Our 1st version of gener8-synth has been published by @datasafetycli with no known vulnerabilities. You can now use the engine to generate synthetic data.
#SyntheticData #AI #DataEngine #generatedata
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Posts with #dataengine
#dataengine
Public posts on X that use #dataengine.
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Weekly update from @axisrobotics they are now building a model guided data engine,letting the foundation model's own performance decide what data actually gets kept. #AxisRobotics #AIRobotics #DataEngine #Real2Sim2Real
Axis Robotics @axisroboticsAxis Weekly We've been experimenting with how to digest data better. After almost a year of building the data flywheel, the next step is a model-guided data engine: use foundation-model performance as feedback to decide what to keep, what to drop, and where the next batch should be produced. We already made large-scale data generation and collection possible. The remaining bottleneck is knowing what the current model still lacks, so we can filter existing data and aim the next collection round instead of sampling from a fixed distribution. Thesis article on this soon. Key updates: • New Dataset & Real2Sim2Real: Pipeline for bringing real objects and scenes into simulation, with hardware validation. Focus on cross-object and cross-scene skills on concrete families first. • Active curation: Moving from human/VLM/script checks to model-performance-driven selection, so training budget goes to trajectories that still teach something. • Verification & new tasks: Hardened anti-cheating checks, dual-arm support with ARX5, and new put-in/take-out basket tasks. Details below 👇509413
Axis Robotics@axisroboticsAxis Weekly We've been experimenting with how to digest data better. After almost a year of building the data flywheel, the next step is a model-guided data engine: use foundation-model performance as feedback to decide what to keep, what to drop, and where the next batch should be produced. We already made large-scale data generation and collection possible. The remaining bottleneck is knowing what the current model still lacks, so we can filter existing data and aim the next collection round instead of sampling from a fixed distribution. Thesis article on this soon. Key updates: • New Dataset & Real2Sim2Real: Pipeline for bringing real objects and scenes into simulation, with hardware validation. Focus on cross-object and cross-scene skills on concrete families first. • Active curation: Moving from human/VLM/script checks to model-performance-driven selection, so training budget goes to trajectories that still teach something. • Verification & new tasks: Hardened anti-cheating checks, dual-arm support with ARX5, and new put-in/take-out basket tasks. Details below 👇914932262.2K
Target ALS@TargetALS_fdn#AI is only as powerful as what feeds it. Our #DataEngine and #ResearchCores build the foundation researchers like Dr. Cooper-Knock need to put AI to work for the ALS community. Read more about how we're building that foundation: #EveryoneLives123460
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AbdonNeto@abdoneto83“Wasting hours pulling fragmented on-chain data? With @Covalent_HQ you get cleaned, indexed, ready-to-use info. @wallchain_xyz flagged this one as infrastructure you can actually build on. #DevTools #DataEngine”20011181
Exclusive Interview With Adi Gelvan, CEO and Co-Founder, SpeeDB @StorageTopNews @speedb_io #DataEngine #BigData #Storage #MetaData #Rocksdb #ITPT @ITPressTour
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시간당 1만 궤적의 조건 @axisrobotics #Robotics #DataEngine “시간당 유효 궤적 1만”은 리플레이 검증이 진짜일 때만 의미 있다. 문서 기준: 시뮬 리플레이 → 클리닝 → IsaacSim 도메인 랜덤화로 데모 하나를 수천 장의 포토리얼 샘플로 늘린다. 필터 없는 크라우드 텔레옵은 리더보드 달린 노이즈다. 필터가 제품이다. 랩은 논문, 엔진은 커버리지 폐쇄형 랩은 논문을 최적화한다. 오픈 데이터 엔진은 커버리지를 최적화한다. 한 사이트, 한 체형, 한 조명으로는 VLA가 일반화되지 않는다. Axis 에셋 라이브러리는 싱글암, 듀얼암, 덱스터러스 핸드, 휠 바이매뉴얼, 휴머노이드를 염두에 둔다. Franka는 천장이 아니라 증명이다.
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DagsHub@TheRealDagsHub🌟 Exciting News Alert! 🌟 After months of hard work, we're thrilled to unveil the groundbreaking DagsHub Data Engine - Empowering you to manage and improve your unstructured datasets like never before! 🚀💡 #DataEngine #UnstructuredData15111.9K
SlicedBrand@slicedbrandMore great coverage on @speedb_io announcing its raise of $4 million in seed round funding. @finSMEs shares the details: #Speedb #dataengine #technews #data #Redis007- Target ALS@TargetALS_fdnThe Target ALS #DataEngine just got bigger! We’ve expanded datasets across all core collections, added a user manual, and released new demo videos. Now it’s easier than ever to explore and utilize rich data for #ALSResearch. Explore the updates:
019505 - Speedb Goes Open Source with Data Engine Drop-in Replacement for RocksDB @StorageTopNews @speedb_io #DataEngine #BigData #Storage #MetaData #Rocksdb #ITPT @ITPressTour
115 - RocksDB offers embeddable persistent key-value store @Dutchitchannel @jsteeman @speedb_io #DataEngine #BigData #Storage #MetaData #Rocksdb #ITPT @ITPressTour 43rd Edition
002 - SlicedBrand@slicedbrandMetadata can cause a data engine nightmare if overlooked. @adi_gelvan, Co-Founder & CEO of @speedb_io, debunks 4 misconceptions about metadata on @dzoneinc: #metadata #dataengine #speedb0110
Speedb@speedb_ioWhat’s under your hood ? The #dataengine is crucial for modern day business performance. Yet even seasoned IT pros are often unaware of what's used between the #storage & the application layers, and what dramatic impact it has. Read on @TechBeaconCom036
Pesto@PestoHQ🎉 The team has been working so hard on this massive project and we're so excited to announce that it has finally launched 🎉 Take a look at the article that Doug put together about why and how we did it 👇 #engineers #productlaunch #dataengine #infrastructureDoug Safreno @dougsafrenoLast weekend, we released our new real-time data engine, by far our biggest project in the history of Pragli and something most of the team had been working on for 6 months. Here's some background on it.005
Last weekend, we released our new real-time data engine, by far our biggest project in the history of Pragli and something most of the team had been working on for 6 months. Here's some background on it.016- Speedb@speedb_ioMonolithic vs. Microservices: Which is better? @speedb_io CEO Adi Gelvan discusses the pros and cons of both, and why application performance is at its best when addressed at the core of the underlying #data architecture. #dataengine #metadata #database015
adomik@adomik1Adomik Data Engine: The heart of our platform. Your ad monetization simplified. Your data, ready to go. #dataengine #adomikplatform
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In this episode of Utilizing AI, Adi Gelvan of @speedb_io goes deep under the hood to take a look at the data engine along with @FredericVHaren and @SFoskett. | @Utilizing_AI 3x21 #AI #UtilizingAI #DataEngine
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The SaaS News@TheSaaSNewsV7 @V7Labs Raises $33 Million in Series A #AI #Training #DataEngine #seriesA to help teams build robust AI, faster #funding012- ICYMI: In this episode of Utilizing AI, Adi Gelvan of @speedb_io goes deep under the hood to take a look at the data engine along with @FredericVHaren and @SFoskett. | @Utilizing_AI 3x21 #AI #UtilizingAI #DataEngine
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