Robuta

https://rubyllm.com/ RubyLLM | One beautiful Ruby framework for all major AI providers. Chat, images, embeddings, tools. A single, beautiful Ruby framework for all major AI providers. Easily build chatbots, AI agents, RAG applications, content generators, and every AI workflow... https://developers.googleblog.com/en/introducing-embeddinggemma/ Introducing EmbeddingGemma: The Best-in-Class Open Model for On-Device Embeddings - Google... Discover EmbeddingGemma, Google's new on-device embedding model designed for efficient on-device AI, enabling features like RAG and semantic search. best in class https://openreview.net/forum?id=rJgqFi5rOV SHREWD: Semantic Hierarchy Based Relational Embeddings For Weakly-Supervised Deep Hashing |... We propose a new method for training deep hashing for image retrieval using only a relational distance metric between samples shrewdsemantichierarchybasedrelational https://arxiv.org/abs/2506.06616 [2506.06616] Interpretable Depression Detection from Social Media Text Using LLM-Derived Embeddings Abstract page for arXiv paper 2506.06616: Interpretable Depression Detection from Social Media Text Using LLM-Derived Embeddings from social media https://go.carto.com/webinar-building-more-accurate-spatial-models-with-google-pdfm-embeddings-and-carto?hs_preview=rlvikRPZ-193654061432 Webinar | Building More Accurate Spatial Models with Google PDFM Embeddings and CARTO Learn how to improve the accuracy of your predictive models by integrating Google’s Population Dynamics Foundation Model (PDFM) embeddings in CARTO. Explore... building more https://maartengr.github.io/BERTopic/getting_started/embeddings/embeddings.html 1. Embeddings - BERTopic Leveraging BERT and a class-based TF-IDF to create easily interpretable topics. embeddingsbertopic https://www.ki.uni-stuttgart.de/institute/news/Faithful-Embeddings-for-EL-Knowledge-Bases-00007/?autoplay=true Faithful Embeddings for EL++ Knowledge Bases | Video | Institute for Artificial Intelligence |... Paper Lecture: Bo Xiong, Nico Potyka, Trung-Kien Tran, Mojtaba Nayyeri, Steffen Staab: Faithful Embeddings for EL++ Knowledge Bases. ISWC 2022: 22-38. Date:... knowledge basesfaithfulembeddingselvideo https://umu.diva-portal.org/smash/record.jsf?pid=diva2:1957439 Context matters: Understanding socially appropriate affective responses via sentence embeddings context mattersunderstandingsociallyappropriateaffective https://docs.opensearch.org/latest/tutorials/vector-search/vector-operations/generate-embeddings/ Generating embeddings from arrays of objects | OpenSearch Documentation This tutorial shows you how to generate embeddings for arrays of objects. For more information, see Generating embeddings automatically. generatingembeddingsarraysobjectsopensearch https://arxiv.org/abs/2506.00277 [2506.00277] Hierarchical Level-Wise News Article Clustering via Multilingual Matryoshka Embeddings Abstract page for arXiv paper 2506.00277: Hierarchical Level-Wise News Article Clustering via Multilingual Matryoshka Embeddings news article https://arxiv.org/abs/2603.03301 [2603.03301] From Exact Hits to Close Enough: Semantic Caching for LLM Embeddings Abstract page for arXiv paper 2603.03301: From Exact Hits to Close Enough: Semantic Caching for LLM Embeddings https://soil.copernicus.org/articles/5/177/2019/ SOIL - Word embeddings for application in geosciences: development, evaluation, and examples of... Abstract. A large amount of descriptive information is available in geosciences. This information is usually considered subjective and ill-favoured compared... word embeddings https://experts.illinois.edu/en/publications/enhancing-child-vocalization-classification-with-phonetically-tun/fingerprints/ Enhancing Child Vocalization Classification with Phonetically-Tuned Embeddings for Assisting Autism... enhancingchildclassification https://ai-gateway-embeddings-demo.labs.vercel.dev/ AI Gateway Embeddings Demo A simple Next.js chatbot app to demonstrate the use of embedding models through the Vercel AI Gateway for RAG. ai gatewayembeddingsdemo https://www.ideals.illinois.edu/items/123192 Machine learning in space forms: Embeddings, classification, and similarity comparisons | IDEALS machine learningspaceforms https://docs.cloud.google.com/alloydb/omni/containers/15.13.0/docs/ai/store-embeddings Store vector embeddings | AlloyDB Omni for containers: 15.13.0 | Google Cloud Documentation https://www.mathworks.com/help/audio/ug/compare-vggish-embeddings-block-with-equivalent-vggish-blocks-example.html Compare VGGish Embeddings Block with Equivalent VGGish Blocks - MATLAB & Simulink Show that VGGish Embeddings block is equivalent to the cascade of VGGish Preprocess block and VGGish block. compareembeddingsblockequivalentmatlab https://docs.cloud.google.com/alloydb/omni/kubernetes/18.1.0/docs/ai/model-endpoint-embeddings Generate vector embeddings with model endpoint management | AlloyDB Omni using the container... generate vector embeddingsendpoint management https://aws.amazon.com/blogs/publicsector/empowering-government-document-understanding-with-amazon-nova-multimodal-embeddings/ Empowering government document understanding with Amazon Nova Multimodal Embeddings | AWS Public... Dec 8, 2025 - Amazon Nova Multimodal Embeddings processes documents as complete units, capturing both textual content and visual elements in a unified embedding space. This... government documentamazon novamultimodal embeddingsempoweringunderstanding https://research.tudelft.nl/en/publications/designing-syntax-embeddings-and-assimilations-for-language-librar-2/ Designing Syntax Embeddings and Assimilations for Language Libraries - TU Delft Research Portal https://de.mathworks.com/help/vision/ref/clipnetwork.extracttextembeddings.html extractTextEmbeddings - Extract text embeddings from search text using CLIP network text encoder -... This MATLAB function extracts text embeddings from the search text text using the text encoder of a Contrastive Language-Image Pre-Training (CLIP) network,... extract textembeddingssearchusingclip https://laravel-news.com/ship-ai-with-laravel-rag-with-embeddings-and-pgvector-in-laravel-13 Ship AI with Laravel: RAG with Embeddings and pgvector in Laravel 13 - Laravel News Your agent looks up orders and remembers conversations but invents policies when customers ask about returns or shipping. In this episode we build a searchable... shipailaravelrag https://unimath.github.io/agda-unimath/group-theory.embeddings-abelian-groups.html Embeddings of abelian groups - agda-unimath A community-driven library of formalized mathematics from a univalent point of view using the dependently typed programming language Agda. embeddingsgroupsagda https://docs.digitalocean.com/products/knowledge-bases/details/knowledge-base-models/ Available Embeddings and Reranking Models for DigitalOcean Knowledge Bases | DigitalOcean... A list of the embeddings and reranking models available for Knowledge Bases. availableembeddingsrerankingmodelsdigitalocean https://arxiv.org/abs/2011.02570v2 [2011.02570v2] DUDE: Deep Unsigned Distance Embeddings for Hi-Fidelity Representation of Complex 3D... Abstract page for arXiv paper 2011.02570v2: DUDE: Deep Unsigned Distance Embeddings for Hi-Fidelity Representation of Complex 3D Surfaces https://msclogic.illc.uva.nl/theses/recent/publication/4975/Translational-Embeddings-via-Stable-Canonical-Rules Translational Embeddings via Stable Canonical Rules | Master of Logic translationalembeddingsviastablecanonical https://experts.arizona.edu/en/publications/colored-simultaneous-geometric-embeddings-and-universal-pointsets-2/ Colored simultaneous geometric embeddings and universal pointsets - University of Arizona university ofcoloredsimultaneousgeometricembeddings https://scholars.cityu.edu.hk/en/publications/neural-embeddings-of-scholarly-periodicals-reveal-complex-discipl/ Neural embeddings of scholarly periodicals reveal complex disciplinary organizations - CityUHK... neuralembeddingsscholarlyperiodicalsreveal https://developers.llamaindex.ai/python/framework/integrations/embeddings/openvino/ Local Embeddings with OpenVINO | Developer Documentation localembeddingsopenvinodeveloperdocumentation https://sbert.net/examples/sparse_encoder/applications/computing_embeddings/README.html Computing Sparse Embeddings — Sentence Transformers documentation computing sparse embeddingssentence transformersdocumentation https://arxiv.org/abs/2603.04741v1 [2603.04741v1] CONE: Embeddings for Complex Numerical Data Preserving Unit and Variable Semantics Abstract page for arXiv paper 2603.04741v1: CONE: Embeddings for Complex Numerical Data Preserving Unit and Variable Semantics https://aihub.hkuspace.hku.hk/2026/01/10/crossmodal-search-with-amazon-nova-multimodal-embeddings/ Crossmodal search with Amazon Nova Multimodal Embeddings - HKU SPACE AI Hub Jan 10, 2026 - Amazon Nova Multimodal Embeddings processes text, documents, images, video, and audio through a single model architecture. Available through Amazon Bedrock,... amazon novamultimodal embeddingscrossmodalsearch https://www.coursera.org/projects/vector-databases-from-embeddings-to-applications?authMode=login Vector Databases: from Embeddings to Applications Complete this Guided Project in under 2 hours. Vector databases play a pivotal role across various fields, such as natural language processing, image ... vector databasesembeddingsapplications https://tobias-lib.uni-tuebingen.de/xmlui/handle/10900/148723 Attraction-Repulsion Spectrum in Neighbor Embeddings attractionrepulsionspectrumneighborembeddings https://developers.llamaindex.ai/python/framework/integrations/embeddings/llamafile/ Llamafile Embeddings | Developer Documentation llamafileembeddingsdeveloperdocumentation https://h2r.cs.brown.edu/a-survey-of-robotic-language-grounding-tradeoffs-between-symbols-and-embeddings/ A Survey of Robotic Language Grounding: Tradeoffs between Symbols and Embeddings | Humans To Robots... With large language models, robots can understand language more flexibly and more capably than ever before. This survey reviews and situates recent literature... https://arxiv.org/abs/1809.10644v1 [1809.10644v1] Predictive Embeddings for Hate Speech Detection on Twitter Abstract page for arXiv paper 1809.10644v1: Predictive Embeddings for Hate Speech Detection on Twitter hate speechpredictiveembeddingsdetectiontwitter https://www.mdpi.com/2073-8994/17/4/496 Enhancing Cryptocurrency Security: Leveraging Embeddings and Large Language Models for Creating... In recent years, the rapid growth of cryptocurrency markets has highlighted the urgent need for advanced security solutions capable of addressing a spectrum of... large language modelscryptocurrency securityenhancingleveragingembeddings https://research.ibm.com/publications/improved-lower-bounds-for-embeddings-into-llessinfgreater1lessinfgreater Improved lower bounds for embeddings into L1 for SODA 2006 - IBM Research lower boundsimprovedembeddings https://collaborate.princeton.edu/en/publications/a-simple-but-tough-to-beat-baseline-for-sentence-embeddings/ A simple but tough-to-beat baseline for sentence embeddings - Princeton University https://www.illc.uva.nl/Research/Publications/Publications-by-year/publication/3271/Embeddings-of-Heyting-Algebras-superseded-by-ML-1995-06- Embeddings of Heyting Algebras (superseded by ML-1995-06) | Institute for Logic, Language and... https://arxiv.org/abs/2310.04878 [2310.04878] Hybrid Recommendation System using Graph Neural Network and BERT Embeddings Abstract page for arXiv paper 2310.04878: Hybrid Recommendation System using Graph Neural Network and BERT Embeddings recommendation system https://epsilla-inc.gitbook.io/epsilladb/epsilla-vector-database/advanced-topics/embeddings Embeddings | Epsilla embeddings https://arxiv.org/abs/1205.4656 [1205.4656] Conditional mean embeddings as regressors - supplementary Abstract page for arXiv paper 1205.4656: Conditional mean embeddings as regressors - supplementary conditionalmeanembeddingssupplementary https://arxiv.org/abs/2602.08099 [2602.08099] VidVec: Unlocking Video MLLM Embeddings for Video-Text Retrieval Abstract page for arXiv paper 2602.08099: VidVec: Unlocking Video MLLM Embeddings for Video-Text Retrieval unlockingvideomllmembeddingstext https://camel.apache.org/components/4.14.x/langchain4j-embeddings-component.html LangChain4j Embeddings :: Apache Camel LangChain4j Embeddings embeddingsapachecamel https://impact.ornl.gov/en/publications/computationally-efficient-learning-of-quality-controlled-word-emb/ Computationally Efficient Learning of Quality Controlled Word Embeddings for Natural Language... quality controlledword embeddingsfor naturalefficientlearning https://carlpaton.github.io/tags/embeddings/ Tag: embeddings | Carl Paton | There are no silly questions There are no silly questions there aretagembeddingscarlpaton https://cloud.google.com/blog/products/data-analytics/introducing-bigquery-text-embeddings/ Introducing BigQuery text embeddings | Google Cloud Blog You can now generate text embeddings in BigQuery and apply them to downstream application tasks using familiar SQL commands. text embeddingsgoogle cloudintroducingbigqueryblog https://aroosaijaz.github.io/talks/PortlandQC Quantum Embeddings - Aroosa Mar 15, 2021 - Linear algebraic methods for machine learning, such as kernel methods, operate by embedding data points as vectors in a high dimensional vector space,and by... quantumembeddingsaroosa https://www.codecademy.com/learn/intro-to-language-models-in-python/modules/word-embeddings/cheatsheet Intro to Language Models in Python: Word Embeddings Cheatsheet | Codecademy intro tolanguage modelsword embeddingspythoncheatsheet https://ieeetv.ieee.org/ondemand/ieee-icassp-2020-virtual-conference-may-2020/5731/zeroshot-multispeaker-texttospeech-with-stateoftheart-neural-speaker-embeddings Zero-Shot Multi-Speaker Text-To-Speech With State-Of-The-Art Neural Speaker Embeddings | IEEETV While speaker adaptation for end-to-end speech synthesis using speaker embeddings can produce good speaker similarity for speakers seen during training, there... https://www.kaggle.com/code/christofhenkel/how-to-preprocessing-when-using-embeddings How to: Preprocessing when using embeddings | Kaggle Explore and run AI code with Kaggle Notebooks | Using data from Quora Insincere Questions Classification how topreprocessingusingembeddingskaggle https://groups.google.com/g/whale-embeddings WHALE Embeddings - Google Groups whaleembeddingsgooglegroups https://huggingface.co/papers/2402.17016 Paper page - Multi-Task Contrastive Learning for 8192-Token Bilingual Text Embeddings Join the discussion on this paper page paper pagemulti taskcontrastive learning https://infoscience.epfl.ch/entities/publication/0aa0008f-66ec-4b3c-bd74-b0c99b9c8ec8 Class Specific Feature Disentanglement and Text Embeddings for Multi-label Generalized Zero Shot... Robustness of medical image classification models is limited by its exposure to the candidate disease classes. Generalized zero shot learning (GZSL) aims at... https://www.ionixai.com/ Enterprise Agentic AI Platform | SLM + Vector Embeddings + Human-in-the-Loop | IonixAI Enterprise agentic AI platform powered by org-tuned Small Language Models (SLMs), custom vector embeddings, and multi-agent orchestration with... human in the loopenterprise agentic aivector embeddings https://www.cl.uzh.ch/en/studies/studies-BA-MA/teaching/BaMasterArbeit/Visual_Alignment_for_OCR_Robust_Text_Embeddings.html Visual Alignment for OCR Robust Text Embeddings | Department of Computational Linguistics | UZH text embeddings https://research.ibm.com/publications/multi-layer-grid-embeddings MULTI-LAYER GRID EMBEDDINGS. for FOCS 1984 - IBM Research MULTI-LAYER GRID EMBEDDINGS. for FOCS 1984 by Alok Aggarwal et al. multi layergridembeddingsfocsibm https://github.com/uvavision/Double-Hard-Debias GitHub - uvavision/Double-Hard-Debias: [ACL 2020] Double-Hard Debias: Tailoring Word Embeddings for... [ACL 2020] Double-Hard Debias: Tailoring Word Embeddings for Gender Bias Mitigation - uvavision/Double-Hard-Debias double hardword embeddingsgithub https://github.com/kang205/CPRec GitHub - kang205/CPRec: CPRec: Learning Consumer and Producer Embeddings for User-Generated Content... CPRec: Learning Consumer and Producer Embeddings for User-Generated Content Recommendation - kang205/CPRec https://stackoverflow.blog/2023/11/09/an-intuitive-introduction-to-text-embeddings/ An intuitive introduction to text embeddings - Stack Overflow Text embeddings are key to LLMs and convert text into vector coordinates. introduction totext embeddingsintuitivestackoverflow https://se.mathworks.com/help/audio/ref/vggishembeddings.html vggishEmbeddings - Extract VGGish feature embeddings - MATLAB This MATLAB function returns VGGish feature embeddings over time for the audio input audioIn with sample rate fs. extractfeatureembeddingsmatlab https://nuit-blanche.blogspot.com/2012/12/numax-convex-approach-for-learning-near.html Nuit Blanche: NuMax: A Convex Approach for Learning Near-Isometric Linear Embeddings -... A blog about Compressive Sensing, Computational Imaging, Machine Learning. Using priors to avoid the curse of dimensionality arising in Big Data. nuit blanche https://www.research.ed.ac.uk/en/publications/learning-paraphrastic-sentence-embeddings-from-back-translated-bi/ Learning Paraphrastic Sentence Embeddings from Back-Translated Bitext - University of Edinburgh... university oflearningsentenceembeddings https://developers.llamaindex.ai/python/framework/integrations/embeddings/clarifai/ Embeddings with Clarifai | Developer Documentation embeddingsclarifaideveloperdocumentation https://developers.openai.com/api/reference/ruby/resources/admin/subresources/organization/subresources/usage/methods/embeddings Embeddings | OpenAI API Reference openai apiembeddingsreference https://www.pearson.com/en-nz/subject-catalog/p/quick-start-guide-to-large-language-models-2nd-edition/P200000012793/9780135346556 Quick Start Guide to Large Language Models: Strategies and Best Practices for ChatGPT, Embeddings,... quick start guide https://researchconnect.buffalo.edu/en/publications/common-face-embeddings-of-planar-graphs/ Common-face embeddings of planar graphs - SUNY University at Buffalo commonfaceembeddingsplanargraphs https://docs.cloud.google.com/alloydb/omni/containers/15.7.1/docs/ai/model-endpoint-embeddings Generate vector embeddings with model endpoint management | AlloyDB Omni for containers: 15.7.1 |... generate vector embeddings https://unimath.github.io/agda-unimath/category-theory.embeddings-precategories.html Embeddings between precategories - agda-unimath A community-driven library of formalized mathematics from a univalent point of view using the dependently typed programming language Agda. embeddingsagda https://developers.openai.com/cookbook/examples/vector_databases/myscale/getting_started_with_myscale_and_openai Using MyScale as a vector database for OpenAI embeddings This notebook provides a step-by-step guide on using MyScale as a vector database for OpenAI embeddings. The process includes: Utilizing pr as avector databaseusingmyscaleopenai https://media.ccc.de/v/sotm2021-academic-10188-introducing-openstreetmap-user-embeddings-promising-steps-toward-automated-vandalism-and-community-detection Introducing OpenStreetMap User Embeddings: Promising Steps Toward Automated Vandalism and Community... We develop and test user embeddings approaches to vandalism detection in OSM. We successfully demonstrate improvements to previous vandal... introducingopenstreetmapuserembeddingspromising https://experts.arizona.edu/en/publications/near-neural-embeddings-for-amino-acid-relationships/ NEAR: Neural embeddings for amino acid relationships - University of Arizona amino aciduniversity ofnearneuralembeddings https://kth.diva-portal.org/smash/record.jsf?pid=diva2:1930524 Joint Learning of Context and Feedback Embeddings in Spoken Dialogue joint learningcontextfeedbackembeddingsspoken https://www.mpim-bonn.mpg.de/node/10630 Embeddings of manifolds in Euclidean space and Feynman diagrams | Max Planck Institute for... https://docs.cloud.google.com/vertex-ai/generative-ai/docs/samples/generativeaionvertexai-multimodal-embedding-video Get video embeddings from a video segment | Generative AI on Vertex AI | Google Cloud Documentation This code sample demonstrates how to extract video embeddings from a specific segment of a video using the MultiModal Embedding model. https://research.nvidia.com/index.php/publication/2020-06_neural-denoising-layer-embeddings Neural Denoising with Layer Embeddings | Research We propose a novel approach for denoising Monte Carlo path traced images, which uses data from individual samples rather than relying on pixel aggregates.... neuraldenoisinglayerembeddingsresearch https://speakerdeck.com/frankvandijk/how-embeddings-unlock-the-path-to-intent-driven-optimization How embeddings unlock the path to intent-driven optimization - Speaker Deck the pathembeddingsunlock https://cordis.europa.eu/project/id/101131841/results/pl Earth Observation & Weather Data Federation with AI Embeddings | Embed2Scale | Projekt | Wyniki |... Deliverables, publications, datasets, software, exploitable results earth observationweather datawith aifederation https://nkluge-correa.github.io/worldwide_AI-ethics/embeddings.html Worldwide AI Ethics Embeddings Worldwide AI Ethics is a systematic literature review done by AIRES researchers at PUCRS. Building on the work done by other meta-analysts, this study presents... ai ethicsworldwideembeddings https://kth.diva-portal.org/smash/record.jsf?pid=diva2%3A1930524 Joint Learning of Context and Feedback Embeddings in Spoken Dialogue joint learningcontextfeedbackembeddingsspoken https://github.com/UKPLab/arxiv2018-xling-sentence-embeddings GitHub - UKPLab/arxiv2018-xling-sentence-embeddings: Concatenated Power Mean Embeddings as... Concatenated Power Mean Embeddings as Universal Cross-Lingual Sentence Representations - UKPLab/arxiv2018-xling-sentence-embeddings githubsentenceembeddingspowermean https://scholarspace.manoa.hawaii.edu/items/fd4c6a62-abb7-4ef3-93b0-383fd9e1ed9d sysBERT: Improved Behavioral Malware Detection using BERT Trained on sys2vec Embeddings As malware becomes increasingly stealthy and more difficult to detect, behavioral malware detection has become the preferred method of detection, which uses... malware detectionimprovedbehavioral https://docs.cloud.google.com/vertex-ai/generative-ai/docs/embeddings/get-text-embeddings?authuser=5 Get text embeddings | Generative AI on Vertex AI | Google Cloud Documentation Generate text embeddings with Vertex AI Text Embeddings API. Use dense vectors for semantic search and Vector Search. text embeddingsgenerative aigoogle cloudgetvertex https://his.diva-portal.org/smash/record.jsf?pid=diva2:1303898 New methods for finding minimum genus embeddings of graphs on orientable and non-orientable surfaces https://microsoft.github.io/SynapseML/docs/1.0.13/Explore%20Algorithms/OpenAI/Quickstart%20-%20Custom%20Embeddings%20and%20Approximate%20KNN%20on%20GPU/ Quickstart - Custom Embeddings and Approximate KNN on GPU | SynapseML The demo extending existing Azure OpenAI based demo when encoding is processed by OpenAI requests and KNN was using GPU based brute force search. This tutorial... quickstartcustomembeddingsapproximateknn https://developers.openai.com/api/reference/ruby/resources/embeddings Embeddings | OpenAI API Reference openai apiembeddingsreference https://collaborate.princeton.edu/en/publications/enhancing-interpretability-using-human-similarity-judgements-to-p/fingerprints/?sortBy=alphabetically Enhancing Interpretability using Human Similarity Judgements to Prune Word Embeddings - Fingerprint... word embeddingsenhancinginterpretabilityusinghuman https://amslaurea.unibo.it/id/eprint/16714/ Domain-specific word embeddings for ICD-9-CM classification - AMS Tesi di Laurea - AlmaDL -... https://developers.openai.com/cookbook/examples/vector_databases/qdrant/using_qdrant_for_embeddings_search Using Qdrant for embeddings search This notebook takes you through a simple flow to download some data, embed it, and then index and search it using a selection of vector data usingqdrantembeddingssearch https://openresearch.surrey.ac.uk/esploro/outputs/preprint/A-Model-Agnostic-Framework-for-Recommendation-via/99817413602346 A Model-Agnostic Framework for Recommendation via Interest-aware Item Embeddings - University of... https://discuss.google.dev/t/mastering-multimodal-embeddings-mathematics-cross-modal-physics-audio-visual-math-and-mrag-architecture-in-google-vertex-ai/378754 Mastering multimodal embeddings mathematics: Cross-modal physics, audio-visual math, and mRAG... A comprehensive, research-backed engineering deep-dive into the mathematics, backend architecture, and productionization of Google’s Multimodal Embeddings... multimodal embeddings https://research.vu.nl/en/publications/evaluating-the-consistency-of-word-embeddings-from-small-data/ Evaluating the consistency of word embeddings from small data - Vrije Universiteit Amsterdam word embeddings https://thegradientpub.substack.com/p/update-1-fbi-usage-of-facial-recognition Gradient Update #1: FBI Usage of Facial Recognition and Rotary Embeddings For Large LM's as well as other news, papers, and memes, and tweets in the AI world! https://conservancy.umn.edu/items/756a09c1-a3c4-4d62-8460-4731c58e35f6 Towards Learning Powerful Deep Graph Neural Networks and Embeddings Learning powerful data embeddings has recently become the core of machine learning algorithms especially in natural language processing and computer vision... graph neural networkstowardslearningpowerfuldeep https://aws.amazon.com/about-aws/whats-new/2023/11/amazon-titan-multimodal-embeddings-model-bedrock/?ref=awsweekly.info Amazon Titan Multimodal Embeddings foundation model now generally available in Amazon Bedrock - AWS Discover more about what's new at AWS with Amazon Titan Multimodal Embeddings foundation model now generally available in Amazon Bedrock amazon titanmultimodal embeddingsfoundation model https://dataplatform.cloud.ibm.com/docs/content/wsj/analyze-data/fm-embedding.html?context=wx&locale=en&audience=wdp Converting text to text embeddings | IBM watsonx Use the watsonx.ai text embeddings API and the available embedding models to generate text embeddings. convertingtextembeddingsibmwatsonx https://research.facebook.com/publications/question-answering-with-subgraph-embeddings/ Question Answering with Subgraph Embeddings - Meta Research This paper presents a system which learns to answer questions on a broad range of topics from a knowledge base using few handcrafted features. Our model learns... question answeringsubgraphembeddingsmetaresearch https://math.au.dk/forskning/publikationer/instituttets-serier/arkiv/pp/publikation/publikation/577?cHash=3f348f7bda2b742510b186d41e4b4dea Geometry of $B \times B$-orbit closures in equivariant embeddings geometrybtimesclosures