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JMLR<p>'Variance-Aware Estimation of Kernel Mean Embedding', by Geoffrey Wolfer, Pierre Alquier.</p><p><a href="http://jmlr.org/papers/v26/23-0161.html" rel="nofollow noopener noreferrer" translate="no" target="_blank"><span class="invisible">http://</span><span class="ellipsis">jmlr.org/papers/v26/23-0161.ht</span><span class="invisible">ml</span></a> <br> <br><a href="https://sigmoid.social/tags/embeddings" class="mention hashtag" rel="nofollow noopener noreferrer" target="_blank">#<span>embeddings</span></a> <a href="https://sigmoid.social/tags/embedding" class="mention hashtag" rel="nofollow noopener noreferrer" target="_blank">#<span>embedding</span></a> <a href="https://sigmoid.social/tags/empirical" class="mention hashtag" rel="nofollow noopener noreferrer" target="_blank">#<span>empirical</span></a></p>
Joe Steinbring :laravel: :vue:<p>Later this week, I am presenting the <a href="https://jws.social/tags/thatconference" class="mention hashtag" rel="nofollow noopener noreferrer" target="_blank">#<span>ThatConference</span></a> Open Space "🦙 Crafting Intelligent Python Apps with Retrieval-Augmented Generation". If you missed the first time I did it, I would recommend checking it out. It is going to be over lunch on Friday.<br><br><a href="https://that.us/activities/5EI62c1gogbMFYMqilkP" rel="nofollow noopener noreferrer" target="_blank">https://that.us/activities/5EI62c1gogbMFYMqilkP</a><br><br><a href="https://jws.social/tags/ai" class="mention hashtag" rel="nofollow noopener noreferrer" target="_blank">#<span>AI</span></a> <a href="https://jws.social/tags/embedding" class="mention hashtag" rel="nofollow noopener noreferrer" target="_blank">#<span>Embedding</span></a> <a href="https://jws.social/tags/rag" class="mention hashtag" rel="nofollow noopener noreferrer" target="_blank">#<span>RAG</span></a> <a href="https://jws.social/tags/python" class="mention hashtag" rel="nofollow noopener noreferrer" target="_blank">#<span>Python</span></a></p>
F0rm4t<p>Excited to share a series of periodic articles on the developments of TI Mindmap: 𝐖𝐡𝐚𝐭’𝐬 𝐧𝐞𝐰 𝐢𝐧 𝐓𝐈 𝐌𝐢𝐧𝐝𝐦𝐚𝐩, first issue.<br>Article and tool co-authored with Oleksiy Meletskiy.</p><p>New Features:<br>➡Extract adversary tactics, techniques, and procedures<br>➡Tactics, techniques and procedures by execution time<br>➡Tactics, techniques and procedures timeline<br>➡AI Chat on your article<br>➡Mermaid live editor integration<br>➡PDF report<br>➡Tweet Mindmap</p><p>𝐇𝐨𝐰 𝐭𝐨 𝐠𝐞𝐭 𝐢𝐧𝐯𝐨𝐥𝐯𝐞𝐝<br>The project is open to external contributions.<br>To collaborate, please check the GitHub repository: <a href="https://github.com/format81/TI-Mindmap-GPT/" rel="nofollow noopener noreferrer" translate="no" target="_blank"><span class="invisible">https://</span><span class="ellipsis">github.com/format81/TI-Mindmap</span><span class="invisible">-GPT/</span></a><br>If you find TI Mindmap useful, please consider starring the repository on GitHub.</p><p>To learn more:<br><a href="https://medium.com/@antonio.formato/whats-new-in-ti-mindmap-feb-2024-14cf3b383833" rel="nofollow noopener noreferrer" translate="no" target="_blank"><span class="invisible">https://</span><span class="ellipsis">medium.com/@antonio.formato/wh</span><span class="invisible">ats-new-in-ti-mindmap-feb-2024-14cf3b383833</span></a></p><p><a href="https://infosec.exchange/tags/timindmap" class="mention hashtag" rel="nofollow noopener noreferrer" target="_blank">#<span>timindmap</span></a> <a href="https://infosec.exchange/tags/ti" class="mention hashtag" rel="nofollow noopener noreferrer" target="_blank">#<span>ti</span></a> <a href="https://infosec.exchange/tags/mindmap" class="mention hashtag" rel="nofollow noopener noreferrer" target="_blank">#<span>mindmap</span></a> <a href="https://infosec.exchange/tags/threatintelligence" class="mention hashtag" rel="nofollow noopener noreferrer" target="_blank">#<span>threatintelligence</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/llmapp" class="mention hashtag" rel="nofollow noopener noreferrer" target="_blank">#<span>llmapp</span></a> <a href="https://infosec.exchange/tags/openai" class="mention hashtag" rel="nofollow noopener noreferrer" target="_blank">#<span>openai</span></a> <a href="https://infosec.exchange/tags/azureopenai" class="mention hashtag" rel="nofollow noopener noreferrer" target="_blank">#<span>azureopenai</span></a> <a href="https://infosec.exchange/tags/largelanguagemodel" class="mention hashtag" rel="nofollow noopener noreferrer" target="_blank">#<span>largelanguagemodel</span></a> <a href="https://infosec.exchange/tags/cybersecurity" class="mention hashtag" rel="nofollow noopener noreferrer" target="_blank">#<span>cybersecurity</span></a> <a href="https://infosec.exchange/tags/cyber" class="mention hashtag" rel="nofollow noopener noreferrer" target="_blank">#<span>cyber</span></a> <a href="https://infosec.exchange/tags/security" class="mention hashtag" rel="nofollow noopener noreferrer" target="_blank">#<span>security</span></a> <a href="https://infosec.exchange/tags/python" class="mention hashtag" rel="nofollow noopener noreferrer" target="_blank">#<span>python</span></a> <a href="https://infosec.exchange/tags/streamlit" class="mention hashtag" rel="nofollow noopener noreferrer" target="_blank">#<span>streamlit</span></a> <a href="https://infosec.exchange/tags/infer" class="mention hashtag" rel="nofollow noopener noreferrer" target="_blank">#<span>infer</span></a> <a href="https://infosec.exchange/tags/embedding" class="mention hashtag" rel="nofollow noopener noreferrer" target="_blank">#<span>embedding</span></a> <a href="https://infosec.exchange/tags/chat" class="mention hashtag" rel="nofollow noopener noreferrer" target="_blank">#<span>chat</span></a> <a href="https://infosec.exchange/tags/ioc" class="mention hashtag" rel="nofollow noopener noreferrer" target="_blank">#<span>ioc</span></a> <a href="https://infosec.exchange/tags/mitre" class="mention hashtag" rel="nofollow noopener noreferrer" target="_blank">#<span>mitre</span></a> <a href="https://infosec.exchange/tags/ttp" class="mention hashtag" rel="nofollow noopener noreferrer" target="_blank">#<span>ttp</span></a> <a href="https://infosec.exchange/tags/cyberreport" class="mention hashtag" rel="nofollow noopener noreferrer" target="_blank">#<span>cyberreport</span></a> <a href="https://infosec.exchange/tags/report" class="mention hashtag" rel="nofollow noopener noreferrer" target="_blank">#<span>report</span></a> <a href="https://infosec.exchange/tags/mermaid" class="mention hashtag" rel="nofollow noopener noreferrer" target="_blank">#<span>mermaid</span></a> <a href="https://infosec.exchange/tags/genai" class="mention hashtag" rel="nofollow noopener noreferrer" target="_blank">#<span>genai</span></a> <a href="https://infosec.exchange/tags/generativeai" class="mention hashtag" rel="nofollow noopener noreferrer" target="_blank">#<span>generativeai</span></a> <a href="https://infosec.exchange/tags/cyberthreatintelligence" class="mention hashtag" rel="nofollow noopener noreferrer" target="_blank">#<span>cyberthreatintelligence</span></a><br><a href="https://infosec.exchange/tags/github" class="mention hashtag" rel="nofollow noopener noreferrer" target="_blank">#<span>github</span></a> <a href="https://infosec.exchange/tags/prompt" class="mention hashtag" rel="nofollow noopener noreferrer" target="_blank">#<span>prompt</span></a> <a href="https://infosec.exchange/tags/promptengineering" class="mention hashtag" rel="nofollow noopener noreferrer" target="_blank">#<span>promptengineering</span></a> <a href="https://infosec.exchange/tags/FewShotPrompting" class="mention hashtag" rel="nofollow noopener noreferrer" target="_blank">#<span>FewShotPrompting</span></a> <a href="https://infosec.exchange/tags/gpt" class="mention hashtag" rel="nofollow noopener noreferrer" target="_blank">#<span>gpt</span></a> <a href="https://infosec.exchange/tags/gpt4" class="mention hashtag" rel="nofollow noopener noreferrer" target="_blank">#<span>gpt4</span></a><br><a href="https://infosec.exchange/tags/api" class="mention hashtag" rel="nofollow noopener noreferrer" target="_blank">#<span>api</span></a> <a href="https://infosec.exchange/tags/DataVisualization" class="mention hashtag" rel="nofollow noopener noreferrer" target="_blank">#<span>DataVisualization</span></a> <a href="https://infosec.exchange/tags/threat" class="mention hashtag" rel="nofollow noopener noreferrer" target="_blank">#<span>threat</span></a> <a href="https://infosec.exchange/tags/infosec" class="mention hashtag" rel="nofollow noopener noreferrer" target="_blank">#<span>infosec</span></a> <a href="https://infosec.exchange/tags/threatreport" class="mention hashtag" rel="nofollow noopener noreferrer" target="_blank">#<span>threatreport</span></a> <a href="https://infosec.exchange/tags/oai" class="mention hashtag" rel="nofollow noopener noreferrer" target="_blank">#<span>oai</span></a> <a href="https://infosec.exchange/tags/analyst" class="mention hashtag" rel="nofollow noopener noreferrer" target="_blank">#<span>analyst</span></a> <a href="https://infosec.exchange/tags/soc" class="mention hashtag" rel="nofollow noopener noreferrer" target="_blank">#<span>soc</span></a> <a href="https://infosec.exchange/tags/cert" class="mention hashtag" rel="nofollow noopener noreferrer" target="_blank">#<span>cert</span></a></p>
Tim Kellogg<p>i wish i knew more about comparing <a href="https://hachyderm.io/tags/embeddings" class="mention hashtag" rel="nofollow noopener noreferrer" target="_blank">#<span>embeddings</span></a>. anyone have resources? one thing i’ve wondered is how to convert an embedding from a “point” to an “area” or “volume”. e.g. an embedding of a 5 paragraph essay will occupy a single point in embedding space, but if you broke it down (e.g. by paragraph), there would be several points and the whole would presumably be at the center. is there a way to trace the full space a text occupies in <a href="https://hachyderm.io/tags/embedding" class="mention hashtag" rel="nofollow noopener noreferrer" target="_blank">#<span>embedding</span></a> space? <a href="https://hachyderm.io/tags/LLMs" class="mention hashtag" rel="nofollow noopener noreferrer" target="_blank">#<span>LLMs</span></a> <a href="https://hachyderm.io/tags/LLM" class="mention hashtag" rel="nofollow noopener noreferrer" target="_blank">#<span>LLM</span></a> <a href="https://hachyderm.io/tags/AI" class="mention hashtag" rel="nofollow noopener noreferrer" target="_blank">#<span>AI</span></a> <a href="https://hachyderm.io/tags/NLP" class="mention hashtag" rel="nofollow noopener noreferrer" target="_blank">#<span>NLP</span></a></p>
MT Group at FBK<p>Our pick of the week by <span class="h-card"><a href="https://sigmoid.social/@mgaido91" class="u-url mention" rel="nofollow noopener noreferrer" target="_blank">@<span>mgaido91</span></a></span>: "SONAR: Sentence-Level Multimodal and Language-Agnostic Representations" by Duquenne et al., 2023.</p><p><a href="https://arxiv.org/pdf/2308.11466.pdf" rel="nofollow noopener noreferrer" target="_blank"><span class="invisible">https://</span><span class="">arxiv.org/pdf/2308.11466.pdf</span><span class="invisible"></span></a></p><p><a href="https://sigmoid.social/tags/NLP" class="mention hashtag" rel="nofollow noopener noreferrer" target="_blank">#<span>NLP</span></a> <a href="https://sigmoid.social/tags/NLProc" class="mention hashtag" rel="nofollow noopener noreferrer" target="_blank">#<span>NLProc</span></a> <a href="https://sigmoid.social/tags/language" class="mention hashtag" rel="nofollow noopener noreferrer" target="_blank">#<span>language</span></a> <a href="https://sigmoid.social/tags/representation" class="mention hashtag" rel="nofollow noopener noreferrer" target="_blank">#<span>representation</span></a> <a href="https://sigmoid.social/tags/multimodal" class="mention hashtag" rel="nofollow noopener noreferrer" target="_blank">#<span>multimodal</span></a> <a href="https://sigmoid.social/tags/embedding" class="mention hashtag" rel="nofollow noopener noreferrer" target="_blank">#<span>embedding</span></a></p>
New Submissions to TMLR<p>Multi-point Dimensionality Reduction to Improve Projection Layout Reliability</p><p><a href="https://openreview.net/forum?id=mSDlVLfXN6" rel="nofollow noopener noreferrer" target="_blank"><span class="invisible">https://</span><span class="ellipsis">openreview.net/forum?id=mSDlVL</span><span class="invisible">fXN6</span></a></p><p><a href="https://sigmoid.social/tags/embedding" class="mention hashtag" rel="nofollow noopener noreferrer" target="_blank">#<span>embedding</span></a> <a href="https://sigmoid.social/tags/vertex" class="mention hashtag" rel="nofollow noopener noreferrer" target="_blank">#<span>vertex</span></a> <a href="https://sigmoid.social/tags/dimensionality" class="mention hashtag" rel="nofollow noopener noreferrer" target="_blank">#<span>dimensionality</span></a></p>
Martin Hebart<p>Our visual world contains 𝕥𝕙𝕚𝕟𝕘𝕤, like plants, people, animals, or vehicles. But there is also 𝕤𝕥𝕦𝕗𝕗, what these things are made of, like glass, metal, or hair.</p><p>But how do we make sense of stuff? How do we structure it in our minds? 🧵 1/n</p><p><a href="https://psyarxiv.com/jz8ks" rel="nofollow noopener noreferrer" target="_blank"><span class="invisible">https://</span><span class="">psyarxiv.com/jz8ks</span><span class="invisible"></span></a></p><p><a href="https://fediscience.org/tags/psychology" class="mention hashtag" rel="nofollow noopener noreferrer" target="_blank">#<span>psychology</span></a> <a href="https://fediscience.org/tags/perception" class="mention hashtag" rel="nofollow noopener noreferrer" target="_blank">#<span>perception</span></a> <a href="https://fediscience.org/tags/vision" class="mention hashtag" rel="nofollow noopener noreferrer" target="_blank">#<span>vision</span></a> <a href="https://fediscience.org/tags/materials" class="mention hashtag" rel="nofollow noopener noreferrer" target="_blank">#<span>materials</span></a> <a href="https://fediscience.org/tags/embedding" class="mention hashtag" rel="nofollow noopener noreferrer" target="_blank">#<span>embedding</span></a></p>
FediTips has moved!<p>You can embed Mastodon posts on websites.</p><p>Go to the post you want to embed, click on "..." underneath it, then select "embed".</p><p>This will give you HTML code you can paste into wherever you want to embed the post.</p><p><a href="https://mstdn.social/tags/MastoTips" class="mention hashtag" rel="nofollow noopener noreferrer" target="_blank">#<span>MastoTips</span></a> <a href="https://mstdn.social/tags/Mastodon" class="mention hashtag" rel="nofollow noopener noreferrer" target="_blank">#<span>Mastodon</span></a> <a href="https://mstdn.social/tags/FediTips" class="mention hashtag" rel="nofollow noopener noreferrer" target="_blank">#<span>FediTips</span></a> <a href="https://mstdn.social/tags/Embedding" class="mention hashtag" rel="nofollow noopener noreferrer" target="_blank">#<span>Embedding</span></a></p>