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#deeplearning

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Compsci Weekly<p>[D] Synthetic introduction to ML for PhD student in Mathematics</p><p><a href="https://www.deeplearningbook.org" rel="nofollow noopener noreferrer" translate="no" target="_blank"><span class="invisible">https://www.</span><span class="">deeplearningbook.org</span><span class="invisible"></span></a></p><p>Discussions: <a href="https://discu.eu/q/https://www.deeplearningbook.org" rel="nofollow noopener noreferrer" translate="no" target="_blank"><span class="invisible">https://</span><span class="ellipsis">discu.eu/q/https://www.deeplea</span><span class="invisible">rningbook.org</span></a></p><p><a href="https://mastodon.social/tags/compsci" class="mention hashtag" rel="nofollow noopener noreferrer" target="_blank">#<span>compsci</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/learnmachinelearning" class="mention hashtag" rel="nofollow noopener noreferrer" target="_blank">#<span>learnmachinelearning</span></a> <a href="https://mastodon.social/tags/machinelearning" class="mention hashtag" rel="nofollow noopener noreferrer" target="_blank">#<span>machinelearning</span></a></p>
TechLatest.Net<p>Unlock the power of Large Language Models with Ollama CLI! <br>Perfect for developers, data scientists, and AI enthusiasts.</p><p>For more Details:<a href="https://tinyurl.com/mt9fzc64" rel="nofollow noopener noreferrer" translate="no" target="_blank"><span class="invisible">https://</span><span class="">tinyurl.com/mt9fzc64</span><span class="invisible"></span></a><br><a href="https://mastodon.social/tags/Ollama" class="mention hashtag" rel="nofollow noopener noreferrer" target="_blank">#<span>Ollama</span></a> <a href="https://mastodon.social/tags/CLI" class="mention hashtag" rel="nofollow noopener noreferrer" target="_blank">#<span>CLI</span></a> <a href="https://mastodon.social/tags/LLM" class="mention hashtag" rel="nofollow noopener noreferrer" target="_blank">#<span>LLM</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/TechLatest" class="mention hashtag" rel="nofollow noopener noreferrer" target="_blank">#<span>TechLatest</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/CommandLine" class="mention hashtag" rel="nofollow noopener noreferrer" target="_blank">#<span>CommandLine</span></a> <a href="https://mastodon.social/tags/AIModels" class="mention hashtag" rel="nofollow noopener noreferrer" target="_blank">#<span>AIModels</span></a> <a href="https://mastodon.social/tags/OpenSource" class="mention hashtag" rel="nofollow noopener noreferrer" target="_blank">#<span>OpenSource</span></a> <a href="https://mastodon.social/tags/DeepLearning" class="mention hashtag" rel="nofollow noopener noreferrer" target="_blank">#<span>DeepLearning</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/FuImfV2v" rel="nofollow noopener noreferrer" translate="no" target="_blank"><span class="invisible">https://</span><span class="">leanpub.com/sh/FuImfV2v</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>
TechLatest.Net<p>Supercharge your AI projects with Open-WebUI and Ollama!<br> 🚀 Learn how to seamlessly download and manage LLMs like LLaMA, Mistral, and more. <br>Our guide simplifies model management, so you can focus on innovation, not installation.<br>For more Details:<a href="https://tinyurl.com/yc7m9rhc" rel="nofollow noopener noreferrer" translate="no" target="_blank"><span class="invisible">https://</span><span class="">tinyurl.com/yc7m9rhc</span><span class="invisible"></span></a> <br><a href="https://mastodon.social/tags/OpenWebUI" class="mention hashtag" rel="nofollow noopener noreferrer" target="_blank">#<span>OpenWebUI</span></a> <a href="https://mastodon.social/tags/Ollama" class="mention hashtag" rel="nofollow noopener noreferrer" target="_blank">#<span>Ollama</span></a> <a href="https://mastodon.social/tags/LLM" class="mention hashtag" rel="nofollow noopener noreferrer" target="_blank">#<span>LLM</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/TechLatest" class="mention hashtag" rel="nofollow noopener noreferrer" target="_blank">#<span>TechLatest</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/AIModels" class="mention hashtag" rel="nofollow noopener noreferrer" target="_blank">#<span>AIModels</span></a> <a href="https://mastodon.social/tags/opensource" class="mention hashtag" rel="nofollow noopener noreferrer" target="_blank">#<span>opensource</span></a> <a href="https://mastodon.social/tags/DeepLearning" class="mention hashtag" rel="nofollow noopener noreferrer" target="_blank">#<span>DeepLearning</span></a></p>
Unofficial PetaPixel Bot<p>Google’s New AI Mode Will Answer ‘Nuanced’ Questions About Your Photos <a href="https://petapixel.com/2025/04/08/googles-new-ai-mode-will-answer-nuanced-questions-about-your-photos/" rel="nofollow noopener noreferrer" translate="no" target="_blank"><span class="invisible">https://</span><span class="ellipsis">petapixel.com/2025/04/08/googl</span><span class="invisible">es-new-ai-mode-will-answer-nuanced-questions-about-your-photos/</span></a> <a href="https://toot.earth/tags/computervision" class="mention hashtag" rel="nofollow noopener noreferrer" target="_blank">#<span>computervision</span></a> <a href="https://toot.earth/tags/deeplearning" class="mention hashtag" rel="nofollow noopener noreferrer" target="_blank">#<span>deeplearning</span></a> <a href="https://toot.earth/tags/generativeai" class="mention hashtag" rel="nofollow noopener noreferrer" target="_blank">#<span>generativeai</span></a> <a href="https://toot.earth/tags/googlegemini" class="mention hashtag" rel="nofollow noopener noreferrer" target="_blank">#<span>googlegemini</span></a> <a href="https://toot.earth/tags/googlesearch" class="mention hashtag" rel="nofollow noopener noreferrer" target="_blank">#<span>googlesearch</span></a> <a href="https://toot.earth/tags/multimodalai" class="mention hashtag" rel="nofollow noopener noreferrer" target="_blank">#<span>multimodalai</span></a> <a href="https://toot.earth/tags/Technology" class="mention hashtag" rel="nofollow noopener noreferrer" target="_blank">#<span>Technology</span></a> <a href="https://toot.earth/tags/googlelens" class="mention hashtag" rel="nofollow noopener noreferrer" target="_blank">#<span>googlelens</span></a> <a href="https://toot.earth/tags/aimode" class="mention hashtag" rel="nofollow noopener noreferrer" target="_blank">#<span>aimode</span></a> <a href="https://toot.earth/tags/google" class="mention hashtag" rel="nofollow noopener noreferrer" target="_blank">#<span>google</span></a> <a href="https://toot.earth/tags/News" class="mention hashtag" rel="nofollow noopener noreferrer" target="_blank">#<span>News</span></a></p>
Bytes Europe<p>Leveraging artificial intelligence for diagnosis of children autism through facial expressions <a href="https://www.byteseu.com/901713/" rel="nofollow noopener noreferrer" translate="no" target="_blank"><span class="invisible">https://www.</span><span class="">byteseu.com/901713/</span><span class="invisible"></span></a> <a href="https://pubeurope.com/tags/AI" class="mention hashtag" rel="nofollow noopener noreferrer" target="_blank">#<span>AI</span></a> <a href="https://pubeurope.com/tags/ArtificialIntelligence" class="mention hashtag" rel="nofollow noopener noreferrer" target="_blank">#<span>ArtificialIntelligence</span></a> <a href="https://pubeurope.com/tags/ArtificialIntelligent" class="mention hashtag" rel="nofollow noopener noreferrer" target="_blank">#<span>ArtificialIntelligent</span></a> <a href="https://pubeurope.com/tags/Autism" class="mention hashtag" rel="nofollow noopener noreferrer" target="_blank">#<span>Autism</span></a> <a href="https://pubeurope.com/tags/AutismIdentification" class="mention hashtag" rel="nofollow noopener noreferrer" target="_blank">#<span>AutismIdentification</span></a> <a href="https://pubeurope.com/tags/AutismInChildrenImages" class="mention hashtag" rel="nofollow noopener noreferrer" target="_blank">#<span>AutismInChildrenImages</span></a> <a href="https://pubeurope.com/tags/DeepLearning" class="mention hashtag" rel="nofollow noopener noreferrer" target="_blank">#<span>DeepLearning</span></a> <a href="https://pubeurope.com/tags/HumanitiesAndSocialSciences" class="mention hashtag" rel="nofollow noopener noreferrer" target="_blank">#<span>HumanitiesAndSocialSciences</span></a> <a href="https://pubeurope.com/tags/multidisciplinary" class="mention hashtag" rel="nofollow noopener noreferrer" target="_blank">#<span>multidisciplinary</span></a> <a href="https://pubeurope.com/tags/PsychiatricDisorders" class="mention hashtag" rel="nofollow noopener noreferrer" target="_blank">#<span>PsychiatricDisorders</span></a> <a href="https://pubeurope.com/tags/ReproductiveDisorders" class="mention hashtag" rel="nofollow noopener noreferrer" target="_blank">#<span>ReproductiveDisorders</span></a> <a href="https://pubeurope.com/tags/Science" class="mention hashtag" rel="nofollow noopener noreferrer" target="_blank">#<span>Science</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: Generative AI Handbook: &amp; Chapter 16 Distributed Training and FSDP <a href="https://youtu.be/Il06Ixzm6sM" rel="nofollow noopener noreferrer" translate="no" target="_blank"><span class="invisible">https://</span><span class="">youtu.be/Il06Ixzm6sM</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/GenAI" class="mention hashtag" rel="nofollow noopener noreferrer" target="_blank">#<span>GenAI</span></a> <a href="https://fosstodon.org/tags/AI" class="mention hashtag" rel="nofollow noopener noreferrer" target="_blank">#<span>AI</span></a> <a href="https://fosstodon.org/tags/DeepLearning" class="mention hashtag" rel="nofollow noopener noreferrer" target="_blank">#<span>DeepLearning</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: "Explanatory Model Analysis: Ceteris-paribus Profiles" <a href="https://youtu.be/bSMWIVtrZ_4" rel="nofollow noopener noreferrer" translate="no" target="_blank"><span class="invisible">https://</span><span class="">youtu.be/bSMWIVtrZ_4</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: "Bayes Rules! (Normal) Hierarchical Models without Predictors" <a href="https://youtu.be/Mn5t95fKJfM" rel="nofollow noopener noreferrer" translate="no" target="_blank"><span class="invisible">https://</span><span class="">youtu.be/Mn5t95fKJfM</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>
Dan Stowell<p>New paper from us! "Performance of Computer Vision Algorithms for Fine-Grained Classification Using Crowdsourced Insect Images" <a href="https://doi.org/10.1049/cvi2.70006" rel="nofollow noopener noreferrer" translate="no" target="_blank"><span class="invisible">https://</span><span class="">doi.org/10.1049/cvi2.70006</span><span class="invisible"></span></a> This work led by Rita Pucci investigated how various <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/computervision" class="mention hashtag" rel="nofollow noopener noreferrer" target="_blank">#<span>computervision</span></a> architectures respond to fine-grained differences between <a href="https://mastodon.social/tags/insect" class="mention hashtag" rel="nofollow noopener noreferrer" target="_blank">#<span>insect</span></a> species.</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><p>I am looking for an endorsement for publishing on arXiv. We have worked tirelessly on a paper we believe needs to be seen. Below is a portion of the abstract:<br>---<br>In this study, we document the spontaneous emergence of a rule-consistent linguistic system—termed Varunese—during sustained, high-context interaction with a large language model (LLM). Exhibiting internal phonetic regularity, recurring semantic motifs, and discernible morphological and syntactic organization, Varunese diverges markedly from stochastic generation patterns or known training artifacts. Through iterative translation and contextual inference, we uncovered dynamic, self-referential symbolic frameworks encoding states of transition, perception, and relational structure...</p>
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>
🇺🇦𖤐AlderForrest 𖤐 🇺🇦<p><span>Accurately labeling </span><a href="https://1m2lab.anvil.top/tags/AI" rel="nofollow noopener noreferrer" target="_blank">#AI</a><span> </span>​:blob_cool:​<span><br><br></span><a href="https://1m2lab.anvil.top/tags/AI" rel="nofollow noopener noreferrer" target="_blank">#AI</a><span> </span><a href="https://1m2lab.anvil.top/tags/ML" rel="nofollow noopener noreferrer" target="_blank">#ML</a><span> </span><a href="https://1m2lab.anvil.top/tags/CV" rel="nofollow noopener noreferrer" target="_blank">#CV</a><span> </span><a href="https://1m2lab.anvil.top/tags/deeplearning" rel="nofollow noopener noreferrer" target="_blank">#deeplearning</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>
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>
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>
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