'Variance-Aware Estimation of Kernel Mean Embedding', by Geoffrey Wolfer, Pierre Alquier.
http://jmlr.org/papers/v26/23-0161.html
#embeddings #embedding #empirical
'Variance-Aware Estimation of Kernel Mean Embedding', by Geoffrey Wolfer, Pierre Alquier.
http://jmlr.org/papers/v26/23-0161.html
#embeddings #embedding #empirical
Later this week, I am presenting the #ThatConference 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.
https://that.us/activities/5EI62c1gogbMFYMqilkP
#AI #Embedding #RAG #Python
Excited to share a series of periodic articles on the developments of TI Mindmap: 𝐖𝐡𝐚𝐭’𝐬 𝐧𝐞𝐰 𝐢𝐧 𝐓𝐈 𝐌𝐢𝐧𝐝𝐦𝐚𝐩, first issue.
Article and tool co-authored with Oleksiy Meletskiy.
New Features:Extract adversary tactics, techniques, and procedures
Tactics, techniques and procedures by execution time
Tactics, techniques and procedures timeline
AI Chat on your article
Mermaid live editor integration
PDF report
Tweet Mindmap
𝐇𝐨𝐰 𝐭𝐨 𝐠𝐞𝐭 𝐢𝐧𝐯𝐨𝐥𝐯𝐞𝐝
The project is open to external contributions.
To collaborate, please check the GitHub repository: https://github.com/format81/TI-Mindmap-GPT/
If you find TI Mindmap useful, please consider starring the repository on GitHub.
To learn more:
https://medium.com/@antonio.formato/whats-new-in-ti-mindmap-feb-2024-14cf3b383833
#timindmap #ti #mindmap #threatintelligence #llm #llmapp #openai #azureopenai #largelanguagemodel #cybersecurity #cyber #security #python #streamlit #infer #embedding #chat #ioc #mitre #ttp #cyberreport #report #mermaid #genai #generativeai #cyberthreatintelligence
#github #prompt #promptengineering #FewShotPrompting #gpt #gpt4
#api #DataVisualization #threat #infosec #threatreport #oai #analyst #soc #cert
i wish i knew more about comparing #embeddings. 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 #embedding space? #LLMs #LLM #AI #NLP
Our pick of the week by @mgaido91: "SONAR: Sentence-Level Multimodal and Language-Agnostic Representations" by Duquenne et al., 2023.
Multi-point Dimensionality Reduction to Improve Projection Layout Reliability
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.
But how do we make sense of stuff? How do we structure it in our minds? 1/n
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