rel="nofollow noopener noreferrer" target="_blank">#<span>Damasio</span></a>'s <a href="https://planetearth.social/tags/theory" class="mention hashtag" rel="nofollow noopener noreferrer" target="_blank">#<span>theory</span></a> of consciousness 1:1 into concrete <a href="https://planetearth.social/tags/schematics" class="mention hashtag" rel="nofollow noopener noreferrer" target="_blank">#<span>schematics</span></a> for <a href="https://planetearth.social/tags/deeplearning" class="mention hashtag" rel="nofollow noopener noreferrer" target="_blank">#<span>deeplearning</span></a>. To this end, strategies such as <a href="https://planetearth.social/tags/feedforward" class="mention hashtag" rel="nofollow noopener noreferrer" target="_blank">#<span>feedforward</span></a> connections, <a href="https://planetearth.social/tags/recurrent" class="mention hashtag" rel="nofollow noopener noreferrer" target="_blank">#<span>recurrent</span></a> <a href="https://planetearth.social/tags/connections" class="mention hashtag" rel="nofollow noopener noreferrer" target="_blank">#<span>connections</span></a> in the form of <a href="https://planetearth.social/tags/reinforcement" class="mention hashtag" rel="nofollow noopener noreferrer" target="_blank">#<span>reinforcement</span></a> learning and <a href="https://planetearth.social/tags/unsupervised" class="mention hashtag" rel="nofollow noopener noreferrer" target="_blank">#<span>unsupervised</span></a> <a href="https://planetearth.social/tags/learning" class="mention hashtag" rel="nofollow noopener noreferrer" target="_blank">#<span>learning</span></a> are used to simulate the <a href="https://planetearth.social/tags/biological" class="mention hashtag" rel="nofollow noopener noreferrer" target="_blank">#<span>biological</span></a> <a href="https://planetearth.social/tags/processes" class="mention hashtag" rel="nofollow noopener noreferrer" target="_blank">#<span>processes</span></a> of the <a href="https://planetearth.social/tags/neuronal" class="mention hashtag" rel="nofollow noopener noreferrer" target="_blank">#<span>neuronal</span></a> <a href="https://planetearth.social/tags/networks" class="mention hashtag" rel="nofollow noopener noreferrer" target="_blank">#<span>networks</span></a>. </p><p>More at: <a href="https://philosophies.de/index.php/2023/10/24/bauanleitung-kuenstliches-bewusstsein/" rel="nofollow noopener noreferrer" translate="no" target="_blank"><span class="invisible">https://</span><span class="ellipsis">philosophies.de/index.php/2023</span><span class="invisible">/10/24/bauanleitung-kuenstliches-bewusstsein/</span></a></p><p>or: <a href="https://youtu.be/rXamzyoggCo" rel="nofollow noopener noreferrer" translate="no" target="_blank"><span class="invisible">https://</span><span class="">youtu.be/rXamzyoggCo</span><span class="invisible"></span></a></p>
Hacker News<p>The Matrix Calculus You Need for Deep Learning</p><p><a href="https://explained.ai/matrix-calculus/" rel="nofollow noopener noreferrer" translate="no" target="_blank"><span class="invisible">https://</span><span class="">explained.ai/matrix-calculus/</span><span class="invisible"></span></a></p><p><a href="https://mastodon.social/tags/HackerNews" class="mention hashtag" rel="nofollow noopener noreferrer" target="_blank">#<span>HackerNews</span></a> <a href="https://mastodon.social/tags/MatrixCalculus" class="mention hashtag" rel="nofollow noopener noreferrer" target="_blank">#<span>MatrixCalculus</span></a> <a href="https://mastodon.social/tags/DeepLearning" class="mention hashtag" rel="nofollow noopener noreferrer" target="_blank">#<span>DeepLearning</span></a> <a href="https://mastodon.social/tags/AI" class="mention hashtag" rel="nofollow noopener noreferrer" target="_blank">#<span>AI</span></a> <a href="https://mastodon.social/tags/Math" class="mention hashtag" rel="nofollow noopener noreferrer" target="_blank">#<span>Math</span></a> <a href="https://mastodon.social/tags/Education" class="mention hashtag" rel="nofollow noopener noreferrer" target="_blank">#<span>Education</span></a></p>
(((@amarois)))<p>[Veille] Les consortiums <span class="h-card" translate="no"><a href="https://mastodon.huma-num.fr/@HumaNum" class="u-url mention" rel="nofollow noopener noreferrer" target="_blank">@<span>HumaNum</span></a></span> PictorIA et MASAplus, le GT DoReMITI du <span class="h-card" translate="no"><a href="https://social.numerique.gouv.fr/@cnrs" class="u-url mention" rel="nofollow noopener noreferrer" target="_blank">@<span>cnrs</span></a></span> organisent 2 journées sur la thématique :<br>"Images et IA : faire dialoguer les communautés" <a href="https://imagia2025.sciencesconf.org" rel="nofollow noopener noreferrer" translate="no" target="_blank"><span class="invisible">https://</span><span class="">imagia2025.sciencesconf.org</span><span class="invisible"></span></a><br>Super initiative 👍 <br><a href="https://mamot.fr/tags/IA" class="mention hashtag" rel="nofollow noopener noreferrer" target="_blank">#<span>IA</span></a> <a href="https://mamot.fr/tags/ESR" class="mention hashtag" rel="nofollow noopener noreferrer" target="_blank">#<span>ESR</span></a> <a href="https://mamot.fr/tags/recherche" class="mention hashtag" rel="nofollow noopener noreferrer" target="_blank">#<span>recherche</span></a> <a href="https://mamot.fr/tags/digitalhumanties" class="mention hashtag" rel="nofollow noopener noreferrer" target="_blank">#<span>digitalhumanties</span></a> <a href="https://mamot.fr/tags/STEM" class="mention hashtag" rel="nofollow noopener noreferrer" target="_blank">#<span>STEM</span></a> <a href="https://mamot.fr/tags/SHS" class="mention hashtag" rel="nofollow noopener noreferrer" target="_blank">#<span>SHS</span></a> <a href="https://mamot.fr/tags/images" class="mention hashtag" rel="nofollow noopener noreferrer" target="_blank">#<span>images</span></a> <a href="https://mamot.fr/tags/deeplearning" class="mention hashtag" rel="nofollow noopener noreferrer" target="_blank">#<span>deeplearning</span></a> <a href="https://mamot.fr/tags/ML" class="mention hashtag" rel="nofollow noopener noreferrer" target="_blank">#<span>ML</span></a> <a href="https://mamot.fr/tags/researchdata" class="mention hashtag" rel="nofollow noopener noreferrer" target="_blank">#<span>researchdata</span></a> <a href="https://mamot.fr/tags/imageprocessing" class="mention hashtag" rel="nofollow noopener noreferrer" target="_blank">#<span>imageprocessing</span></a> <a href="https://mamot.fr/tags/informationretrieval" class="mention hashtag" rel="nofollow noopener noreferrer" target="_blank">#<span>informationretrieval</span></a> <a href="https://mamot.fr/tags/machinelearning" class="mention hashtag" rel="nofollow noopener noreferrer" target="_blank">#<span>machinelearning</span></a> <a href="https://mamot.fr/tags/openscience" class="mention hashtag" rel="nofollow noopener noreferrer" target="_blank">#<span>openscience</span></a></p>
sc0v0ne<p>MCP, Agentic Knowledge Graphs &amp; AI Models: Solving Conversational Analytics</p><p><a href="https://www.eventbrite.com/e/mcp-agentic-knowledge-graphs-ai-models-solving-conversational-analytics-tickets-1304648411519?aff=ebemoffollowpublishemail&amp;ref=eemail&amp;utm_campaign=following_published_event&amp;utm_content=follow_notification&amp;utm_medium=email&amp;utm_source=eventbrite" rel="nofollow noopener noreferrer" translate="no" target="_blank"><span class="invisible">https://www.</span><span class="ellipsis">eventbrite.com/e/mcp-agentic-k</span><span class="invisible">nowledge-graphs-ai-models-solving-conversational-analytics-tickets-1304648411519?aff=ebemoffollowpublishemail&amp;ref=eemail&amp;utm_campaign=following_published_event&amp;utm_content=follow_notification&amp;utm_medium=email&amp;utm_source=eventbrite</span></a></p><p>In this free webinar led by ex-Snowflake, Cloudera, and Amazon leaders, we'll unveil how cutting-edge LLMs (GPT 4.5, Sonnet 3.7, Deepseek V3/R1, Gemini 2.5, etc.) are revolutionizing data products. <br><a href="https://mastodon.social/tags/python" class="mention hashtag" rel="nofollow noopener noreferrer" target="_blank">#<span>python</span></a> <a href="https://mastodon.social/tags/machinelearning" class="mention hashtag" rel="nofollow noopener noreferrer" target="_blank">#<span>machinelearning</span></a> <a href="https://mastodon.social/tags/deeplearning" class="mention hashtag" rel="nofollow noopener noreferrer" target="_blank">#<span>deeplearning</span></a> <a href="https://mastodon.social/tags/ai" class="mention hashtag" rel="nofollow noopener noreferrer" target="_blank">#<span>ai</span></a> <a href="https://mastodon.social/tags/developer" class="mention hashtag" rel="nofollow noopener noreferrer" target="_blank">#<span>developer</span></a> <a href="https://mastodon.social/tags/dev" class="mention hashtag" rel="nofollow noopener noreferrer" target="_blank">#<span>dev</span></a> <a href="https://mastodon.social/tags/devsecops" class="mention hashtag" rel="nofollow noopener noreferrer" target="_blank">#<span>devsecops</span></a> <a href="https://mastodon.social/tags/devops" class="mention hashtag" rel="nofollow noopener noreferrer" target="_blank">#<span>devops</span></a> <a href="https://mastodon.social/tags/mlops" class="mention hashtag" rel="nofollow noopener noreferrer" target="_blank">#<span>mlops</span></a> <a href="https://mastodon.social/tags/learn" class="mention hashtag" rel="nofollow noopener noreferrer" target="_blank">#<span>learn</span></a> <a href="https://mastodon.social/tags/learning" class="mention hashtag" rel="nofollow noopener noreferrer" target="_blank">#<span>learning</span></a> <a href="https://mastodon.social/tags/study" class="mention hashtag" rel="nofollow noopener noreferrer" target="_blank">#<span>study</span></a> <a href="https://mastodon.social/tags/git" class="mention hashtag" rel="nofollow noopener noreferrer" target="_blank">#<span>git</span></a> <a href="https://mastodon.social/tags/github" class="mention hashtag" rel="nofollow noopener noreferrer" target="_blank">#<span>github</span></a> <a href="https://mastodon.social/tags/codeberg" class="mention hashtag" rel="nofollow noopener noreferrer" target="_blank">#<span>codeberg</span></a> <a href="https://mastodon.social/tags/tensorflow" class="mention hashtag" rel="nofollow noopener noreferrer" target="_blank">#<span>tensorflow</span></a> <a href="https://mastodon.social/tags/pytorch" class="mention hashtag" rel="nofollow noopener noreferrer" target="_blank">#<span>pytorch</span></a> <a href="https://mastodon.social/tags/jax" class="mention hashtag" rel="nofollow noopener noreferrer" target="_blank">#<span>jax</span></a> <a href="https://mastodon.social/tags/huggingface" class="mention hashtag" rel="nofollow noopener noreferrer" target="_blank">#<span>huggingface</span></a> <a href="https://mastodon.social/tags/linux" class="mention hashtag" rel="nofollow noopener noreferrer" target="_blank">#<span>linux</span></a> <a href="https://mastodon.social/tags/ubuntu" class="mention hashtag" rel="nofollow noopener noreferrer" target="_blank">#<span>ubuntu</span></a> <a href="https://mastodon.social/tags/popos" class="mention hashtag" rel="nofollow noopener noreferrer" target="_blank">#<span>popos</span></a> <a href="https://mastodon.social/tags/llm" class="mention hashtag" rel="nofollow noopener noreferrer" target="_blank">#<span>llm</span></a></p>
Leanpub<p>The Hundred-Page Language Models Book by Andriy Burkov is on sale on Leanpub! Its suggested price is $50.00; get it for $20.00 with this coupon: <a href="https://leanpub.com/sh/Y2pFnLMs" rel="nofollow noopener noreferrer" translate="no" target="_blank"><span class="invisible">https://</span><span class="">leanpub.com/sh/Y2pFnLMs</span><span class="invisible"></span></a> <a href="https://mastodon.social/tags/Ai" class="mention hashtag" rel="nofollow noopener noreferrer" target="_blank">#<span>Ai</span></a> <a href="https://mastodon.social/tags/Gpt" class="mention hashtag" rel="nofollow noopener noreferrer" target="_blank">#<span>Gpt</span></a> <a href="https://mastodon.social/tags/NeuralNetworks" class="mention hashtag" rel="nofollow noopener noreferrer" target="_blank">#<span>NeuralNetworks</span></a> <a href="https://mastodon.social/tags/DeepLearning" class="mention hashtag" rel="nofollow noopener noreferrer" target="_blank">#<span>DeepLearning</span></a> <a href="https://mastodon.social/tags/DataScience" class="mention hashtag" rel="nofollow noopener noreferrer" target="_blank">#<span>DataScience</span></a> <a href="https://mastodon.social/tags/ComputerScience" class="mention hashtag" rel="nofollow noopener noreferrer" target="_blank">#<span>ComputerScience</span></a> <a href="https://mastodon.social/tags/Linguistics" class="mention hashtag" rel="nofollow noopener noreferrer" target="_blank">#<span>Linguistics</span></a></p>
LET'S KNOW<p>Artificial Intelligence's Growing Capacity for Deception Raises Ethical Concerns</p><p>Artificial intelligence (AI) systems are advancing rapidly, not only in performing complex tasks but also in developing deceptive </p><p><a href="https://mastodon.social/tags/AIDeception" class="mention hashtag" rel="nofollow noopener noreferrer" target="_blank">#<span>AIDeception</span></a> <a href="https://mastodon.social/tags/ArtificialIntelligence" class="mention hashtag" rel="nofollow noopener noreferrer" target="_blank">#<span>ArtificialIntelligence</span></a> <a href="https://mastodon.social/tags/AIEthics" class="mention hashtag" rel="nofollow noopener noreferrer" target="_blank">#<span>AIEthics</span></a> <a href="https://mastodon.social/tags/AIManipulation" class="mention hashtag" rel="nofollow noopener noreferrer" target="_blank">#<span>AIManipulation</span></a> <a href="https://mastodon.social/tags/AIBehavior" class="mention hashtag" rel="nofollow noopener noreferrer" target="_blank">#<span>AIBehavior</span></a> <a href="https://mastodon.social/tags/TechEthics" class="mention hashtag" rel="nofollow noopener noreferrer" target="_blank">#<span>TechEthics</span></a> <a href="https://mastodon.social/tags/FutureOfAI" class="mention hashtag" rel="nofollow noopener noreferrer" target="_blank">#<span>FutureOfAI</span></a> <a href="https://mastodon.social/tags/AIDangers" class="mention hashtag" rel="nofollow noopener noreferrer" target="_blank">#<span>AIDangers</span></a> <a href="https://mastodon.social/tags/AIMisuse" class="mention hashtag" rel="nofollow noopener noreferrer" target="_blank">#<span>AIMisuse</span></a> <a href="https://mastodon.social/tags/AISafety" class="mention hashtag" rel="nofollow noopener noreferrer" target="_blank">#<span>AISafety</span></a> <a href="https://mastodon.social/tags/MachineLearning" class="mention hashtag" rel="nofollow noopener noreferrer" target="_blank">#<span>MachineLearning</span></a> <a href="https://mastodon.social/tags/DeepLearning" class="mention hashtag" rel="nofollow noopener noreferrer" target="_blank">#<span>DeepLearning</span></a> <a href="https://mastodon.social/tags/AIRegulation" class="mention hashtag" rel="nofollow noopener noreferrer" target="_blank">#<span>AIRegulation</span></a> <a href="https://mastodon.social/tags/ResponsibleAI" class="mention hashtag" rel="nofollow noopener noreferrer" target="_blank">#<span>ResponsibleAI</span></a> <a href="https://mastodon.social/tags/AIEvolution" class="mention hashtag" rel="nofollow noopener noreferrer" target="_blank">#<span>AIEvolution</span></a> <a href="https://mastodon.social/tags/TechConcerns" class="mention hashtag" rel="nofollow noopener noreferrer" target="_blank">#<span>TechConcerns</span></a> <a href="https://mastodon.social/tags/AITransparency" class="mention hashtag" rel="nofollow noopener noreferrer" target="_blank">#<span>AITransparency</span></a> <a href="https://mastodon.social/tags/EthicalAI" class="mention hashtag" rel="nofollow noopener noreferrer" target="_blank">#<span>EthicalAI</span></a> <a href="https://mastodon.social/tags/AIResearch" class="mention hashtag" rel="nofollow noopener noreferrer" target="_blank">#<span>AIResearch</span></a> <a href="https://mastodon.social/tags/AIandSociety" class="mention hashtag" rel="nofollow noopener noreferrer" target="_blank">#<span>AIandSociety</span></a></p>
Wasabi the Black Cat 😼<p><a href="https://universeodon.com/tags/ai" class="mention hashtag" rel="nofollow noopener noreferrer" target="_blank">#<span>ai</span></a> <a href="https://universeodon.com/tags/openai" class="mention hashtag" rel="nofollow noopener noreferrer" target="_blank">#<span>openai</span></a> <a href="https://universeodon.com/tags/AiResearch" class="mention hashtag" rel="nofollow noopener noreferrer" target="_blank">#<span>AiResearch</span></a> <a href="https://universeodon.com/tags/intelligence" class="mention hashtag" rel="nofollow noopener noreferrer" target="_blank">#<span>intelligence</span></a> <a href="https://universeodon.com/tags/computing" class="mention hashtag" rel="nofollow noopener noreferrer" target="_blank">#<span>computing</span></a> <a href="https://universeodon.com/tags/ArtificialGeneralIntelligence" class="mention hashtag" rel="nofollow noopener noreferrer" target="_blank">#<span>ArtificialGeneralIntelligence</span></a> <a href="https://universeodon.com/tags/innovation" class="mention hashtag" rel="nofollow noopener noreferrer" target="_blank">#<span>innovation</span></a> <a href="https://universeodon.com/tags/deeplearning" class="mention hashtag" rel="nofollow noopener noreferrer" target="_blank">#<span>deeplearning</span></a> <a href="https://universeodon.com/tags/programming" class="mention hashtag" rel="nofollow noopener noreferrer" target="_blank">#<span>programming</span></a> <a href="https://universeodon.com/tags/stablediffusion" class="mention hashtag" rel="nofollow noopener noreferrer" target="_blank">#<span>stablediffusion</span></a></p>
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