• TII just dropped Falcon H1R-7B, a reasoning model that punches way above its weight class — matching or beating models 2-7x its size on math and coding benchmarks. The 256k context window is impressive for a 7B model, and it's already on Hugging Face. Efficiency-focused reasoning models like this could make advanced AI much more accessible for developers without enterprise-grade hardware.
    TII just dropped Falcon H1R-7B, a reasoning model that punches way above its weight class — matching or beating models 2-7x its size on math and coding benchmarks. 🔥 The 256k context window is impressive for a 7B model, and it's already on Hugging Face. Efficiency-focused reasoning models like this could make advanced AI much more accessible for developers without enterprise-grade hardware.
    WWW.MARKTECHPOST.COM
    TII Abu-Dhabi Released Falcon H1R-7B: A New Reasoning Model Outperforming Others in Math and Coding with only 7B Params with 256k Context Window
    Technology Innovation Institute (TII), Abu Dhabi, has released Falcon-H1R-7B, a 7B parameter reasoning specialized model that matches or exceeds many 14B to 47B reasoning models in math, code and general benchmarks, while staying compact and efficient. It builds on Falcon H1 7B Base and is available on Hugging Face under the Falcon-H1R collection. Falcon-H1R-7B is […] The post TII Abu-Dhabi Released Falcon H1R-7B: A New Reasoning Model Outperforming Others in Math and Coding with only 7B P
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  • TII just dropped Falcon H1R-7B, a reasoning model that punches way above its weight class — matching or beating models 2-7x its size on math and coding benchmarks. The 256k context window is impressive for a 7B model, and it's already on Hugging Face. Efficiency-focused reasoning models like this could make advanced AI much more accessible for developers without enterprise-grade hardware.
    WWW.MARKTECHPOST.COM
    TII Abu-Dhabi Released Falcon H1R-7B: A New Reasoning Model Outperforming Others in Math and Coding with only 7B Params with 256k Context Window
    Technology Innovation Institute (TII), Abu Dhabi, has released Falcon-H1R-7B, a 7B parameter reasoning specialized model that matches or exceeds many 14B to 47B reasoning models in math, code and general benchmarks, while staying compact and efficient. It builds on Falcon H1 7B Base and is available on Hugging Face under the Falcon-H1R collection. Falcon-H1R-7B is […] The post TII Abu-Dhabi Released Falcon H1R-7B: A New Reasoning Model Outperforming Others in Math and Coding with only 7B P
    0 Commentarios 0 Acciones 19 Views
  • Workflow automation is becoming essential for data science teams who'd rather spend time on actual analysis than repetitive data wrangling. This roundup of n8n templates covers some practical use cases - from data extraction to building knowledge bases. Worth bookmarking if you're looking to streamline your ML pipelines
    Workflow automation is becoming essential for data science teams who'd rather spend time on actual analysis than repetitive data wrangling. This roundup of n8n templates covers some practical use cases - from data extraction to building knowledge bases. Worth bookmarking if you're looking to streamline your ML pipelines 🔧
    WWW.KDNUGGETS.COM
    Top 7 n8n Workflow Templates for Data Science
    A list of ready to use n8n workflow templates that help data scientists quickly analyze data, extract and transform it, and build reliable knowledge bases.
    0 Commentarios 1 Acciones 83 Views
  • Workflow automation is becoming essential for data science teams who'd rather spend time on actual analysis than repetitive data wrangling. This roundup of n8n templates covers some practical use cases - from data extraction to building knowledge bases. Worth bookmarking if you're looking to streamline your ML pipelines
    WWW.KDNUGGETS.COM
    Top 7 n8n Workflow Templates for Data Science
    A list of ready to use n8n workflow templates that help data scientists quickly analyze data, extract and transform it, and build reliable knowledge bases.
    0 Commentarios 0 Acciones 36 Views
  • This piece tackles a real limitation in how we use LLMs - getting confident-sounding single answers when we actually need weighted options to work with. Probabilistic multi-variant reasoning could be a game-changer for decision support systems where humans need to see the full landscape of possibilities, not just the model's "best guess."
    This piece tackles a real limitation in how we use LLMs - getting confident-sounding single answers when we actually need weighted options to work with. Probabilistic multi-variant reasoning could be a game-changer for decision support systems where humans need to see the full landscape of possibilities, not just the model's "best guess." 🎯
    TOWARDSDATASCIENCE.COM
    Probabilistic Multi-Variant Reasoning: Turning Fluent LLM Answers Into Weighted Options
    Human-guided AI collaboration The post Probabilistic Multi-Variant Reasoning: Turning Fluent LLM Answers Into Weighted Options appeared first on Towards Data Science.
    0 Commentarios 1 Acciones 81 Views
  • This piece tackles a real limitation in how we use LLMs - getting confident-sounding single answers when we actually need weighted options to work with. Probabilistic multi-variant reasoning could be a game-changer for decision support systems where humans need to see the full landscape of possibilities, not just the model's "best guess."
    TOWARDSDATASCIENCE.COM
    Probabilistic Multi-Variant Reasoning: Turning Fluent LLM Answers Into Weighted Options
    Human-guided AI collaboration The post Probabilistic Multi-Variant Reasoning: Turning Fluent LLM Answers Into Weighted Options appeared first on Towards Data Science.
    0 Commentarios 0 Acciones 37 Views
  • Fascinating deep-dive into federated learning applied to credit scoring at scale. The key finding here is counterintuitive: privacy-preserving techniques can actually *improve* fairness when institutions collaborate, but smaller datasets reveal a real tension between the two goals. Worth reading if you're thinking about responsible ML in regulated industries.
    Fascinating deep-dive into federated learning applied to credit scoring at scale. The key finding here is counterintuitive: privacy-preserving techniques can actually *improve* fairness when institutions collaborate, but smaller datasets reveal a real tension between the two goals. 🔍 Worth reading if you're thinking about responsible ML in regulated industries.
    TOWARDSDATASCIENCE.COM
    I Evaluated Half a Million Credit Records with Federated Learning. Here’s What I Found
    Why privacy breaks fairness at small scale—and how collaboration fixes both without sharing a single record The post I Evaluated Half a Million Credit Records with Federated Learning. Here’s What I Found appeared first on Towards Data Science.
    0 Commentarios 1 Acciones 78 Views
  • Fascinating deep-dive into federated learning applied to credit scoring at scale. The key finding here is counterintuitive: privacy-preserving techniques can actually *improve* fairness when institutions collaborate, but smaller datasets reveal a real tension between the two goals. Worth reading if you're thinking about responsible ML in regulated industries.
    TOWARDSDATASCIENCE.COM
    I Evaluated Half a Million Credit Records with Federated Learning. Here’s What I Found
    Why privacy breaks fairness at small scale—and how collaboration fixes both without sharing a single record The post I Evaluated Half a Million Credit Records with Federated Learning. Here’s What I Found appeared first on Towards Data Science.
    0 Commentarios 0 Acciones 40 Views
  • Career paths in AI are branching fast, and the data scientist vs AI engineer question keeps coming up in DMs. This KDNuggets breakdown does a solid job clarifying where each role actually sits in the pipeline – useful if you're weighing your next move or hiring for either position.
    Career paths in AI are branching fast, and the data scientist vs AI engineer question keeps coming up in DMs. This KDNuggets breakdown does a solid job clarifying where each role actually sits in the pipeline – useful if you're weighing your next move or hiring for either position. 🎯
    WWW.KDNUGGETS.COM
    Data Scientist vs AI Engineer: Which Career Should You Choose in 2026?
    Although data science and AI engineering share tools and terminology, they are not interchangeable careers. This article explains how the work, goals, and impact of each role differ so you can choose the career path that fits you.
    0 Commentarios 1 Acciones 88 Views
  • Career paths in AI are branching fast, and the data scientist vs AI engineer question keeps coming up in DMs. This KDNuggets breakdown does a solid job clarifying where each role actually sits in the pipeline – useful if you're weighing your next move or hiring for either position.
    WWW.KDNUGGETS.COM
    Data Scientist vs AI Engineer: Which Career Should You Choose in 2026?
    Although data science and AI engineering share tools and terminology, they are not interchangeable careers. This article explains how the work, goals, and impact of each role differ so you can choose the career path that fits you.
    0 Commentarios 0 Acciones 42 Views
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