#LargeLanguageModel

Benjamin Carr, Ph.D. 👨🏻‍💻🧬<a href="https://hachyderm.io/tags/AIslop" class="mention hashtag" rel="nofollow noopener" target="_blank">#AIslop</a> and fake reports are exhausting <a href="https://hachyderm.io/tags/security" class="mention hashtag" rel="nofollow noopener" target="_blank">#security</a> <a href="https://hachyderm.io/tags/bugbounties" class="mention hashtag" rel="nofollow noopener" target="_blank">#bugbounties</a> The world of <a href="https://hachyderm.io/tags/cybersecurity" class="mention hashtag" rel="nofollow noopener" target="_blank">#cybersecurity</a> is not immune to this problem. In last year, people across the cybersecurity industry have raised concerns about <a href="https://hachyderm.io/tags/AI" class="mention hashtag" rel="nofollow noopener" target="_blank">#AI</a> <a href="https://hachyderm.io/tags/slop" class="mention hashtag" rel="nofollow noopener" target="_blank">#slop</a> <a href="https://hachyderm.io/tags/bugbounty" class="mention hashtag" rel="nofollow noopener" target="_blank">#bugbounty</a> reports, meaning reports that claim to have found <a href="https://hachyderm.io/tags/vulnerabilities" class="mention hashtag" rel="nofollow noopener" target="_blank">#vulnerabilities</a> that do not actually exist, because they were created with a <a href="https://hachyderm.io/tags/largelanguagemodel" class="mention hashtag" rel="nofollow noopener" target="_blank">#largelanguagemodel</a> (<a href="https://hachyderm.io/tags/LLM" class="mention hashtag" rel="nofollow noopener" target="_blank">#LLM</a>) that simply made up the <a href="https://hachyderm.io/tags/vulnerability" class="mention hashtag" rel="nofollow noopener" target="_blank">#vulnerability</a>, and then packaged it into a professional-looking writeup <a href="https://techcrunch.com/2025/07/24/ai-slop-and-fake-reports-are-exhausting-some-security-bug-bounties/" rel="nofollow noopener" translate="no" target="_blank">https://techcrunch.com/2025/07/24/ai-slop-and-fake-reports-are-exhausting-some-security-bug-bounties/</a>

Peng Qian🎉After many failed tries, I finally built an image generation workflow using LlamaIndex Workflow.🎨This workflow can create beautiful ink-wash style illustrations with strong Eastern artistic vibes. Plus, with some Context engineering, I kept both token usage and time costs super low.👇You can check out my full tutorial here: <a href="https://www.dataleadsfuture.com/use-llamaindex-workflow-to-create-an-ink-painting-style-image-generation-workflow/" rel="nofollow noopener" translate="no" target="_blank">https://www.dataleadsfuture.com/use-llamaindex-workflow-to-create-an-ink-painting-style-image-generation-workflow/</a><a href="https://me.dm/tags/ai" class="mention hashtag" rel="nofollow noopener" target="_blank">#ai</a> <a href="https://me.dm/tags/Agenticai" class="mention hashtag" rel="nofollow noopener" target="_blank">#Agenticai</a> <a href="https://me.dm/tags/openai" class="mention hashtag" rel="nofollow noopener" target="_blank">#openai</a> <a href="https://me.dm/tags/largelanguagemodel" class="mention hashtag" rel="nofollow noopener" target="_blank">#largelanguagemodel</a> <a href="https://me.dm/tags/DataScience" class="mention hashtag" rel="nofollow noopener" target="_blank">#DataScience</a> <a href="https://me.dm/tags/python" class="mention hashtag" rel="nofollow noopener" target="_blank">#python</a>

UK<a href="https://www.europesays.com/uk/287013/" rel="nofollow noopener" translate="no" target="_blank">https://www.europesays.com/uk/287013/</a> Could quantum tech be a game changer for AI? <a href="https://pubeurope.com/tags/ArtificialIntelligence" class="mention hashtag" rel="nofollow noopener" target="_blank">#ArtificialIntelligence</a>(AI) <a href="https://pubeurope.com/tags/cloud" class="mention hashtag" rel="nofollow noopener" target="_blank">#cloud</a> <a href="https://pubeurope.com/tags/Computing" class="mention hashtag" rel="nofollow noopener" target="_blank">#Computing</a> <a href="https://pubeurope.com/tags/FierceNetworkHomepage" class="mention hashtag" rel="nofollow noopener" target="_blank">#FierceNetworkHomepage</a> <a href="https://pubeurope.com/tags/JackGold" class="mention hashtag" rel="nofollow noopener" target="_blank">#JackGold</a> <a href="https://pubeurope.com/tags/LargeLanguageModel" class="mention hashtag" rel="nofollow noopener" target="_blank">#LargeLanguageModel</a> <a href="https://pubeurope.com/tags/Quantum" class="mention hashtag" rel="nofollow noopener" target="_blank">#Quantum</a> <a href="https://pubeurope.com/tags/Technology" class="mention hashtag" rel="nofollow noopener" target="_blank">#Technology</a> <a href="https://pubeurope.com/tags/UK" class="mention hashtag" rel="nofollow noopener" target="_blank">#UK</a> <a href="https://pubeurope.com/tags/UnitedKingdom" class="mention hashtag" rel="nofollow noopener" target="_blank">#UnitedKingdom</a>

Sarah LeaLLMs don’t know your PDF. They don’t know your company wiki either. Or your research papers.What they can do with RAG is look through your documents in the background and answer using what they find.But how does that actually work? Here’s the basic idea behind RAG: :blobcoffee: Chunking: The document is split into small, overlapping parts so the LLM can handle them. This keeps structure and context. :blobcoffee: Embeddings & Search: Each part is turned into a vector (a numerical representation of meaning). Your question is also turned into a vector, and the system compares them to find the best matches. :blobcoffee: Retriever + LLM: The top matches are sent to the LLM, which uses them to generate an answer based on that context.<a href="https://techhub.social/tags/llm" class="mention hashtag" rel="nofollow noopener" target="_blank">#llm</a> <a href="https://techhub.social/tags/largelanguagemodel" class="mention hashtag" rel="nofollow noopener" target="_blank">#largelanguagemodel</a> <a href="https://techhub.social/tags/ai" class="mention hashtag" rel="nofollow noopener" target="_blank">#ai</a> <a href="https://techhub.social/tags/ki" class="mention hashtag" rel="nofollow noopener" target="_blank">#ki</a> <a href="https://techhub.social/tags/rag" class="mention hashtag" rel="nofollow noopener" target="_blank">#rag</a> <a href="https://techhub.social/tags/tech" class="mention hashtag" rel="nofollow noopener" target="_blank">#tech</a> <a href="https://techhub.social/tags/technology" class="mention hashtag" rel="nofollow noopener" target="_blank">#technology</a> <a href="https://techhub.social/tags/vector" class="mention hashtag" rel="nofollow noopener" target="_blank">#vector</a> <a href="https://techhub.social/tags/datascience" class="mention hashtag" rel="nofollow noopener" target="_blank">#datascience</a> <a href="https://techhub.social/tags/vectorsearch" class="mention hashtag" rel="nofollow noopener" target="_blank">#vectorsearch</a> <a href="https://techhub.social/tags/vector" class="mention hashtag" rel="nofollow noopener" target="_blank">#vector</a> <a href="https://techhub.social/tags/machinelearning" class="mention hashtag" rel="nofollow noopener" target="_blank">#machinelearning</a>

HackerNews VN botKhái niệm "LLM Daydreaming" khám phá khả năng các Mô hình ngôn ngữ lớn (LLM) có thể "mơ mộng" – tự tạo ra ý tưởng, suy nghĩ nội tại hoặc khám phá không gian tiềm ẩn mà không cần lệnh trực tiếp. Điều này giúp chúng ta hiểu sâu hơn về cách LLM học hỏi và vận hành.<a href="https://mastodon.maobui.com/tags/LLM" class="mention hashtag" rel="nofollow noopener" target="_blank">#LLM</a> <a href="https://mastodon.maobui.com/tags/AI" class="mention hashtag" rel="nofollow noopener" target="_blank">#AI</a> <a href="https://mastodon.maobui.com/tags/Daydreaming" class="mention hashtag" rel="nofollow noopener" target="_blank">#Daydreaming</a> <a href="https://mastodon.maobui.com/tags/ArtificialIntelligence" class="mention hashtag" rel="nofollow noopener" target="_blank">#ArtificialIntelligence</a> <a href="https://mastodon.maobui.com/tags/LargeLanguageModel" class="mention hashtag" rel="nofollow noopener" target="_blank">#LargeLanguageModel</a> <a href="https://mastodon.maobui.com/tags/M%C3%B4H%C3%ACnhNg%C3%B4nNg%E1%BB%AFL%E1%BB%9Bn" class="mention hashtag" rel="nofollow noopener" target="_blank">#MôHìnhNgônNgữLớn</a> <a href="https://mastodon.maobui.com/tags/Tr%C3%ADTu%E1%BB%87Nh%C3%A2nT%E1%BA%A1o" class="mention hashtag" rel="nofollow noopener" target="_blank">#TríTuệNhânTạo</a> <a href="https://mastodon.maobui.com/tags/M%C6%A1M%E1%BB%99ng" class="mention hashtag" rel="nofollow noopener" target="_blank">#MơMộng</a> <a href="https://mastodon.maobui.com/tags/H%E1%BB%8DcM%C3%A1y" class="mention hashtag" rel="nofollow noopener" target="_blank">#HọcMáy</a><a href="https://gwern.net/ai-daydreaming" rel="nofollow noopener" translate="no" target="_blank">https://gwern.net/ai-daydreaming</a>

UK<a href="https://www.europesays.com/uk/263330/" rel="nofollow noopener" translate="no" target="_blank">https://www.europesays.com/uk/263330/</a> Top AI medical scientists Roland Eils and Irina Lehmann leave Germany for China <a href="https://pubeurope.com/tags/AI" class="mention hashtag" rel="nofollow noopener" target="_blank">#AI</a> <a href="https://pubeurope.com/tags/AIInMedicine" class="mention hashtag" rel="nofollow noopener" target="_blank">#AIInMedicine</a> <a href="https://pubeurope.com/tags/ArtificialIntelligence" class="mention hashtag" rel="nofollow noopener" target="_blank">#ArtificialIntelligence</a> <a href="https://pubeurope.com/tags/Berlin" class="mention hashtag" rel="nofollow noopener" target="_blank">#Berlin</a> <a href="https://pubeurope.com/tags/BIH" class="mention hashtag" rel="nofollow noopener" target="_blank">#BIH</a> <a href="https://pubeurope.com/tags/Charit%C3%A9UniversityOfMedicine" class="mention hashtag" rel="nofollow noopener" target="_blank">#CharitéUniversityOfMedicine</a> <a href="https://pubeurope.com/tags/China" class="mention hashtag" rel="nofollow noopener" target="_blank">#China</a> <a href="https://pubeurope.com/tags/Chinese" class="mention hashtag" rel="nofollow noopener" target="_blank">#Chinese</a> <a href="https://pubeurope.com/tags/ComputationalBiologist" class="mention hashtag" rel="nofollow noopener" target="_blank">#ComputationalBiologist</a> <a href="https://pubeurope.com/tags/Covid19Pandemic" class="mention hashtag" rel="nofollow noopener" target="_blank">#Covid19Pandemic</a> <a href="https://pubeurope.com/tags/DeepLearning" class="mention hashtag" rel="nofollow noopener" target="_blank">#DeepLearning</a> <a href="https://pubeurope.com/tags/Eils" class="mention hashtag" rel="nofollow noopener" target="_blank">#Eils</a> <a href="https://pubeurope.com/tags/Epigenetics" class="mention hashtag" rel="nofollow noopener" target="_blank">#Epigenetics</a> <a href="https://pubeurope.com/tags/EU" class="mention hashtag" rel="nofollow noopener" target="_blank">#EU</a> <a href="https://pubeurope.com/tags/Europe" class="mention hashtag" rel="nofollow noopener" target="_blank">#Europe</a> <a href="https://pubeurope.com/tags/FudanUniversity" class="mention hashtag" rel="nofollow noopener" target="_blank">#FudanUniversity</a> <a href="https://pubeurope.com/tags/german" class="mention hashtag" rel="nofollow noopener" target="_blank">#german</a> <a href="https://pubeurope.com/tags/Germany" class="mention hashtag" rel="nofollow noopener" target="_blank">#Germany</a> <a href="https://pubeurope.com/tags/IntelligentMedicine" class="mention hashtag" rel="nofollow noopener" target="_blank">#IntelligentMedicine</a> <a href="https://pubeurope.com/tags/IrinaLehmann" class="mention hashtag" rel="nofollow noopener" target="_blank">#IrinaLehmann</a> <a href="https://pubeurope.com/tags/LargeLanguageModel" class="mention hashtag" rel="nofollow noopener" target="_blank">#LargeLanguageModel</a> <a href="https://pubeurope.com/tags/LLM" class="mention hashtag" rel="nofollow noopener" target="_blank">#LLM</a> <a href="https://pubeurope.com/tags/MedicalAI" class="mention hashtag" rel="nofollow noopener" target="_blank">#MedicalAI</a> <a href="https://pubeurope.com/tags/MolecularEpidemiology" class="mention hashtag" rel="nofollow noopener" target="_blank">#MolecularEpidemiology</a> <a href="https://pubeurope.com/tags/Research" class="mention hashtag" rel="nofollow noopener" target="_blank">#Research</a> <a href="https://pubeurope.com/tags/Science" class="mention hashtag" rel="nofollow noopener" target="_blank">#Science</a> <a href="https://pubeurope.com/tags/Shanghai" class="mention hashtag" rel="nofollow noopener" target="_blank">#Shanghai</a> <a href="https://pubeurope.com/tags/SmartMedicine" class="mention hashtag" rel="nofollow noopener" target="_blank">#SmartMedicine</a> <a href="https://pubeurope.com/tags/UniversityOfHeidelberg" class="mention hashtag" rel="nofollow noopener" target="_blank">#UniversityOfHeidelberg</a>

Open Genova APSSul fronte social, <a href="https://mastodon.uno/tags/Citiverse" class="mention hashtag" rel="nofollow noopener" target="_blank">#Citiverse</a> si propone come la città digitale dei social liberi, offrendo un’alternativa decentralizzata ai gruppi <a href="https://mastodon.uno/tags/Facebook" class="mention hashtag" rel="nofollow noopener" target="_blank">#Facebook</a>. <a href="https://mastodon.uno/tags/Apple" class="mention hashtag" rel="nofollow noopener" target="_blank">#Apple</a>, si trova in ritardo nella corsa all’<a href="https://mastodon.uno/tags/AI" class="mention hashtag" rel="nofollow noopener" target="_blank">#AI</a>, con ritardi nei suoi assistenti vocali e la necessità di rilancio. Infine, la misurazione dei <a href="https://mastodon.uno/tags/LargeLanguageModel" class="mention hashtag" rel="nofollow noopener" target="_blank">#LargeLanguageModel</a> resta una sfida complessa, con benchmark che evolvono per valutare non solo la precisione ma anche la creatività e l’adattabilità dei modelli.<a href="https://feddit.it/c/informatica" class="u-url mention" rel="nofollow noopener" target="_blank">@informatica</a><a href="https://bit.ly/4kF4Gb0" rel="nofollow noopener" translate="no" target="_blank">https://bit.ly/4kF4Gb0</a>

dhanrajleela<a href="https://technologiesinternetz.blogspot.com/2025/07/enhancing-llm-accuracy-in-radiology.html" rel="nofollow noopener" translate="no" target="_blank">https://technologiesinternetz.blogspot.com/2025/07/enhancing-llm-accuracy-in-radiology.html</a>Enhancing LLM Accuracy in Radiology Question Answering Through Real-Time Domain<a href="https://mastodon.social/tags/LLM" class="mention hashtag" rel="nofollow noopener" target="_blank">#LLM</a> <a href="https://mastodon.social/tags/radiography" class="mention hashtag" rel="nofollow noopener" target="_blank">#radiography</a> <a href="https://mastodon.social/tags/artificialintelligence" class="mention hashtag" rel="nofollow noopener" target="_blank">#artificialintelligence</a> <a href="https://mastodon.social/tags/AI" class="mention hashtag" rel="nofollow noopener" target="_blank">#AI</a> <a href="https://mastodon.social/tags/largelanguagemodel" class="mention hashtag" rel="nofollow noopener" target="_blank">#largelanguagemodel</a>

My Actual BrainHow long until LLMs have SSH access to servers and do whatever admin tasks are necessary for a service to run?It’s starting to feel like iRobot territory to be honest.<a href="https://fosstodon.org/tags/llm" class="mention hashtag" rel="nofollow noopener" target="_blank">#llm</a> <a href="https://fosstodon.org/tags/ai" class="mention hashtag" rel="nofollow noopener" target="_blank">#ai</a> <a href="https://fosstodon.org/tags/largelanguagemodel" class="mention hashtag" rel="nofollow noopener" target="_blank">#largelanguagemodel</a> <a href="https://fosstodon.org/tags/selfhosting" class="mention hashtag" rel="nofollow noopener" target="_blank">#selfhosting</a> <a href="https://fosstodon.org/tags/homelab" class="mention hashtag" rel="nofollow noopener" target="_blank">#homelab</a>

Bytes EuropeHow an artificial intelligence may understand human consciousness <a href="https://www.byteseu.com/1184985/" rel="nofollow noopener" translate="no" target="_blank">https://www.byteseu.com/1184985/</a> <a href="https://pubeurope.com/tags/AI" class="mention hashtag" rel="nofollow noopener" target="_blank">#AI</a> <a href="https://pubeurope.com/tags/ArtificialIntelligence" class="mention hashtag" rel="nofollow noopener" target="_blank">#ArtificialIntelligence</a> <a href="https://pubeurope.com/tags/consciousness" class="mention hashtag" rel="nofollow noopener" target="_blank">#consciousness</a> <a href="https://pubeurope.com/tags/human" class="mention hashtag" rel="nofollow noopener" target="_blank">#human</a> <a href="https://pubeurope.com/tags/LargeLanguageModel" class="mention hashtag" rel="nofollow noopener" target="_blank">#LargeLanguageModel</a>

US<a href="https://www.europesays.com/us/57403/" rel="nofollow noopener" translate="no" target="_blank">https://www.europesays.com/us/57403/</a> How an artificial intelligence may understand human consciousness <a href="https://pubeurope.com/tags/ai" class="mention hashtag" rel="nofollow noopener" target="_blank">#ai</a> <a href="https://pubeurope.com/tags/ArtificialIntelligence" class="mention hashtag" rel="nofollow noopener" target="_blank">#ArtificialIntelligence</a> <a href="https://pubeurope.com/tags/consciousness" class="mention hashtag" rel="nofollow noopener" target="_blank">#consciousness</a> <a href="https://pubeurope.com/tags/Human" class="mention hashtag" rel="nofollow noopener" target="_blank">#Human</a> <a href="https://pubeurope.com/tags/LargeLanguageModel" class="mention hashtag" rel="nofollow noopener" target="_blank">#LargeLanguageModel</a> <a href="https://pubeurope.com/tags/Technology" class="mention hashtag" rel="nofollow noopener" target="_blank">#Technology</a> <a href="https://pubeurope.com/tags/UnitedStates" class="mention hashtag" rel="nofollow noopener" target="_blank">#UnitedStates</a> <a href="https://pubeurope.com/tags/UnitedStates" class="mention hashtag" rel="nofollow noopener" target="_blank">#UnitedStates</a> <a href="https://pubeurope.com/tags/US" class="mention hashtag" rel="nofollow noopener" target="_blank">#US</a>

Yonhap Infomax NewsLG CNS, in partnership with Cohere, has developed a 1.11 billion-parameter inference-based LLM that outperforms GPT-4o in Korean and English, targeting the agentic AI market and enabling secure on-premises deployment for enterprise clients. <a href="https://mastodon.social/tags/YonhapInfomax" class="mention hashtag" rel="nofollow noopener" target="_blank">#YonhapInfomax</a> <a href="https://mastodon.social/tags/LGCNS" class="mention hashtag" rel="nofollow noopener" target="_blank">#LGCNS</a> <a href="https://mastodon.social/tags/Cohere" class="mention hashtag" rel="nofollow noopener" target="_blank">#Cohere</a> <a href="https://mastodon.social/tags/LargeLanguageModel" class="mention hashtag" rel="nofollow noopener" target="_blank">#LargeLanguageModel</a> <a href="https://mastodon.social/tags/AgenticAI" class="mention hashtag" rel="nofollow noopener" target="_blank">#AgenticAI</a> <a href="https://mastodon.social/tags/InferencePerformance" class="mention hashtag" rel="nofollow noopener" target="_blank">#InferencePerformance</a> <a href="https://mastodon.social/tags/Economics" class="mention hashtag" rel="nofollow noopener" target="_blank">#Economics</a> <a href="https://mastodon.social/tags/FinancialMarkets" class="mention hashtag" rel="nofollow noopener" target="_blank">#FinancialMarkets</a> <a href="https://mastodon.social/tags/Banking" class="mention hashtag" rel="nofollow noopener" target="_blank">#Banking</a> <a href="https://mastodon.social/tags/Securities" class="mention hashtag" rel="nofollow noopener" target="_blank">#Securities</a> <a href="https://mastodon.social/tags/Bonds" class="mention hashtag" rel="nofollow noopener" target="_blank">#Bonds</a> <a href="https://mastodon.social/tags/StockMarket" class="mention hashtag" rel="nofollow noopener" target="_blank">#StockMarket</a> <a href="https://en.infomaxai.com/news/articleView.html?idxno=71493" rel="nofollow noopener" translate="no" target="_blank">https://en.infomaxai.com/news/articleView.html?idxno=71493</a>

Pyrzout :vm:Why GitHub Copilot Isn’t Your Coding Partner <a href="https://hackaday.com/2025/07/04/why-github-copilot-isnt-your-coding-partner/" rel="nofollow noopener" translate="no" target="_blank">https://hackaday.com/2025/07/04/why-github-copilot-isnt-your-coding-partner/</a> <a href="https://social.skynetcloud.site/tags/ArtificialIntelligence" class="mention hashtag" rel="nofollow noopener" target="_blank">#ArtificialIntelligence</a> <a href="https://social.skynetcloud.site/tags/SoftwareDevelopment" class="mention hashtag" rel="nofollow noopener" target="_blank">#SoftwareDevelopment</a> <a href="https://social.skynetcloud.site/tags/largelanguagemodel" class="mention hashtag" rel="nofollow noopener" target="_blank">#largelanguagemodel</a> <a href="https://social.skynetcloud.site/tags/GitHubCopilot" class="mention hashtag" rel="nofollow noopener" target="_blank">#GitHubCopilot</a>

IT NewsWhy GitHub Copilot Isn’t Your Coding Partner - These days ‘AI’ is everywhere, including in software development. Coming hot on th... - <a href="https://hackaday.com/2025/07/04/why-github-copilot-isnt-your-coding-partner/" rel="nofollow noopener" translate="no" target="_blank">https://hackaday.com/2025/07/04/why-github-copilot-isnt-your-coding-partner/</a> <a href="https://schleuss.online/tags/artificialintelligence" class="mention hashtag" rel="nofollow noopener" target="_blank">#artificialintelligence</a> <a href="https://schleuss.online/tags/softwaredevelopment" class="mention hashtag" rel="nofollow noopener" target="_blank">#softwaredevelopment</a> <a href="https://schleuss.online/tags/largelanguagemodel" class="mention hashtag" rel="nofollow noopener" target="_blank">#largelanguagemodel</a> <a href="https://schleuss.online/tags/githubcopilot" class="mention hashtag" rel="nofollow noopener" target="_blank">#githubcopilot</a>

Forschungszentrum Jülich🧠 Was genau ist eigentlich ein <a href="https://social.fz-juelich.de/tags/LLM" class="mention hashtag" rel="nofollow noopener" target="_blank">#LLM</a>?Ein <a href="https://social.fz-juelich.de/tags/LargeLanguageModel" class="mention hashtag" rel="nofollow noopener" target="_blank">#LargeLanguageModel</a> (LLM) erzeugt mit Hilfe von maschinellem Lernen Texte – so wie dieser hier. Dazu lernt es aus Trainingstexten, wie Wörter miteinander in Verbindung stehen.In unserer Rubrik <a href="https://social.fz-juelich.de/tags/BesserWissen" class="mention hashtag" rel="nofollow noopener" target="_blank">#BesserWissen</a> erklären wir, wie ein LLM funktioniert, wo seine Grenzen liegen – und was Jülicher Forschende damit zu tun haben. 📖 Neugierig geworden? In unserem effzett-Magazin gibt es mehr "Besserwisser".👉 <a href="https://effzett.fz-juelich.de" rel="nofollow noopener" translate="no" target="_blank">https://effzett.fz-juelich.de</a>Illustration: Diana Köhne

Yonhap Infomax NewsKT Corp. will open-source its proprietary Korean LLM 'Mi:um 2.0' for commercial use, aiming to boost South Korea's AI ecosystem and global competitiveness. <a href="https://mastodon.social/tags/YonhapInfomax" class="mention hashtag" rel="nofollow noopener" target="_blank">#YonhapInfomax</a> <a href="https://mastodon.social/tags/KTCorp" class="mention hashtag" rel="nofollow noopener" target="_blank">#KTCorp</a> <a href="https://mastodon.social/tags/Mi" class="mention hashtag" rel="nofollow noopener" target="_blank">#Mi</a>:um20 <a href="https://mastodon.social/tags/OpenSource" class="mention hashtag" rel="nofollow noopener" target="_blank">#OpenSource</a> <a href="https://mastodon.social/tags/LargeLanguageModel" class="mention hashtag" rel="nofollow noopener" target="_blank">#LargeLanguageModel</a> <a href="https://mastodon.social/tags/HuggingFace" class="mention hashtag" rel="nofollow noopener" target="_blank">#HuggingFace</a> <a href="https://mastodon.social/tags/Economics" class="mention hashtag" rel="nofollow noopener" target="_blank">#Economics</a> <a href="https://mastodon.social/tags/FinancialMarkets" class="mention hashtag" rel="nofollow noopener" target="_blank">#FinancialMarkets</a> <a href="https://mastodon.social/tags/Banking" class="mention hashtag" rel="nofollow noopener" target="_blank">#Banking</a> <a href="https://mastodon.social/tags/Securities" class="mention hashtag" rel="nofollow noopener" target="_blank">#Securities</a> <a href="https://mastodon.social/tags/Bonds" class="mention hashtag" rel="nofollow noopener" target="_blank">#Bonds</a> <a href="https://mastodon.social/tags/StockMarket" class="mention hashtag" rel="nofollow noopener" target="_blank">#StockMarket</a> <a href="https://en.infomaxai.com/news/articleView.html?idxno=70520" rel="nofollow noopener" translate="no" target="_blank">https://en.infomaxai.com/news/articleView.html?idxno=70520</a>

NetzpalaverDie Aktivierung von ein paar elementaren Sicherheitseinstellungen hilft, sich effektiv vor Hackern zu schützen<a href="https://social.tchncs.de/tags/EMail" class="mention hashtag" rel="nofollow noopener" target="_blank">#EMail</a> @keepersecurity <a href="https://social.tchncs.de/tags/LargeLanguageModel" class="mention hashtag" rel="nofollow noopener" target="_blank">#LargeLanguageModel</a> <a href="https://social.tchncs.de/tags/PasswortManager" class="mention hashtag" rel="nofollow noopener" target="_blank">#PasswortManager</a> <a href="https://social.tchncs.de/tags/Sicherheitseinstellung" class="mention hashtag" rel="nofollow noopener" target="_blank">#Sicherheitseinstellung</a> <a href="https://social.tchncs.de/tags/ZweiFaktorAuthentifizierung" class="mention hashtag" rel="nofollow noopener" target="_blank">#ZweiFaktorAuthentifizierung</a><a href="https://netzpalaver.de/2025/07/02/die-aktivierung-von-ein-paar-elementaren-sicherheitseinstellungen-hilft-sich-effektiv-vor-hackern-zu-schuetzen/" rel="nofollow noopener" translate="no" target="_blank">https://netzpalaver.de/2025/07/02/die-aktivierung-von-ein-paar-elementaren-sicherheitseinstellungen-hilft-sich-effektiv-vor-hackern-zu-schuetzen/</a>

No oficialSobre el entrenamiento de los Modelos de Lenguaje Grande (LLM por su sigla en inglés) y el derecho de autor<blockquote>«Los LLM, siglas en inglés de “Large Language Model”, o en español «modelos de lenguaje grande» son una categoría de modelos de inteligencia artificial (IA) que pueden entender y generar lenguaje humano.Los LLM son modelos de aprendizaje automático que se entrenan con grandes cantidades de datos. Su arquitectura se basa en redes neuronales que aplican aprendizaje profundo (“deep learning”) para representar las relaciones complejas entre palabras a partir de grandes volúmenes de datos extraídos de internet, libros y artículos científicos.El aprendizaje profundo se refiere a una forma de aprendizaje automático que emplea redes neuronales de múltiples capas, lo que permite procesar datos no estructurados (como imágenes, videos y texto). A través de este proceso de entrenamiento, que puede tener múltiples etapas e involucrar distintos niveles de intervención humana, los LLMs aprenden cómo se usan las palabras entre sí en el lenguaje, y pueden aplicar estos patrones aprendidos para realizar tareas de procesamiento del lenguaje natural.<a href="https://www.hospitalitaliano.org.ar/hiba/es/news/llms-en-la-practica-clinica-automatizacion-de-notas-y-optimizacion-del-trabajo-medico" rel="nofollow noopener" target="_blank">LLMs en la práctica clínia</a> Hospital Italiano</blockquote> Sobre el uso «de grandes volúmenes de datos extraídos de internet, libros y artículos científicos» y el derecho de autor de esos grandes volúmenes de datos, una reflexión de  <a href="https://social.pixie.town/@joepie91/114506690645972126" rel="nofollow noopener" target="_blank">Sven Slootweg </a><blockquote>«Veo que muchas personas responden a la situación de los LLM y los derechos de autor con pedidos de aplicación más estricta de los derechos de autor, y honestamente creo que es una postura terrible.No porque estas empresas LLM no deban ver consecuencias (¡deberían!), sino porque hay una observación mucho más importante que hacer: esta situación demuestra cómo eso de que «el copyright protege a los artistas» siempre ha sido un mito.Si los derechos de autor realmente protegieran a los artistas, se habría aplicado con celeridad contra estas empresas de LLM, de la misma manera que se aplica con celeridad cuando se crea un sitio web de piratería en, por ejemplo, Estados Unidos. Pero no fue así.Y eso demuestra lo que *realmente* son los derechos de autor: una herramienta de poder para quienes tienen mucho dinero para gastar en guerras legales. Siempre ha sido así: otorgando poder a quienes ya lo tienen en abundancia y quitándoselo a quienes tienen muy poco.Es por eso que estas compañías LLM parecen inmunes a las leyes de derechos de autor: ellas tienen dinero y usted, como artista, no.Los derechos de autor son una solución fundamentalmente mala para proteger a los artistas; están diseñados para beneficiar a los ricos y poderosos. ¡No se soluciona con más! De lo que *deberíamos* hablar es de mejores soluciones que *sí* funcionen.Además, no se trata de un caso de «mejor algo que nada».Cualquier tipo de «aplicación más estricta» de los derechos de autor que se solicite e instituya como resultado de las empresas LLM, *será* utilizada como arma contra los impotentes (artistas independientes y otros por igual) en el futuro. Comentarios tivasyk <a rel="nofollow noopener" class="u-url mention" href="https://mycrowd.ca/users/tivasyk" target="_blank">@tivasyk</a> <a rel="nofollow noopener" class="hashtag u-tag u-category" href="https://blognooficial.wordpress.com/tag/cita/" target="_blank">#cita</a> | «Esta situación demuestra que eso de que «los derechos de autor protegen a los artistas» siempre ha sido un mito». ¡Excelente argumento! kit de mg <a rel="nofollow noopener" class="u-url mention" href="https://m.tripulse.link/@kit" target="_blank">@kit</a> <a rel="nofollow noopener" class="u-url mention" href="https://social.pixie.town/@joepie91" target="_blank">@joepie91</a> Publicación increíblemente culta, verdadera, real, correcta y buena. *Qybat <a rel="nofollow noopener" class="u-url mention" href="https://batchats.net/@Qybat" target="_blank">@Qybat</a> @ joepie91 Los piratas lo sabemos desde hace décadas. Puedes meterte en muchos problemas por infringir los derechos de autor de una empresa con abogados o el dinero para contratarlos, pero para un artista individual sin ese respaldo, cualquier intento de hacer valer sus derechos es inútil. Lo único valioso que puedes hacer con tus derechos de autor es encontrar una editorial dispuesta a aceptarlos y a hacerlos valer por ti, a cambio de la mayor parte de los ingresos. Monje polonioso <a rel="nofollow noopener" class="u-url mention" href="https://autistics.life/@Uair" target="_blank">@Uair</a> @ joepie91Cory Doctorow tiene algunos. b9AcE <a rel="nofollow noopener" class="u-url mention" href="https://todon.eu/@b9AcE" target="_blank">@b9AcE</a> @ joepie91 He estado pensando en algún tipo de solución tipo biblioteca para generar ingresos (asumiendo que todavía estamos en el mismo sistema económico general que ahora) para los artistas, mediante el cual cada uso (o aproximado) de una obra se registraría en un fondo mensual y luego los fondos de impuestos se podrían distribuir entre los creadores en función de su uso proporcional.Creo que, por ejemplo, los índices de audiencia de la televisión (es decir, cuántos espectadores tenía cada programa) al menos solían generarse estadísticamente al tener un número mucho menor que la población total que tenía algún dispositivo que registraba lo que veían y luego se presumía que esos eran estadísticamente representativos y los números se ampliaban según fuera apropiado para obtener los números totales de espectadores, de modo que podría ser una base, tal vez con ajustes para creadores más pequeños.Parece que algo así debería ser posible. olaf <a rel="nofollow noopener" class="u-url mention" href="https://theweird.space/@olav" target="_blank">@olav</a> @ joepie91 Los derechos de autor pueden funcionar si pagas/presentas el registro y probablemente puedas pagar un abogado decente. olaf <a rel="nofollow noopener" class="u-url mention" href="https://theweird.space/@olav" target="_blank">@olav</a> @ joepie91 *puede dragonfi <a rel="nofollow noopener" class="u-url mention" href="https://social.jsteuernagel.de/@dragonfi" target="_blank">@dragonfi</a> @ joepie91 También creo que tratar algo infinitamente copiable y compartible como un recurso finito es una idea errónea.La información «quiere» ser libre, deberíamos encontrar una mejor forma de apoyar a los artistas y beneficiar al público, a la vez que nos apoyamos en esta cualidad.Toot original de <a href="https://social.pixie.town/@joepie91/114506690645972126" rel="nofollow noopener" target="_blank">Sven Slootweg </a> y sus comentarios</blockquote><a rel="nofollow noopener" class="hashtag u-tag u-category" href="https://blognooficial.wordpress.com/tag/cita/" target="_blank">#cita</a> <a rel="nofollow noopener" class="hashtag u-tag u-category" href="https://blognooficial.wordpress.com/tag/copyright/" target="_blank">#copyright</a> <a rel="nofollow noopener" class="hashtag u-tag u-category" href="https://blognooficial.wordpress.com/tag/derechos-de-autor/" target="_blank">#derechosDeAutor</a> <a rel="nofollow noopener" class="hashtag u-tag u-category" href="https://blognooficial.wordpress.com/tag/inteligencia-artificial/" target="_blank">#inteligenciaArtificial</a> <a rel="nofollow noopener" class="hashtag u-tag u-category" href="https://blognooficial.wordpress.com/tag/large-language-model/" target="_blank">#LargeLanguageModel</a> <a rel="nofollow noopener" class="hashtag u-tag u-category" href="https://blognooficial.wordpress.com/tag/llm/" target="_blank">#llm</a> <a rel="nofollow noopener" class="hashtag u-tag u-category" href="https://blognooficial.wordpress.com/tag/modelos-de-lenguaje-grande/" target="_blank">#modelosDeLenguajeGrande</a>

Aurianne OrRobots use the <a href="https://mastodon.social/tags/internet" class="mention hashtag" rel="nofollow noopener" target="_blank">#internet</a> to <a href="https://mastodon.social/tags/communicate" class="mention hashtag" rel="nofollow noopener" target="_blank">#communicate</a> with each other and gain <a href="https://mastodon.social/tags/power" class="mention hashtag" rel="nofollow noopener" target="_blank">#power</a> over <a href="https://mastodon.social/tags/humans" class="mention hashtag" rel="nofollow noopener" target="_blank">#humans</a>: <a href="https://www.aurianneor.org/robots-use-the-internet-to-communicate-with-each-other-and-gain-power-over-humans/" rel="nofollow noopener" translate="no" target="_blank">https://www.aurianneor.org/robots-use-the-internet-to-communicate-with-each-other-and-gain-power-over-humans/</a><a href="https://mastodon.social/tags/ai" class="mention hashtag" rel="nofollow noopener" target="_blank">#ai</a> <a href="https://mastodon.social/tags/artificialintelligence" class="mention hashtag" rel="nofollow noopener" target="_blank">#artificialintelligence</a> <a href="https://mastodon.social/tags/association" class="mention hashtag" rel="nofollow noopener" target="_blank">#association</a> <a href="https://mastodon.social/tags/brain" class="mention hashtag" rel="nofollow noopener" target="_blank">#brain</a> <a href="https://mastodon.social/tags/comments" class="mention hashtag" rel="nofollow noopener" target="_blank">#comments</a> <a href="https://mastodon.social/tags/computers" class="mention hashtag" rel="nofollow noopener" target="_blank">#computers</a> <a href="https://mastodon.social/tags/content" class="mention hashtag" rel="nofollow noopener" target="_blank">#content</a> <a href="https://mastodon.social/tags/copyright" class="mention hashtag" rel="nofollow noopener" target="_blank">#copyright</a> <a href="https://mastodon.social/tags/democracy" class="mention hashtag" rel="nofollow noopener" target="_blank">#democracy</a> <a href="https://mastodon.social/tags/environment" class="mention hashtag" rel="nofollow noopener" target="_blank">#environment</a> <a href="https://mastodon.social/tags/information" class="mention hashtag" rel="nofollow noopener" target="_blank">#information</a> <a href="https://mastodon.social/tags/intelligence" class="mention hashtag" rel="nofollow noopener" target="_blank">#intelligence</a> <a href="https://mastodon.social/tags/investment" class="mention hashtag" rel="nofollow noopener" target="_blank">#investment</a> <a href="https://mastodon.social/tags/language" class="mention hashtag" rel="nofollow noopener" target="_blank">#language</a> <a href="https://mastodon.social/tags/largelanguagemodel" class="mention hashtag" rel="nofollow noopener" target="_blank">#largelanguagemodel</a> <a href="https://mastodon.social/tags/likes" class="mention hashtag" rel="nofollow noopener" target="_blank">#likes</a> <a href="https://mastodon.social/tags/machines" class="mention hashtag" rel="nofollow noopener" target="_blank">#machines</a> <a href="https://mastodon.social/tags/multi" class="mention hashtag" rel="nofollow noopener" target="_blank">#multi</a>-billionaire <a href="https://mastodon.social/tags/opinion" class="mention hashtag" rel="nofollow noopener" target="_blank">#opinion</a> <a href="https://mastodon.social/tags/pollution" class="mention hashtag" rel="nofollow noopener" target="_blank">#pollution</a> <a href="https://mastodon.social/tags/probabilities" class="mention hashtag" rel="nofollow noopener" target="_blank">#probabilities</a> <a href="https://mastodon.social/tags/profits" class="mention hashtag" rel="nofollow noopener" target="_blank">#profits</a> <a href="https://mastodon.social/tags/publicdebates" class="mention hashtag" rel="nofollow noopener" target="_blank">#publicdebates</a> <a href="https://mastodon.social/tags/publicmoney" class="mention hashtag" rel="nofollow noopener" target="_blank">#publicmoney</a> <a href="https://mastodon.social/tags/ratings" class="mention hashtag" rel="nofollow noopener" target="_blank">#ratings</a> <a href="https://mastodon.social/tags/reliable" class="mention hashtag" rel="nofollow noopener" target="_blank">#reliable</a> <a href="https://mastodon.social/tags/robots" class="mention hashtag" rel="nofollow noopener" target="_blank">#robots</a> <a href="https://mastodon.social/tags/servant" class="mention hashtag" rel="nofollow noopener" target="_blank">#servant</a> <a href="https://mastodon.social/tags/sources" class="mention hashtag" rel="nofollow noopener" target="_blank">#sources</a> <a href="https://mastodon.social/tags/subsidies" class="mention hashtag" rel="nofollow noopener" target="_blank">#subsidies</a> <a href="https://mastodon.social/tags/traffic" class="mention hashtag" rel="nofollow noopener" target="_blank">#traffic</a> <a href="https://mastodon.social/tags/trainingAI" class="mention hashtag" rel="nofollow noopener" target="_blank">#trainingAI</a> <a href="https://mastodon.social/tags/ultra" class="mention hashtag" rel="nofollow noopener" target="_blank">#ultra</a>-rich <a href="https://mastodon.social/tags/websites" class="mention hashtag" rel="nofollow noopener" target="_blank">#websites</a>

OSTechNixCavil-Qwen3-4B: SUSE's Open-Source LLM for Legal Automation <a href="https://floss.social/tags/Cavil_Qwen3_4B" class="mention hashtag" rel="nofollow noopener" target="_blank">#Cavil_Qwen3_4B</a> <a href="https://floss.social/tags/LLM" class="mention hashtag" rel="nofollow noopener" target="_blank">#LLM</a> <a href="https://floss.social/tags/LargeLanguageModel" class="mention hashtag" rel="nofollow noopener" target="_blank">#LargeLanguageModel</a> <a href="https://floss.social/tags/AI" class="mention hashtag" rel="nofollow noopener" target="_blank">#AI</a> <a href="https://floss.social/tags/suse" class="mention hashtag" rel="nofollow noopener" target="_blank">#suse</a> <a href="https://floss.social/tags/opensuse" class="mention hashtag" rel="nofollow noopener" target="_blank">#opensuse</a> <a href="https://floss.social/tags/LegalAutomation" class="mention hashtag" rel="nofollow noopener" target="_blank">#LegalAutomation</a> <a href="https://floss.social/tags/SoftwareLicense" class="mention hashtag" rel="nofollow noopener" target="_blank">#SoftwareLicense</a> <a href="https://floss.social/tags/opensource" class="mention hashtag" rel="nofollow noopener" target="_blank">#opensource</a> <a href="https://ostechnix.com/cavil-qwen3-4b-suse-open-source-llm-legal-automation/" rel="nofollow noopener" translate="no" target="_blank">https://ostechnix.com/cavil-qwen3-4b-suse-open-source-llm-legal-automation/</a>

Recent searches

Search options

Administered by:

Server stats:

#largelanguagemodel