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Xavier «X» Santolaria :verified_paw: :donor:<p>🥳 IBM Granite 3.2 is here! 💙 </p><p>➝ the new Granite 3.2 8B Instruct and Granite 3.2 2B Instruct offer experimental chain-of-thought reasoning capabilities.</p><p>➝ all new IBM Granite models are released open sourced under a permissive Apache 2.0 license.</p><p>➝ the models are now available on IBM watsonx.ai, <span class="h-card" translate="no"><a href="https://mas.to/@huggingface" class="u-url mention" rel="nofollow noopener noreferrer" target="_blank">@<span>huggingface</span></a></span>, <span class="h-card" translate="no"><a href="https://bird.makeup/users/ollama" class="u-url mention" rel="nofollow noopener noreferrer" target="_blank">@<span>ollama</span></a></span> , LMStudio, and Replicate.</p><p><a href="https://www.ibm.com/new/announcements/ibm-granite-3-2-open-source-reasoning-and-vision" rel="nofollow noopener noreferrer" translate="no" target="_blank"><span class="invisible">https://www.</span><span class="ellipsis">ibm.com/new/announcements/ibm-</span><span class="invisible">granite-3-2-open-source-reasoning-and-vision</span></a></p><p><a href="https://infosec.exchange/tags/ai" class="mention hashtag" rel="nofollow noopener noreferrer" target="_blank">#<span>ai</span></a> <a href="https://infosec.exchange/tags/tech" class="mention hashtag" rel="nofollow noopener noreferrer" target="_blank">#<span>tech</span></a> <a href="https://infosec.exchange/tags/ibm" class="mention hashtag" rel="nofollow noopener noreferrer" target="_blank">#<span>ibm</span></a> <a href="https://infosec.exchange/tags/llm" class="mention hashtag" rel="nofollow noopener noreferrer" target="_blank">#<span>llm</span></a> <a href="https://infosec.exchange/tags/watsonx" class="mention hashtag" rel="nofollow noopener noreferrer" target="_blank">#<span>watsonx</span></a> <a href="https://infosec.exchange/tags/opensource" class="mention hashtag" rel="nofollow noopener noreferrer" target="_blank">#<span>opensource</span></a></p>
tschigi<p>Das neue Jahr hält doch noch unerwartete Überraschungen bereit - darf so weitergehen. Wie wärs, Frau Bundesrätin Keller-Sutter? 😁</p><p><a href="https://swiss.social/tags/WatsonX" class="mention hashtag" rel="nofollow noopener noreferrer" target="_blank">#<span>WatsonX</span></a> <a href="https://swiss.social/tags/Schweiz" class="mention hashtag" rel="nofollow noopener noreferrer" target="_blank">#<span>Schweiz</span></a> <a href="https://swiss.social/tags/XBoykott" class="mention hashtag" rel="nofollow noopener noreferrer" target="_blank">#<span>XBoykott</span></a></p>
RS, Author, Novelist, Prosaist<p><span class="h-card" translate="no"><a href="https://mastodon.social/@mavu" class="u-url mention" rel="nofollow noopener noreferrer" target="_blank">@<span>mavu</span></a></span> </p><blockquote><p>AI [probably referring to a LLM] is not trained by professionals or a single end user, because it requires such huge amounts of input training data...</p></blockquote><p>You are correct and you are incorrect. </p><p>From scratch finding data for pattern matching is tough and requires high performance engines, trade-offs, and money. But we stand on the backs of giants. </p><p>There <em>are</em> trained <em>ethical</em> LLMs, certified to be so and deep pockets to back the assertion and the necessary curation. They are not necessarily free. From those seeds AIs can be built to do the things of which I speak. </p><p>If IBM can do it (and they do; having gone to the training and hard sell, I know), Apple Intelligence could be built and use Apple engines as infrastructure. Big Blue's giant Z mainframes, which are blades in pretty artwork boxed server racks, are performant due to their custom chips, virtual system management, tuned I/O structure, and multitasking software. Apple chips are performant, custom, and cheaper for the end user. Apple Intelligence is likely Apple's WatsonX App-Killer that'll make the difference, and most certainly runs on Apple hardware increasingly running on renewables. </p><p>My point isn't so much building LLMs from scratch, but applications built on a platform and then trained from private user data and via user curation. If I implied otherwise, I wasn't clear. Sorry. </p><p>I assume Apple's LLMs are ethical. I also assume that Apple is exposing AI APIs for use by developers.</p><p><a href="https://eldritch.cafe/tags/BoostingIsSharing" class="mention hashtag" rel="nofollow noopener noreferrer" target="_blank">#<span>BoostingIsSharing</span></a></p><p><a href="https://eldritch.cafe/tags/LLM" class="mention hashtag" rel="nofollow noopener noreferrer" target="_blank">#<span>LLM</span></a> <a href="https://eldritch.cafe/tags/Ibmz" class="mention hashtag" rel="nofollow noopener noreferrer" target="_blank">#<span>Ibmz</span></a> <a href="https://eldritch.cafe/tags/AI" class="mention hashtag" rel="nofollow noopener noreferrer" target="_blank">#<span>AI</span></a> <a href="https://eldritch.cafe/tags/genAI" class="mention hashtag" rel="nofollow noopener noreferrer" target="_blank">#<span>genAI</span></a> <a href="https://eldritch.cafe/tags/ethics" class="mention hashtag" rel="nofollow noopener noreferrer" target="_blank">#<span>ethics</span></a> <a href="https://eldritch.cafe/tags/watsonx" class="mention hashtag" rel="nofollow noopener noreferrer" target="_blank">#<span>watsonx</span></a> <a href="https://eldritch.cafe/tags/ibm" class="mention hashtag" rel="nofollow noopener noreferrer" target="_blank">#<span>ibm</span></a> <a href="https://eldritch.cafe/tags/Apple" class="mention hashtag" rel="nofollow noopener noreferrer" target="_blank">#<span>Apple</span></a> <a href="https://eldritch.cafe/tags/intelligence" class="mention hashtag" rel="nofollow noopener noreferrer" target="_blank">#<span>intelligence</span></a> <a href="https://eldritch.cafe/tags/Writer" class="mention hashtag" rel="nofollow noopener noreferrer" target="_blank">#<span>Writer</span></a> <a href="https://eldritch.cafe/tags/Author" class="mention hashtag" rel="nofollow noopener noreferrer" target="_blank">#<span>Author</span></a> <a href="https://eldritch.cafe/tags/Fiction" class="mention hashtag" rel="nofollow noopener noreferrer" target="_blank">#<span>Fiction</span></a> <a href="https://eldritch.cafe/tags/WritingCommunity" class="mention hashtag" rel="nofollow noopener noreferrer" target="_blank">#<span>WritingCommunity</span></a> <a href="https://eldritch.cafe/tags/WritersOfMastodon" class="mention hashtag" rel="nofollow noopener noreferrer" target="_blank">#<span>WritersOfMastodon</span></a> <a href="https://eldritch.cafe/tags/Programmer" class="mention hashtag" rel="nofollow noopener noreferrer" target="_blank">#<span>Programmer</span></a> <a href="https://eldritch.cafe/tags/Program" class="mention hashtag" rel="nofollow noopener noreferrer" target="_blank">#<span>Program</span></a> <a href="https://eldritch.cafe/tags/Application" class="mention hashtag" rel="nofollow noopener noreferrer" target="_blank">#<span>Application</span></a> <a href="https://eldritch.cafe/tags/Code" class="mention hashtag" rel="nofollow noopener noreferrer" target="_blank">#<span>Code</span></a> <a href="https://eldritch.cafe/tags/Coding" class="mention hashtag" rel="nofollow noopener noreferrer" target="_blank">#<span>Coding</span></a></p><p>Cc: <span class="h-card" translate="no"><a href="https://blog.taursnd.haus/profile/vextaur" class="u-url mention" rel="nofollow noopener noreferrer" target="_blank">@<span>vextaur</span></a></span></p>
michabbb<p>🔹 <a href="https://social.vivaldi.net/tags/IBM" class="mention hashtag" rel="nofollow noopener noreferrer" target="_blank">#<span>IBM</span></a> <a href="https://social.vivaldi.net/tags/Granite" class="mention hashtag" rel="nofollow noopener noreferrer" target="_blank">#<span>Granite</span></a> 3.0 introduces new family of <a href="https://social.vivaldi.net/tags/opensource" class="mention hashtag" rel="nofollow noopener noreferrer" target="_blank">#<span>opensource</span></a> <a href="https://social.vivaldi.net/tags/AI" class="mention hashtag" rel="nofollow noopener noreferrer" target="_blank">#<span>AI</span></a> models, designed specifically for enterprise applications</p><p>🧠 New <a href="https://social.vivaldi.net/tags/LLM" class="mention hashtag" rel="nofollow noopener noreferrer" target="_blank">#<span>LLM</span></a> capabilities:<br>• Support for 12 languages and 116 programming languages<br>• Models ranging from sub-billion to 34B parameters<br>• Available under Apache 2.0 license<br>• Top performance in 15+ safety benchmarks</p><p>💻 Specialized versions include:<br>• <a href="https://social.vivaldi.net/tags/Granite" class="mention hashtag" rel="nofollow noopener noreferrer" target="_blank">#<span>Granite</span></a> for code: Focus on code generation &amp; explanation<br>• <a href="https://social.vivaldi.net/tags/Granite" class="mention hashtag" rel="nofollow noopener noreferrer" target="_blank">#<span>Granite</span></a> for time series: Optimized for forecasting<br>• Granite Guardian: Enterprise data security &amp; risk mitigation<br>• Geospatial model: Collaboration with <a href="https://social.vivaldi.net/tags/NASA" class="mention hashtag" rel="nofollow noopener noreferrer" target="_blank">#<span>NASA</span></a> for Earth observations</p><p>🛠️ Integration options:<br>• Available on <a href="https://social.vivaldi.net/tags/HuggingFace" class="mention hashtag" rel="nofollow noopener noreferrer" target="_blank">#<span>HuggingFace</span></a><br>• Deployable through <a href="https://social.vivaldi.net/tags/RedHat" class="mention hashtag" rel="nofollow noopener noreferrer" target="_blank">#<span>RedHat</span></a> Enterprise Linux AI<br>• Compatible with <a href="https://social.vivaldi.net/tags/watsonx" class="mention hashtag" rel="nofollow noopener noreferrer" target="_blank">#<span>watsonx</span></a> platform<br>• Supports tool-calling &amp; RAG workflows</p><p><a href="https://www.ibm.com/granite" rel="nofollow noopener noreferrer" translate="no" target="_blank"><span class="invisible">https://www.</span><span class="">ibm.com/granite</span><span class="invisible"></span></a></p>
Bytes Europe<p>Small Language Models – More Effective And Efficient For Enterprise AI <a href="https://www.byteseu.com/514296/" rel="nofollow noopener noreferrer" target="_blank"><span class="invisible">https://www.</span><span class="">byteseu.com/514296/</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/FoundationModel" class="mention hashtag" rel="nofollow noopener noreferrer" target="_blank">#<span>FoundationModel</span></a> <a href="https://pubeurope.com/tags/GenAI" class="mention hashtag" rel="nofollow noopener noreferrer" target="_blank">#<span>GenAI</span></a> <a href="https://pubeurope.com/tags/Granite3" class="mention hashtag" rel="nofollow noopener noreferrer" target="_blank">#<span>Granite3</span></a>.0 <a href="https://pubeurope.com/tags/IBM" class="mention hashtag" rel="nofollow noopener noreferrer" target="_blank">#<span>IBM</span></a> <a href="https://pubeurope.com/tags/LargeLanguageModel" class="mention hashtag" rel="nofollow noopener noreferrer" target="_blank">#<span>LargeLanguageModel</span></a> <a href="https://pubeurope.com/tags/NIM" class="mention hashtag" rel="nofollow noopener noreferrer" target="_blank">#<span>NIM</span></a> <a href="https://pubeurope.com/tags/Nvidia" class="mention hashtag" rel="nofollow noopener noreferrer" target="_blank">#<span>Nvidia</span></a> <a href="https://pubeurope.com/tags/SmallLanguageModel" class="mention hashtag" rel="nofollow noopener noreferrer" target="_blank">#<span>SmallLanguageModel</span></a> <a href="https://pubeurope.com/tags/watsonx" class="mention hashtag" rel="nofollow noopener noreferrer" target="_blank">#<span>watsonx</span></a></p>