rijo<p>NVIDIA research challenges $57 billion AI infrastructure strategy with small language models <a href="https://ppc.land/nvidia-research-challenges-57-billion-ai-infrastructure-strategy-with-small-language-models/" rel="nofollow noopener" translate="no" target="_blank"><span class="invisible">https://</span><span class="ellipsis">ppc.land/nvidia-research-chall</span><span class="invisible">enges-57-billion-ai-infrastructure-strategy-with-small-language-models/</span></a> <a href="https://frankfurt.social/tags/NVIDIA" class="mention hashtag" rel="nofollow noopener" target="_blank">#<span>NVIDIA</span></a> <a href="https://frankfurt.social/tags/AI" class="mention hashtag" rel="nofollow noopener" target="_blank">#<span>AI</span></a> <a href="https://frankfurt.social/tags/ArtificialIntelligence" class="mention hashtag" rel="nofollow noopener" target="_blank">#<span>ArtificialIntelligence</span></a> <a href="https://frankfurt.social/tags/MachineLearning" class="mention hashtag" rel="nofollow noopener" target="_blank">#<span>MachineLearning</span></a> <a href="https://frankfurt.social/tags/SmallLanguageModels" class="mention hashtag" rel="nofollow noopener" target="_blank">#<span>SmallLanguageModels</span></a></p>
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#smalllanguagemodels
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PPC Land<p>NVIDIA research challenges $57 billion AI infrastructure strategy with small language models: Small models demonstrate equivalent performance for 60-80% of enterprise AI tasks at fraction of operational cost. <a href="https://ppc.land/nvidia-research-challenges-57-billion-ai-infrastructure-strategy-with-small-language-models/" rel="nofollow noopener" translate="no" target="_blank"><span class="invisible">https://</span><span class="ellipsis">ppc.land/nvidia-research-chall</span><span class="invisible">enges-57-billion-ai-infrastructure-strategy-with-small-language-models/</span></a> <a href="https://mastodon.social/tags/NVIDIA" class="mention hashtag" rel="nofollow noopener" target="_blank">#<span>NVIDIA</span></a> <a href="https://mastodon.social/tags/AI" class="mention hashtag" rel="nofollow noopener" target="_blank">#<span>AI</span></a> <a href="https://mastodon.social/tags/ArtificialIntelligence" class="mention hashtag" rel="nofollow noopener" target="_blank">#<span>ArtificialIntelligence</span></a> <a href="https://mastodon.social/tags/MachineLearning" class="mention hashtag" rel="nofollow noopener" target="_blank">#<span>MachineLearning</span></a> <a href="https://mastodon.social/tags/SmallLanguageModels" class="mention hashtag" rel="nofollow noopener" target="_blank">#<span>SmallLanguageModels</span></a></p>
Arthur Hau, PhD🐶🐱🌱🎵🦣<p>There are two obstacles when you use <a href="https://tribe.net/tags/Assemblyscript" class="mention hashtag" rel="nofollow noopener" target="_blank">#<span>Assemblyscript</span></a> and <a href="https://tribe.net/tags/Deno" class="mention hashtag" rel="nofollow noopener" target="_blank">#<span>Deno</span></a> for <a href="https://tribe.net/tags/MachineLearning" class="mention hashtag" rel="nofollow noopener" target="_blank">#<span>MachineLearning</span></a> <a href="https://tribe.net/tags/ML" class="mention hashtag" rel="nofollow noopener" target="_blank">#<span>ML</span></a> and <a href="https://tribe.net/tags/SmallLanguageModels" class="mention hashtag" rel="nofollow noopener" target="_blank">#<span>SmallLanguageModels</span></a> <a href="https://tribe.net/tags/SLM" class="mention hashtag" rel="nofollow noopener" target="_blank">#<span>SLM</span></a>. 1. Assemblyscript works with linear memory and you have to flatten 3D <a href="https://tribe.net/tags/tensors" class="mention hashtag" rel="nofollow noopener" target="_blank">#<span>tensors</span></a> and 2D <a href="https://tribe.net/tags/matrices" class="mention hashtag" rel="nofollow noopener" target="_blank">#<span>matrices</span></a> into 1D <a href="https://tribe.net/tags/arrays" class="mention hashtag" rel="nofollow noopener" target="_blank">#<span>arrays</span></a> for doing any matrix algebra. 2. Deno is a bit more complicated than Node.js when working with <a href="https://tribe.net/tags/WASM" class="mention hashtag" rel="nofollow noopener" target="_blank">#<span>WASM</span></a> (<a href="https://tribe.net/tags/Webassemly" class="mention hashtag" rel="nofollow noopener" target="_blank">#<span>Webassemly</span></a>) files. Here is how you do it. Webassembly makes NNUE models even faster in computation. This together with <a href="https://tribe.net/tags/WebGPU" class="mention hashtag" rel="nofollow noopener" target="_blank">#<span>WebGPU</span></a> will become our future. <a href="https://tribe.net/tags/AI" class="mention hashtag" rel="nofollow noopener" target="_blank">#<span>AI</span></a> <a href="https://tribe.net/tags/javascript" class="mention hashtag" rel="nofollow noopener" target="_blank">#<span>javascript</span></a></p>
EPFL<p>🤖 🗣️ Small language models are more reliable and secure than their large counterparts, primarily because they draw information from a circumscribed dataset. Expect to see more chatbots running on these slimmed-down alternatives in the coming months.</p><p><a href="https://social.epfl.ch/tags/SmallLanguageModels" class="mention hashtag" rel="nofollow noopener" target="_blank">#<span>SmallLanguageModels</span></a> <a href="https://social.epfl.ch/tags/Robots" class="mention hashtag" rel="nofollow noopener" target="_blank">#<span>Robots</span></a> <a href="https://social.epfl.ch/tags/Innovation" class="mention hashtag" rel="nofollow noopener" target="_blank">#<span>Innovation</span></a></p><p>Read more: <a href="https://go.epfl.ch/b7s-en" rel="nofollow noopener" translate="no" target="_blank"><span class="invisible">https://</span><span class="">go.epfl.ch/b7s-en</span><span class="invisible"></span></a></p>
Dag<p><a href="https://snabelen.no/tags/Innovation" class="mention hashtag" rel="nofollow noopener" target="_blank">#<span>Innovation</span></a> often comes from people who are resource constrained <a href="https://snabelen.no/tags/AI" class="mention hashtag" rel="nofollow noopener" target="_blank">#<span>AI</span></a> <a href="https://snabelen.no/tags/SmallLanguageModels" class="mention hashtag" rel="nofollow noopener" target="_blank">#<span>SmallLanguageModels</span></a> <a href="https://github.blog/ai-and-ml/generative-ai/open-source-ai-is-already-finding-its-way-into-production/" rel="nofollow noopener" translate="no" target="_blank"><span class="invisible">https://</span><span class="ellipsis">github.blog/ai-and-ml/generati</span><span class="invisible">ve-ai/open-source-ai-is-already-finding-its-way-into-production/</span></a></p>
Europe Says<p><a href="https://www.europesays.com/1786964/" rel="nofollow noopener" target="_blank"><span class="invisible">https://www.</span><span class="">europesays.com/1786964/</span><span class="invisible"></span></a> Governance Under Spotlight as AI Shapes Payments Innovation #<a href="https://pubeurope.com/tags/banking" class="mention hashtag" rel="nofollow noopener" target="_blank">#<span>banking</span></a> <a href="https://pubeurope.com/tags/AgenticAI" class="mention hashtag" rel="nofollow noopener" target="_blank">#<span>AgenticAI</span></a> <a href="https://pubeurope.com/tags/AI" class="mention hashtag" rel="nofollow noopener" target="_blank">#<span>AI</span></a> <a href="https://pubeurope.com/tags/AIAgents" class="mention hashtag" rel="nofollow noopener" target="_blank">#<span>AIAgents</span></a> <a href="https://pubeurope.com/tags/AIFraudDetection" class="mention hashtag" rel="nofollow noopener" target="_blank">#<span>AIFraudDetection</span></a> <a href="https://pubeurope.com/tags/ArtificialIntelligence" class="mention hashtag" rel="nofollow noopener" target="_blank">#<span>ArtificialIntelligence</span></a> <a href="https://pubeurope.com/tags/FeaturedNews" class="mention hashtag" rel="nofollow noopener" target="_blank">#<span>FeaturedNews</span></a> <a href="https://pubeurope.com/tags/FraudDetection" class="mention hashtag" rel="nofollow noopener" target="_blank">#<span>FraudDetection</span></a> <a href="https://pubeurope.com/tags/GenAI" class="mention hashtag" rel="nofollow noopener" target="_blank">#<span>GenAI</span></a> <a href="https://pubeurope.com/tags/GenerativeAI" class="mention hashtag" rel="nofollow noopener" target="_blank">#<span>GenerativeAI</span></a> <a href="https://pubeurope.com/tags/LargeLanguageModels" class="mention hashtag" rel="nofollow noopener" target="_blank">#<span>LargeLanguageModels</span></a> <a href="https://pubeurope.com/tags/LLMs" class="mention hashtag" rel="nofollow noopener" target="_blank">#<span>LLMs</span></a> <a href="https://pubeurope.com/tags/MarkSundt" class="mention hashtag" rel="nofollow noopener" target="_blank">#<span>MarkSundt</span></a> <a href="https://pubeurope.com/tags/News" class="mention hashtag" rel="nofollow noopener" target="_blank">#<span>News</span></a> <a href="https://pubeurope.com/tags/PaymentsInnovation" class="mention hashtag" rel="nofollow noopener" target="_blank">#<span>PaymentsInnovation</span></a> <a href="https://pubeurope.com/tags/PYMNTSNews" class="mention hashtag" rel="nofollow noopener" target="_blank">#<span>PYMNTSNews</span></a> <a href="https://pubeurope.com/tags/PymntsTv" class="mention hashtag" rel="nofollow noopener" target="_blank">#<span>PymntsTv</span></a> <a href="https://pubeurope.com/tags/RiskManagement" class="mention hashtag" rel="nofollow noopener" target="_blank">#<span>RiskManagement</span></a> <a href="https://pubeurope.com/tags/SmallLanguageModels" class="mention hashtag" rel="nofollow noopener" target="_blank">#<span>SmallLanguageModels</span></a> <a href="https://pubeurope.com/tags/StaxPayments" class="mention hashtag" rel="nofollow noopener" target="_blank">#<span>StaxPayments</span></a> <a href="https://pubeurope.com/tags/video" class="mention hashtag" rel="nofollow noopener" target="_blank">#<span>video</span></a> <a href="https://pubeurope.com/tags/What" class="mention hashtag" rel="nofollow noopener" target="_blank">#<span>What</span></a>’sNextInPayments:MemoToTheGenAICompanies2025 <a href="https://pubeurope.com/tags/WhatsNextInPaymentsSeries" class="mention hashtag" rel="nofollow noopener" target="_blank">#<span>WhatsNextInPaymentsSeries</span></a></p>
InfoQ<p><a href="https://techhub.social/tags/EdgeComputing" class="mention hashtag" rel="nofollow noopener" target="_blank">#<span>EdgeComputing</span></a> is like the cool kid on the tech block, handling data right where it’s created instead of sending everything back to the cloud. </p><p>The result? Faster decision-making, reduced bandwidth usage, and enhanced privacy.</p><p>But here’s the catch: edge devices often operate under strict constraints regarding processing power, memory, and energy consumption. </p><p>💡 Enter … <a href="https://techhub.social/tags/SmallLanguageModels" class="mention hashtag" rel="nofollow noopener" target="_blank">#<span>SmallLanguageModels</span></a> (SLMs) - the efficient sidekick to save the day. </p><p>In this <a href="https://techhub.social/tags/InfoQ" class="mention hashtag" rel="nofollow noopener" target="_blank">#<span>InfoQ</span></a> article, Suruchi Shah explores how SLMs can work their magic by learning and adapting to patterns in real-time, reducing the computational burden, and making edge devices smarter without asking for much in return: <a href="https://bit.ly/4fIQsDI" rel="nofollow noopener" translate="no" target="_blank"><span class="invisible">https://</span><span class="">bit.ly/4fIQsDI</span><span class="invisible"></span></a></p><p><a href="https://techhub.social/tags/AI" class="mention hashtag" rel="nofollow noopener" target="_blank">#<span>AI</span></a> <a href="https://techhub.social/tags/GenerativeAI" class="mention hashtag" rel="nofollow noopener" target="_blank">#<span>GenerativeAI</span></a> <a href="https://techhub.social/tags/LLMs" class="mention hashtag" rel="nofollow noopener" target="_blank">#<span>LLMs</span></a></p>
InfoQ<p>Dives into the world of <a href="https://techhub.social/tags/GenerativeAI" class="mention hashtag" rel="nofollow noopener" target="_blank">#<span>GenerativeAI</span></a> & <a href="https://techhub.social/tags/SmallLanguageModels" class="mention hashtag" rel="nofollow noopener" target="_blank">#<span>SmallLanguageModels</span></a> - <a href="https://techhub.social/tags/SLMs" class="mention hashtag" rel="nofollow noopener" target="_blank">#<span>SLMs</span></a>!</p><p>"So latest trend in the language model evolution are the small language models or SLMs that offer many of the same benefits as LLMs, but they're smaller in size, they're trained using smaller data sets and they don't require a lot of computing resources." - Namee Oberst, Co-Founder of LLMWare</p><p>🎧 Listen now: <a href="https://bit.ly/4f9M5Sz" rel="nofollow noopener" translate="no" target="_blank"><span class="invisible">https://</span><span class="">bit.ly/4f9M5Sz</span><span class="invisible"></span></a> </p><p><a href="https://techhub.social/tags/AI" class="mention hashtag" rel="nofollow noopener" target="_blank">#<span>AI</span></a> <a href="https://techhub.social/tags/RAG" class="mention hashtag" rel="nofollow noopener" target="_blank">#<span>RAG</span></a> <a href="https://techhub.social/tags/LLMs" class="mention hashtag" rel="nofollow noopener" target="_blank">#<span>LLMs</span></a> <a href="https://techhub.social/tags/EdgeComputing" class="mention hashtag" rel="nofollow noopener" target="_blank">#<span>EdgeComputing</span></a></p>
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