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Alvin Ashcraft 🐿️<p>Phi Silica task specialization using LoRA in Microsoft Learning Zone: A technical deep dive.</p><p><a href="https://blogs.windows.com/windowsdeveloper/2025/07/31/phi-silica-task-specialization-using-lora-in-microsoft-learning-zone-a-technical-deep-dive/" rel="nofollow noopener" translate="no" target="_blank"><span class="invisible">https://</span><span class="ellipsis">blogs.windows.com/windowsdevel</span><span class="invisible">oper/2025/07/31/phi-silica-task-specialization-using-lora-in-microsoft-learning-zone-a-technical-deep-dive/</span></a> </p><p><a href="https://hachyderm.io/tags/ai" class="mention hashtag" rel="nofollow noopener" target="_blank">#<span>ai</span></a> <a href="https://hachyderm.io/tags/windows" class="mention hashtag" rel="nofollow noopener" target="_blank">#<span>windows</span></a> <a href="https://hachyderm.io/tags/phisilica" class="mention hashtag" rel="nofollow noopener" target="_blank">#<span>phisilica</span></a> <a href="https://hachyderm.io/tags/lora" class="mention hashtag" rel="nofollow noopener" target="_blank">#<span>lora</span></a> <a href="https://hachyderm.io/tags/aimodels" class="mention hashtag" rel="nofollow noopener" target="_blank">#<span>aimodels</span></a> <a href="https://hachyderm.io/tags/windows11" class="mention hashtag" rel="nofollow noopener" target="_blank">#<span>windows11</span></a> <a href="https://hachyderm.io/tags/slm" class="mention hashtag" rel="nofollow noopener" target="_blank">#<span>slm</span></a></p>
GOMOOT<p>💡 Gemma 3n, l’AI open source di Google pensata per dispositivi mobili</p><p><a href="https://gomoot.com/gemma-3n-lai-open-source-di-google-pensata-per-dispositivi-mobili/" rel="nofollow noopener" translate="no" target="_blank"><span class="invisible">https://</span><span class="ellipsis">gomoot.com/gemma-3n-lai-open-s</span><span class="invisible">ource-di-google-pensata-per-dispositivi-mobili/</span></a></p><p><a href="https://mastodon.uno/tags/ai" class="mention hashtag" rel="nofollow noopener" target="_blank">#<span>ai</span></a> <a href="https://mastodon.uno/tags/blog" class="mention hashtag" rel="nofollow noopener" target="_blank">#<span>blog</span></a> <a href="https://mastodon.uno/tags/deepmind" class="mention hashtag" rel="nofollow noopener" target="_blank">#<span>deepmind</span></a> <a href="https://mastodon.uno/tags/gemma" class="mention hashtag" rel="nofollow noopener" target="_blank">#<span>gemma</span></a> <a href="https://mastodon.uno/tags/google" class="mention hashtag" rel="nofollow noopener" target="_blank">#<span>google</span></a> <a href="https://mastodon.uno/tags/ia" class="mention hashtag" rel="nofollow noopener" target="_blank">#<span>ia</span></a> <a href="https://mastodon.uno/tags/llm" class="mention hashtag" rel="nofollow noopener" target="_blank">#<span>llm</span></a> <a href="https://mastodon.uno/tags/news" class="mention hashtag" rel="nofollow noopener" target="_blank">#<span>news</span></a> <a href="https://mastodon.uno/tags/picks" class="mention hashtag" rel="nofollow noopener" target="_blank">#<span>picks</span></a> <a href="https://mastodon.uno/tags/slm" class="mention hashtag" rel="nofollow noopener" target="_blank">#<span>slm</span></a> <a href="https://mastodon.uno/tags/tech" class="mention hashtag" rel="nofollow noopener" target="_blank">#<span>tech</span></a> <a href="https://mastodon.uno/tags/tecnologia" class="mention hashtag" rel="nofollow noopener" target="_blank">#<span>tecnologia</span></a></p>
Sérac<p>Age gap.<br>Grüsch, <a href="https://troet.cafe/tags/Graub%C3%BCnden" class="mention hashtag" rel="nofollow noopener" target="_blank">#<span>Graubünden</span></a> <a href="https://troet.cafe/tags/Schweiz" class="mention hashtag" rel="nofollow noopener" target="_blank">#<span>Schweiz</span></a> <br><a href="https://troet.cafe/tags/RhB" class="mention hashtag" rel="nofollow noopener" target="_blank">#<span>RhB</span></a> <a href="https://troet.cafe/tags/SLM" class="mention hashtag" rel="nofollow noopener" target="_blank">#<span>SLM</span></a> <a href="https://troet.cafe/tags/Stadler" class="mention hashtag" rel="nofollow noopener" target="_blank">#<span>Stadler</span></a> <a href="https://troet.cafe/tags/trains" class="mention hashtag" rel="nofollow noopener" target="_blank">#<span>trains</span></a></p>
Alvin Ashcraft 🐿️<p>One year of Phi: Small language models making big leaps in AI.</p><p><a href="https://azure.microsoft.com/en-us/blog/one-year-of-phi-small-language-models-making-big-leaps-in-ai/" rel="nofollow noopener" translate="no" target="_blank"><span class="invisible">https://</span><span class="ellipsis">azure.microsoft.com/en-us/blog</span><span class="invisible">/one-year-of-phi-small-language-models-making-big-leaps-in-ai/</span></a> </p><p><a href="https://hachyderm.io/tags/slm" class="mention hashtag" rel="nofollow noopener" target="_blank">#<span>slm</span></a> <a href="https://hachyderm.io/tags/phi4" class="mention hashtag" rel="nofollow noopener" target="_blank">#<span>phi4</span></a> <a href="https://hachyderm.io/tags/ai" class="mention hashtag" rel="nofollow noopener" target="_blank">#<span>ai</span></a> <a href="https://hachyderm.io/tags/azure" class="mention hashtag" rel="nofollow noopener" target="_blank">#<span>azure</span></a> <a href="https://hachyderm.io/tags/cloud" class="mention hashtag" rel="nofollow noopener" target="_blank">#<span>cloud</span></a> <a href="https://hachyderm.io/tags/aimodels" class="mention hashtag" rel="nofollow noopener" target="_blank">#<span>aimodels</span></a></p>
Kerrick Long (code)<p>Building Local AI Agents: Semantic Kernel and Ollama in C#</p><p><a href="https://laurentkempe.com/2025/03/01/building-local-ai-agents-semantic-kernel-and-ollama-in-csharp/" rel="nofollow noopener" translate="no" target="_blank"><span class="invisible">https://</span><span class="ellipsis">laurentkempe.com/2025/03/01/bu</span><span class="invisible">ilding-local-ai-agents-semantic-kernel-and-ollama-in-csharp/</span></a></p><p><a href="https://dotnet.social/tags/AI" class="mention hashtag" rel="nofollow noopener" target="_blank">#<span>AI</span></a> <a href="https://dotnet.social/tags/ArtificialIntelligence" class="mention hashtag" rel="nofollow noopener" target="_blank">#<span>ArtificialIntelligence</span></a> <a href="https://dotnet.social/tags/MachineLearning" class="mention hashtag" rel="nofollow noopener" target="_blank">#<span>MachineLearning</span></a> <a href="https://dotnet.social/tags/SemanticKernel" class="mention hashtag" rel="nofollow noopener" target="_blank">#<span>SemanticKernel</span></a> <a href="https://dotnet.social/tags/Ollama" class="mention hashtag" rel="nofollow noopener" target="_blank">#<span>Ollama</span></a> <a href="https://dotnet.social/tags/CSharp" class="mention hashtag" rel="nofollow noopener" target="_blank">#<span>CSharp</span></a> <a href="https://dotnet.social/tags/DotNet" class="mention hashtag" rel="nofollow noopener" target="_blank">#<span>DotNet</span></a> <a href="https://dotnet.social/tags/LLM" class="mention hashtag" rel="nofollow noopener" target="_blank">#<span>LLM</span></a> <a href="https://dotnet.social/tags/SLM" class="mention hashtag" rel="nofollow noopener" target="_blank">#<span>SLM</span></a> <a href="https://dotnet.social/tags/AIAgents" class="mention hashtag" rel="nofollow noopener" target="_blank">#<span>AIAgents</span></a> <a href="https://dotnet.social/tags/Microsoft" class="mention hashtag" rel="nofollow noopener" target="_blank">#<span>Microsoft</span></a> <a href="https://dotnet.social/tags/OpenSource" class="mention hashtag" rel="nofollow noopener" target="_blank">#<span>OpenSource</span></a> <a href="https://dotnet.social/tags/Coding" class="mention hashtag" rel="nofollow noopener" target="_blank">#<span>Coding</span></a> <a href="https://dotnet.social/tags/DevCommunity" class="mention hashtag" rel="nofollow noopener" target="_blank">#<span>DevCommunity</span></a> <a href="https://dotnet.social/tags/Programming" class="mention hashtag" rel="nofollow noopener" target="_blank">#<span>Programming</span></a> <a href="https://dotnet.social/tags/ConsoleApp" class="mention hashtag" rel="nofollow noopener" target="_blank">#<span>ConsoleApp</span></a> <a href="https://dotnet.social/tags/Tech" class="mention hashtag" rel="nofollow noopener" target="_blank">#<span>Tech</span></a> <a href="https://dotnet.social/tags/SoftwareDevelopment" class="mention hashtag" rel="nofollow noopener" target="_blank">#<span>SoftwareDevelopment</span></a> <a href="https://dotnet.social/tags/DotNetCore" class="mention hashtag" rel="nofollow noopener" target="_blank">#<span>DotNetCore</span></a> <a href="https://dotnet.social/tags/CSharpDev" class="mention hashtag" rel="nofollow noopener" target="_blank">#<span>CSharpDev</span></a> <a href="https://dotnet.social/tags/AIEngineering" class="mention hashtag" rel="nofollow noopener" target="_blank">#<span>AIEngineering</span></a></p>
synthBirba<p>WAIT, you can <i>really</i> run AI locally with <a href="https://misskey.social/tags/SLM" rel="nofollow noopener" target="_blank">#SLM</a><span> and no one told me?! <br><br>I always thought you can run AI only if you have a ton of resources to put on it, but today i discovered there are smaller model for specific purposes </span>​:blobcat0_0:​<span> <br><br>If you know anything regarding SLM, reply to me, I really want to discover more!<br><br></span><a href="https://misskey.social/tags/Boost" rel="nofollow noopener" target="_blank">#Boost</a><span> appreciated !<br><br></span><a href="https://misskey.social/tags/til" rel="nofollow noopener" target="_blank">#til</a> <a href="https://misskey.social/tags/slm" rel="nofollow noopener" target="_blank">#slm</a> <a href="https://misskey.social/tags/llm" rel="nofollow noopener" target="_blank">#llm</a> <a href="https://misskey.social/tags/ai" rel="nofollow noopener" target="_blank">#ai</a></p>
Katherine Druckman<p>Another new episode of Open at Intel is out! I talked with Joshua Alphonse about small language models, <a href="https://reality2.social/tags/OpenSource" class="mention hashtag" rel="nofollow noopener" target="_blank">#<span>OpenSource</span></a> <a href="https://reality2.social/tags/AI" class="mention hashtag" rel="nofollow noopener" target="_blank">#<span>AI</span></a>, reducing bias, and other important topics in the world of AI development. Check it out! Feedback is always welcome, and I'd love to hear about what topics you'd like to hear more about. Find us here or in your favorite podcast app: <a href="https://openatintel.podbean.com/e/breaking-down-ai-small-models-big-impacts/" rel="nofollow noopener" translate="no" target="_blank"><span class="invisible">https://</span><span class="ellipsis">openatintel.podbean.com/e/brea</span><span class="invisible">king-down-ai-small-models-big-impacts/</span></a></p><p><a href="https://reality2.social/tags/podcast" class="mention hashtag" rel="nofollow noopener" target="_blank">#<span>podcast</span></a> <a href="https://reality2.social/tags/NewEpisode" class="mention hashtag" rel="nofollow noopener" target="_blank">#<span>NewEpisode</span></a> <a href="https://reality2.social/tags/SLM" class="mention hashtag" rel="nofollow noopener" target="_blank">#<span>SLM</span></a> <a href="https://reality2.social/tags/LLM" class="mention hashtag" rel="nofollow noopener" target="_blank">#<span>LLM</span></a> <a href="https://reality2.social/tags/GenAI" class="mention hashtag" rel="nofollow noopener" target="_blank">#<span>GenAI</span></a></p>
ma𝕏pool<p>Xinyu Guan et al, rStar-Math: Small LLMs Can Master Math Reasoning with Self-Evolved Deep Thinking, arXiv (2025).<br><a href="https://arxiv.org/abs/2501.04519" rel="nofollow noopener" translate="no" target="_blank"><span class="invisible">https://</span><span class="">arxiv.org/abs/2501.04519</span><span class="invisible"></span></a></p><p>Microsoft introduces rStar-Math, an SLM for math reasoning and problem solving<br><a href="https://techxplore.com/news/2025-01-microsoft-rstar-math-slm-problem.html" rel="nofollow noopener" translate="no" target="_blank"><span class="invisible">https://</span><span class="ellipsis">techxplore.com/news/2025-01-mi</span><span class="invisible">crosoft-rstar-math-slm-problem.html</span></a></p><p>"small language models (SLMs) can rival or even surpass the math reasoning capability of OpenAI o1, without distillation from superior models. rStar-Math achieves this by exercising "deep thinking" through Monte Carlo Tree Search (MCTS), where a math policy SLM performs test-time search guided by an SLM-based process reward model."</p><p><a href="https://mathstodon.xyz/tags/AI" class="mention hashtag" rel="nofollow noopener" target="_blank">#<span>AI</span></a> <a href="https://mathstodon.xyz/tags/SLM" class="mention hashtag" rel="nofollow noopener" target="_blank">#<span>SLM</span></a> <a href="https://mathstodon.xyz/tags/LLM" class="mention hashtag" rel="nofollow noopener" target="_blank">#<span>LLM</span></a></p>
Dominic Pajak<p>2025 will be the year of the on-device AI 🚀 </p><p>Specialized, efficient, private, AI models. Everywhere.</p><p><a href="https://sfba.social/tags/llm" class="mention hashtag" rel="nofollow noopener" target="_blank">#<span>llm</span></a> <a href="https://sfba.social/tags/edgeAI" class="mention hashtag" rel="nofollow noopener" target="_blank">#<span>edgeAI</span></a> <a href="https://sfba.social/tags/embeddedAI" class="mention hashtag" rel="nofollow noopener" target="_blank">#<span>embeddedAI</span></a> <a href="https://sfba.social/tags/slm" class="mention hashtag" rel="nofollow noopener" target="_blank">#<span>slm</span></a></p>
MosChip®<p>🤖 *The Rise of Small Language Models* </p><p>Small Language Models are on the rise, marking the beginning of a new era in AI. </p><p>AI continues to shape industries, but did you know that "*Small Language Models (SLMs)*" are driving transformations for businesses prioritizing efficiency, speed, and sustainability? </p><p>Read the full blog here: <a href="https://moschip.com/blog/the-rise-of-small-language-models/" rel="nofollow noopener" translate="no" target="_blank"><span class="invisible">https://</span><span class="ellipsis">moschip.com/blog/the-rise-of-s</span><span class="invisible">mall-language-models/</span></a><br>Let us know your thoughts in the comments! </p><p><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/SLM" class="mention hashtag" rel="nofollow noopener" target="_blank">#<span>SLM</span></a> <a href="https://mastodon.social/tags/GenerativeAI" class="mention hashtag" rel="nofollow noopener" target="_blank">#<span>GenerativeAI</span></a> <a href="https://mastodon.social/tags/MosChip" class="mention hashtag" rel="nofollow noopener" target="_blank">#<span>MosChip</span></a> <a href="https://mastodon.social/tags/IoT" class="mention hashtag" rel="nofollow noopener" target="_blank">#<span>IoT</span></a></p>
nbPierre Beauguitte und <span class="h-card"><a class="u-url mention" href="https://sigmoid.social/@osma" rel="nofollow noopener" target="_blank">@<span>osma</span></a></span> haben gerade auf der <a class="hashtag" href="https://social.biblioco.de/tag/swib24" rel="nofollow noopener" target="_blank">#swib24</a> demonstriert, dass automatische Formalerschließung von grauer Literatur mit einem ressourcenschonenden <a class="hashtag" href="https://social.biblioco.de/tag/slm" rel="nofollow noopener" target="_blank">#SLM</a> (Small Language Model) auf lokalen Geräten (Qwen2 0.5B, nur auf CPU) bis zu 85% akkurate Ergebnisse liefern und dabei auch Katalogisierungskonventionen berücksichtigen kann. Mit einem <a class="hashtag" href="https://social.biblioco.de/tag/llm" rel="nofollow noopener" target="_blank">#LLM</a> (Mistral Nemo 12B, mit GPU) konnten sie bis zu 92% erreichen. Dabei wichtiges Take-Away: Bibliotheken müssen ihre Trainingsdaten zusammenführen, damit guten Resulate erzielt werden können. Die beiden Nationalbibliotheken Norwegen und Finnland haben das in diesem Fall vorbildhaft gezeigt. Das Trainingsdatenset FinGreyLit ist schon unter CC0 veröffentlicht und wurde auf englischen, finnischen und schwedischen Dokumenten trainiert, die mit Dublin Core erschlossen wurden: <a href="https://github.com/NatLibFi/FinGreyLit" rel="nofollow noopener" target="_blank">https://github.com/NatLibFi/FinGreyLit</a><br><a class="hashtag" href="https://social.biblioco.de/tag/kiinbibliotheken" rel="nofollow noopener" target="_blank">#KIinBibliotheken</a> <a class="hashtag" href="https://social.biblioco.de/tag/bibliotheken" rel="nofollow noopener" target="_blank">#Bibliotheken</a> <a class="hashtag" href="https://social.biblioco.de/tag/generativeki" rel="nofollow noopener" target="_blank">#GenerativeKI</a> <a class="hashtag" href="https://social.biblioco.de/tag/llms" rel="nofollow noopener" target="_blank">#LLMs</a> <a class="hashtag" href="https://social.biblioco.de/tag/ki" rel="nofollow noopener" target="_blank">#KI</a> <a class="hashtag" href="https://social.biblioco.de/tag/erschliessung" rel="nofollow noopener" target="_blank">#Erschliessung</a> <a class="hashtag" href="https://social.biblioco.de/tag/katalogisierung" rel="nofollow noopener" target="_blank">#Katalogisierung</a>
Reboot Chronicles-Dean DeBiase<p>Just in time for the holiday’s, new perspectives to help you lead the <a href="https://mastodon.social/tags/Thanksgiving" class="mention hashtag" rel="nofollow noopener" target="_blank">#<span>Thanksgiving</span></a> table conversation, instead of your crazy uncle:</p><p><a href="https://www.forbes.com/sites/deandebiase/2024/11/25/why-small-language-models-are-the-next-big-thing-in-ai/" rel="nofollow noopener" translate="no" target="_blank"><span class="invisible">https://www.</span><span class="ellipsis">forbes.com/sites/deandebiase/2</span><span class="invisible">024/11/25/why-small-language-models-are-the-next-big-thing-in-ai/</span></a></p><p><a href="https://mastodon.social/tags/Hallucinations" class="mention hashtag" rel="nofollow noopener" target="_blank">#<span>Hallucinations</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/artificialintellegence" class="mention hashtag" rel="nofollow noopener" target="_blank">#<span>artificialintellegence</span></a> @Teradata @OpenAI <span class="h-card" translate="no"><a href="https://mastodon.social/@Anthropic" class="u-url mention" rel="nofollow noopener" target="_blank">@<span>Anthropic</span></a></span> <span class="h-card" translate="no"><a href="https://mastodon.social/@Amazon" class="u-url mention" rel="nofollow noopener" target="_blank">@<span>Amazon</span></a></span> Web Services (AWS) @Microsoft Azure @Google Cloud @Revieve <span class="h-card" translate="no"><a href="https://mastodon.social/@meta" class="u-url mention" rel="nofollow noopener" target="_blank">@<span>meta</span></a></span> <a href="https://mastodon.social/tags/LLM" class="mention hashtag" rel="nofollow noopener" target="_blank">#<span>LLM</span></a> <a href="https://mastodon.social/tags/SLM" class="mention hashtag" rel="nofollow noopener" target="_blank">#<span>SLM</span></a> <a href="https://mastodon.social/tags/therebootchronicles" class="mention hashtag" rel="nofollow noopener" target="_blank">#<span>therebootchronicles</span></a></p>
Prem Kumar Aparanji 👶🤖🐘<p>2. The ability to leverage <a href="https://mastodon.social/tags/LLMs" class="mention hashtag" rel="nofollow noopener" target="_blank">#<span>LLMs</span></a>, especially <a href="https://mastodon.social/tags/SLM" class="mention hashtag" rel="nofollow noopener" target="_blank">#<span>SLM</span></a> to fetch values like "summarise" or classify, etc. inside scalar SQL queries itself. Again, from MotherDuck folks.</p>
Putin's IBS<p><a href="https://mastodon.online/tags/Germany" class="mention hashtag" rel="nofollow noopener" target="_blank">#<span>Germany</span></a> announces significant military aid to <a href="https://mastodon.online/tags/Ukraine" class="mention hashtag" rel="nofollow noopener" target="_blank">#<span>Ukraine</span></a></p><p> As reported by the head of the Special Staff for <a href="https://mastodon.online/tags/Ukraine" class="mention hashtag" rel="nofollow noopener" target="_blank">#<span>Ukraine</span></a> in the <a href="https://mastodon.online/tags/German" class="mention hashtag" rel="nofollow noopener" target="_blank">#<span>German</span></a> Ministry of Defense, Major General <a href="https://mastodon.online/tags/Christian_Freiding" class="mention hashtag" rel="nofollow noopener" target="_blank">#<span>Christian_Freiding</span></a>, in the past week alone <a href="https://mastodon.online/tags/Ukraine" class="mention hashtag" rel="nofollow noopener" target="_blank">#<span>Ukraine</span></a> received two <a href="https://mastodon.online/tags/IRIS_T" class="mention hashtag" rel="nofollow noopener" target="_blank">#<span>IRIS_T</span></a> air defense systems from <a href="https://mastodon.online/tags/Germany" class="mention hashtag" rel="nofollow noopener" target="_blank">#<span>Germany</span></a> – <a href="https://mastodon.online/tags/SLM" class="mention hashtag" rel="nofollow noopener" target="_blank">#<span>SLM</span></a> (medium-range) and <a href="https://mastodon.online/tags/SLS" class="mention hashtag" rel="nofollow noopener" target="_blank">#<span>SLS</span></a> (short-range).</p><p>According to him, <a href="https://mastodon.online/tags/Berlin" class="mention hashtag" rel="nofollow noopener" target="_blank">#<span>Berlin</span></a> is currently supplying military equipment and ammunition to the <a href="https://mastodon.online/tags/Ukrainian" class="mention hashtag" rel="nofollow noopener" target="_blank">#<span>Ukrainian</span></a> military and will continue to support <a href="https://mastodon.online/tags/Ukraine" class="mention hashtag" rel="nofollow noopener" target="_blank">#<span>Ukraine</span></a>.</p>
Benjamin Carr, Ph.D. 👨🏻‍💻🧬<p><a href="https://hachyderm.io/tags/AMD" class="mention hashtag" rel="nofollow noopener" target="_blank">#<span>AMD</span></a> unveils its first <a href="https://hachyderm.io/tags/smalllanguagemodel" class="mention hashtag" rel="nofollow noopener" target="_blank">#<span>smalllanguagemodel</span></a> (<a href="https://hachyderm.io/tags/SLM" class="mention hashtag" rel="nofollow noopener" target="_blank">#<span>SLM</span></a>), <a href="https://hachyderm.io/tags/AMD135M" class="mention hashtag" rel="nofollow noopener" target="_blank">#<span>AMD135M</span></a><br>AMD is making all of AMD-135M model assets <a href="https://hachyderm.io/tags/opensource" class="mention hashtag" rel="nofollow noopener" target="_blank">#<span>opensource</span></a> in hopes of helping other <a href="https://hachyderm.io/tags/AI" class="mention hashtag" rel="nofollow noopener" target="_blank">#<span>AI</span></a> development -- and for AMD's part, hoping that the training and inferencing is happening from AMD hardware.<br>Both general and coding-optimized models have been released.<br>AMD-135M features speculative decoding and was trained from scratch using AMD Instinct MI250 accelerators with 670 billion tokens.<br><a href="https://www.tomshardware.com/tech-industry/artificial-intelligence/amd-unveils-its-first-small-language-model-amd-135m-ai-performance-enhanced-by-speculative-decoding" rel="nofollow noopener" translate="no" target="_blank"><span class="invisible">https://www.</span><span class="ellipsis">tomshardware.com/tech-industry</span><span class="invisible">/artificial-intelligence/amd-unveils-its-first-small-language-model-amd-135m-ai-performance-enhanced-by-speculative-decoding</span></a> <a href="https://hachyderm.io/tags/LLM" class="mention hashtag" rel="nofollow noopener" target="_blank">#<span>LLM</span></a></p>
Vladimir Savić<p>Hmmm ... 🤔</p><p><a href="https://mastodon.social/tags/AMD" class="mention hashtag" rel="nofollow noopener" target="_blank">#<span>AMD</span></a> unveils its first small language model AMD-135M community.amd.com/t5/ai/amd-un <a href="https://mastodon.social/tags/SLM" class="mention hashtag" rel="nofollow noopener" target="_blank">#<span>SLM</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/GenAI" class="mention hashtag" rel="nofollow noopener" target="_blank">#<span>GenAI</span></a></p>
jpmellojr<p>While large language AI models continue to make headlines, small language models are where the action is. At least, that’s what Meta appears to be betting on, according to a team of its research scientists. <a href="https://noc.social/tags/AI" class="mention hashtag" rel="nofollow noopener" target="_blank">#<span>AI</span></a> <a href="https://noc.social/tags/SmallLanguageModels" class="mention hashtag" rel="nofollow noopener" target="_blank">#<span>SmallLanguageModels</span></a> <a href="https://noc.social/tags/SLM" class="mention hashtag" rel="nofollow noopener" target="_blank">#<span>SLM</span></a> <a href="https://noc.social/tags/Meta" class="mention hashtag" rel="nofollow noopener" target="_blank">#<span>Meta</span></a><br><a href="https://tinyurl.com/mr3ja28s" rel="nofollow noopener" target="_blank"><span class="invisible">https://</span><span class="">tinyurl.com/mr3ja28s</span><span class="invisible"></span></a></p>
Alvin Ashcraft 🐿️<p>Unlocking the Potential of Phi-3 and C# in AI Development.</p><p><a href="https://hachyderm.io/tags/ai" class="mention hashtag" rel="nofollow noopener" target="_blank">#<span>ai</span></a> <a href="https://hachyderm.io/tags/dotnet" class="mention hashtag" rel="nofollow noopener" target="_blank">#<span>dotnet</span></a> <a href="https://hachyderm.io/tags/csharp" class="mention hashtag" rel="nofollow noopener" target="_blank">#<span>csharp</span></a> <a href="https://hachyderm.io/tags/phi3" class="mention hashtag" rel="nofollow noopener" target="_blank">#<span>phi3</span></a> <a href="https://hachyderm.io/tags/aimodels" class="mention hashtag" rel="nofollow noopener" target="_blank">#<span>aimodels</span></a> <a href="https://hachyderm.io/tags/slm" class="mention hashtag" rel="nofollow noopener" target="_blank">#<span>slm</span></a> <a href="https://hachyderm.io/tags/students" class="mention hashtag" rel="nofollow noopener" target="_blank">#<span>students</span></a> <a href="https://hachyderm.io/tags/learning" class="mention hashtag" rel="nofollow noopener" target="_blank">#<span>learning</span></a> <br><a href="https://techcommunity.microsoft.com/t5/educator-developer-blog/unlocking-the-potential-of-phi-3-and-c-in-ai-development/ba-p/4186439" rel="nofollow noopener" translate="no" target="_blank"><span class="invisible">https://</span><span class="ellipsis">techcommunity.microsoft.com/t5</span><span class="invisible">/educator-developer-blog/unlocking-the-potential-of-phi-3-and-c-in-ai-development/ba-p/4186439</span></a></p>
EVL Magazine<p>Supernova drops the single AlonE on DFTD this month, featuring SLM's tantalizing vocal cadence. <a href="https://mastodon.social/tags/music" class="mention hashtag" rel="nofollow noopener" target="_blank">#<span>music</span></a> <a href="https://mastodon.social/tags/supernova" class="mention hashtag" rel="nofollow noopener" target="_blank">#<span>supernova</span></a> <a href="https://mastodon.social/tags/alone" class="mention hashtag" rel="nofollow noopener" target="_blank">#<span>alone</span></a> <a href="https://mastodon.social/tags/slm" class="mention hashtag" rel="nofollow noopener" target="_blank">#<span>slm</span></a> <a href="https://mastodon.social/tags/dftd" class="mention hashtag" rel="nofollow noopener" target="_blank">#<span>dftd</span></a> </p><p><a href="https://evl.one/alone-by-supernova-featuring-slm" rel="nofollow noopener" translate="no" target="_blank"><span class="invisible">https://</span><span class="ellipsis">evl.one/alone-by-supernova-fea</span><span class="invisible">turing-slm</span></a></p>
Alvin Ashcraft 🐿️<p>Try out SLMs with Ollama in GitHub Codespaces.</p><p><a href="https://hachyderm.io/tags/ai" class="mention hashtag" rel="nofollow noopener" target="_blank">#<span>ai</span></a> <a href="https://hachyderm.io/tags/slm" class="mention hashtag" rel="nofollow noopener" target="_blank">#<span>slm</span></a> <a href="https://hachyderm.io/tags/ollama" class="mention hashtag" rel="nofollow noopener" target="_blank">#<span>ollama</span></a> <a href="https://hachyderm.io/tags/aimodels" class="mention hashtag" rel="nofollow noopener" target="_blank">#<span>aimodels</span></a> <a href="https://hachyderm.io/tags/github" class="mention hashtag" rel="nofollow noopener" target="_blank">#<span>github</span></a> <a href="https://hachyderm.io/tags/codespaces" class="mention hashtag" rel="nofollow noopener" target="_blank">#<span>codespaces</span></a> <a href="https://hachyderm.io/tags/csharp" class="mention hashtag" rel="nofollow noopener" target="_blank">#<span>csharp</span></a> <a href="https://hachyderm.io/tags/python" class="mention hashtag" rel="nofollow noopener" target="_blank">#<span>python</span></a> <br><a href="https://techcommunity.microsoft.com/t5/educator-developer-blog/try-out-slms-with-ollama-in-github-codespaces/ba-p/4171837" rel="nofollow noopener" translate="no" target="_blank"><span class="invisible">https://</span><span class="ellipsis">techcommunity.microsoft.com/t5</span><span class="invisible">/educator-developer-blog/try-out-slms-with-ollama-in-github-codespaces/ba-p/4171837</span></a></p>
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