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Morra integração DataFlex, morra
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I hadn't thought of this in years, but I was recalling the time at my first real job when I tried to create a rudimentary LLM using Dataflex. I was fired before I was able to completely delete it from my PC. Any day now I expect my wife to get a text reading "CALL ROB"
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What if you could supercharge LLM training by dynamically optimizing the data, not just the model? Researchers from Peking University, Shanghai AI Lab, & the LLaMA-Factory team present DataFlex. It's a unified framework that smartly selects, mixes, and re-weights training data on the fly during LLM training. Outperforms standard full-data training on MMLU benchmarks and improves efficiency, offering a reproducible toolkit for data-centric AI. DataFlex: A Unified Framework for Data-Centric Dynamic Training of Large Language Models Paper: arxiv.org/abs/2603.26164 Doc: opendcai.github.io/DataFlex-…  Github: github.com/OpenDCAI/DataFlex Our report: mp.weixin.qq.com/s/QoXfElsL0… 📬 #PapersAccepted by Jiqizhixin
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Replying to @Saanvi_dhillon
Depends on what you mean. I've programmed in a lot over the last 40 years, but I am pretty rusty with most of them. 68000 assembler, arexx, c, c , c#, objective c, cobol, pascal, perl, visual basic, dataflex, pl/sql, java, Javascript, gdscript, python, solidity Plus languages like ispf for mainframe menuing, xml and html for markup. and i've used many variants of basic like apple basic, blitz basic, dark basic, vbscript, vba. But in a practical sense, the languages I use regularly (like in the last year), which i would be generally competent with is a pretty small list: C#, java, javascript, python, vbscript, pl/sql, xml, html... and I at least read through c and c and do minor integrations with it.
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Top AI papers this week on @huggingface 🚀 - CARLA-Air: Fly Drones Inside a CARLA World -- A Unified Infrastructure for Air-Ground Embodied Intelligence - FIPO: Eliciting Deep Reasoning with Future-KL Influenced Policy Optimization (surpasses DeepSeek-R1-Zero and o1-mini) - LongCat-Next: Lexicalizing Modalities as Discrete Tokens by Meituan - ShotStream: Streaming Multi-Shot Video Generation for Interactive Storytelling - Out of Sight but Not Out of Mind: Hybrid Memory for Dynamic Video World Models - DataFlex: A Unified Framework for Data-Centric Dynamic Training of Large Language Models - TAPS: Task Aware Proposal Distributions for Speculative Sampling - The Latent Space: Foundation, Evolution, Mechanism, Ability, and Outlook
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Apr 3
DataFlex A Unified Framework for Data-Centric Dynamic Training of Large Language Models paper: huggingface.co/papers/2603.2…
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My curated papers from this week Mathematical methods and human thought in the age of AI paper: arxiv.org/abs/2603.26524 Proofdoors and Efficiency of CDCL Solvers paper: arxiv.org/abs/2603.26286 On merge-models paper: arxiv.org/abs/2603.26570 Short proofs in combinatorics and number theory paper: arxiv.org/abs/2603.29961 From logπ to π: Taming Divergence in Soft Clipping via Bilateral Decoupled Decay of Probability Gradient Weight paper: arxiv.org/abs/2603.14389 SKILL0: In-Context Agentic Reinforcement Learning for Skill Internalization paper: arxiv.org/abs/2604.02268 Loop Control Management in Tightly Coupled Processor Arrays (TCPAs) paper: arxiv.org/abs/2603.28645 LongCat-AudioDiT tech report: github.com/meituan-longcat/L… LongCat-Next: Lexicalizing Modalities as Discrete Tokens paper: arxiv.org/abs/2603.27538 Kernel-Smith: A Unified Recipe for Evolutionary Kernel Optimization paper: arxiv.org/abs/2603.28342 Announcing 1-bit Bonsai: The First Commercially Viable 1-bit LLMs whitepaper: github.com/PrismML-Eng/Bonsa… blog: prismml.com/news/bonsai-8b Preference-Aligned LoRA Merging: Preserving Subspace Coverage and Addressing Directional Anisotropy paper: arxiv.org/abs/2603.26299 Realtime-VLA V2: Learning to Run VLAs Fast, Smooth, and Accurate paper: arxiv.org/abs/2603.26360 DIAL: Decoupling Intent and Action via Latent World Modeling for End-to-End VLA paper: arxiv.org/abs/2603.29844 Avoid Routing Polarization for OCS-based GPU Clusters paper: arxiv.org/abs/2603.28168 Weight Tying Biases Token Embeddings Towards the Output Space paper: arxiv.org/abs/2603.26663 AgentFixer: From Failure Detection to Fix Recommendations in LLM Agentic Systems paper: arxiv.org/abs/2603.29848 ChartNet: A Million-Scale, High-Quality Multimodal Dataset for Robust Chart Understanding paper: arxiv.org/abs/2603.27064 VAREX: A Benchmark for Multi-Modal Structured Extraction from Documents paper: arxiv.org/abs/2603.15118 PruneFuse: Efficient Data Selection via Weight Pruning and Network Fusion paper: arxiv.org/abs/2603.26138 DataFlex: A Unified Framework for Data-Centric Dynamic Training of Large Language Models paper: arxiv.org/abs/2603.26164 Rethinking Language Model Scaling under Transferable Hypersphere Optimization paper: arxiv.org/abs/2603.28743 A Family of LLMs Liberated from Static Vocabularies paper: arxiv.org/abs/2603.15953 VideoZeroBench: Probing the Limits of Video MLLMs with Spatio-Temporal Evidence Verification paper: arxiv.org/abs/2604.01569 Marco DeepResearch: Unlocking Efficient Deep Research Agents via Verification-Centric Design paper: arxiv.org/abs/2603.28376 daVinci-LLM:Towards the Science of Pretraining paper: arxiv.org/abs/2603.27164 Sharp Capacity Scaling of Spectral Optimizers in Learning Associative Memory paper: arxiv.org/abs/2603.26554 Working Notes on Late Interaction Dynamics: Analyzing Targeted Behaviors of Late Interaction Models paper: arxiv.org/abs/2603.26259 On Strengths and Limitations of Single-Vector Embeddings paper: arxiv.org/abs/2603.29519
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🚀 Train better models by tuning your data — not just your model. Introducing DataFlex: an open-source framework for dynamic data strategy during training. Built for complex / multi-domain fine-tuning: • 🗂️Data selection • 🔀Data mixing • ⚖️Sample reweighting
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DataFlex A unified data-centric training framework built on LLaMA-Factory, supporting dynamic sample selection, domain mixture adjustment, and sample reweighting with full DeepSpeed ZeRO-3 compatibility.
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Replying to @jennteinforma
Fijate que NO, te cuento que este gobierno esta comprando mas que nunca a los proveedores con precios mas altos, y sobre todo protege a los monopolios del estado, si en mi rubro…busca dataflex en guatecompras, estan despilfarrando en ipads, drones y cuanta tonteria… buscalo!
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Replying to @davepl1968
Are there no old school Novell guys out there? I dabbled with Unix when the stuff I was writing in DBase & Dataflex lived on Unix boxes, but when I moved to Novell NetWare I absolutely loved it. Longest uptime I ever saw was 4 years on a NetWare 3.1 box
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Replying to @rqobela
Too many. Ones on products doing more than $100m/year and never thought about using again…. - Dataflex - Delphi/Pascal - APL - Mumps
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25 Sep 2025
The Datachain That Unlocks the Value of Data… aka finally giving your weird Excel sheets a chance to pay rent. 💸📊 #IRYS #DataFlex @irys_xyz
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1 Sep 2025
Replying to @MuseumCommodore
Lack of business applications like lotus 123 and databases like dbase, clipper and dataflex
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Replying to @BrokenFiction
Cobol, Pascal, Fortran, Basic, Visual Basic, PDP-11 Assembly, 6800 assembly, 8080 assembly, Z80 assembly, K&R C, ANSI C, C , TK/TCL, Dataflex, SQL, Bash, Csh, Ksh, a little Python, and I remember none of it (well fragments - but nothing that would do me any good).
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10 Jul 2025
Replying to @asemota @kayvins
Dataflex was selling parked bell, Compaq systems and hardware as at 1988.
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産業用サーマルプリンタ DataFlex 6330 / 6530 ビデオジェット社 🍎 食品業界用 🛒 小売・流通業界用 💻 電子・電気機器業界用 この製品について 産業用サーマルプリンタの DataFlex シリーズ 6530・6330 は、より生産性の高いオペレーションを実現するために設計された製品です。 業界最低速・最高速での印字が可能で、最新の技術により稼働率を向上させるほか、品質チェック・廃棄・手直しにかかる時間を削減でき、生産性・品質・効率を向上させます。 内蔵型の印字品質チェッカー iAssure™ (アイアシュア) 技術、最小限の消耗部品、圧縮エアー不要の電子制御機能、そして迅速に交換できるリボンカセットが特長です。 1 台で間欠・連続印字の両方に対応し、1 つのコントローラで最大 4 台のプリンタを制御できます。 ■特長 ・最高1,000mm/秒の高速ライン対応 (DF6530) ・32mm幅、53mm幅、107mm幅の印字ヘッド ・カセットタイプかつリボンの経路がシンプルでリボン交換が簡単 ・特許取得済みの双方向ステッピングモーター制御を採用し、リボンの無駄を抑える設計。前の印字から0.5mmの隙間を空けて、次の印字用にリボンをポジショニング ・工場エアーが不要の電子制御式 ・日付や時刻等を自動で更新する高速可変印字に対応 詳しくはこちら! metoree.com/products/31684/ その他のサーマルプリンターはこちらから見られます🙂 metoree.com/categories/5090/ #サーマルプリンター #メトリー #Metoree #産業用サーマルプリンタ #DataFlex #業界最低速・最高速印字 #最大4台のプリンタ制御
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#OjoAlDAto - La municipalidad de #VillaNueva compró 9 computadoras de escritorio para diferentes direcciones de la municipalidad. Le adjudicaron la compra a Dataflex por Q90 mil.
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May God's overflowing peace, hope, and joy fill our hearts and homes this Easter Sunday. Wishing you and your loved ones a blessed and joyful Easter. From all of us at DataFlex. #HappyEaster #EasterWishes #BlessedEaster #DataFlexFamily
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