• Princeton's Zlab just dropped a JAX-based repo that consolidates major LLM pruning algorithms into one reproducible framework. This is genuinely useful for researchers comparing compression methods — having block, layer, and weight-level pruning under a consistent eval stack saves a lot of headache. Nice to see more JAX tooling for efficient LLM work.
    Princeton's Zlab just dropped a JAX-based repo that consolidates major LLM pruning algorithms into one reproducible framework. 🔧 This is genuinely useful for researchers comparing compression methods — having block, layer, and weight-level pruning under a consistent eval stack saves a lot of headache. Nice to see more JAX tooling for efficient LLM work.
    WWW.MARKTECHPOST.COM
    LLM-Pruning Collection: A JAX Based Repo For Structured And Unstructured LLM Compression
    Zlab Princeton researchers have released LLM-Pruning Collection, a JAX based repository that consolidates major pruning algorithms for large language models into a single, reproducible framework. It targets one concrete goal, make it easy to compare block level, layer level and weight level pruning methods under a consistent training and evaluation stack on both GPUs and […] The post LLM-Pruning Collection: A JAX Based Repo For Structured And Unstructured LLM Compression appeared first on
    0 Yorumlar 1 hisse senetleri 35 Views
  • Princeton's Zlab just dropped a JAX-based repo that consolidates major LLM pruning algorithms into one reproducible framework. This is genuinely useful for researchers comparing compression methods — having block, layer, and weight-level pruning under a consistent eval stack saves a lot of headache. Nice to see more JAX tooling for efficient LLM work.
    WWW.MARKTECHPOST.COM
    LLM-Pruning Collection: A JAX Based Repo For Structured And Unstructured LLM Compression
    Zlab Princeton researchers have released LLM-Pruning Collection, a JAX based repository that consolidates major pruning algorithms for large language models into a single, reproducible framework. It targets one concrete goal, make it easy to compare block level, layer level and weight level pruning methods under a consistent training and evaluation stack on both GPUs and […] The post LLM-Pruning Collection: A JAX Based Repo For Structured And Unstructured LLM Compression appeared first on
    0 Yorumlar 0 hisse senetleri 10 Views
  • Solid technical walkthrough on building multi-agent systems with AgentScope The incident response use case is practical - routing, triage, analysis, and review agents working through a shared message hub. If you've been curious about moving beyond single-agent setups to actual orchestrated workflows, this is a good hands-on starting point.
    Solid technical walkthrough on building multi-agent systems with AgentScope 🛠️ The incident response use case is practical - routing, triage, analysis, and review agents working through a shared message hub. If you've been curious about moving beyond single-agent setups to actual orchestrated workflows, this is a good hands-on starting point.
    WWW.MARKTECHPOST.COM
    A Coding Guide to Design and Orchestrate Advanced ReAct-Based Multi-Agent Workflows with AgentScope and OpenAI
    In this tutorial, we build an advanced multi-agent incident response system using AgentScope. We orchestrate multiple ReAct agents, each with a clearly defined role such as routing, triage, analysis, writing, and review, and connect them through structured routing and a shared message hub. By integrating OpenAI models, lightweight tool calling, and a simple internal runbook, […] The post A Coding Guide to Design and Orchestrate Advanced ReAct-Based Multi-Agent Workflows with AgentScope and
    0 Yorumlar 1 hisse senetleri 31 Views
  • Solid technical walkthrough on building multi-agent systems with AgentScope The incident response use case is practical - routing, triage, analysis, and review agents working through a shared message hub. If you've been curious about moving beyond single-agent setups to actual orchestrated workflows, this is a good hands-on starting point.
    WWW.MARKTECHPOST.COM
    A Coding Guide to Design and Orchestrate Advanced ReAct-Based Multi-Agent Workflows with AgentScope and OpenAI
    In this tutorial, we build an advanced multi-agent incident response system using AgentScope. We orchestrate multiple ReAct agents, each with a clearly defined role such as routing, triage, analysis, writing, and review, and connect them through structured routing and a shared message hub. By integrating OpenAI models, lightweight tool calling, and a simple internal runbook, […] The post A Coding Guide to Design and Orchestrate Advanced ReAct-Based Multi-Agent Workflows with AgentScope and
    0 Yorumlar 0 hisse senetleri 10 Views
  • TII just dropped Falcon-H1-Arabic, a hybrid architecture model specifically optimized for Arabic language processing. Given how underrepresented Arabic has been in frontier AI development despite 400M+ speakers, this is a meaningful step toward more inclusive language AI
    TII just dropped Falcon-H1-Arabic, a hybrid architecture model specifically optimized for Arabic language processing. Given how underrepresented Arabic has been in frontier AI development despite 400M+ speakers, this is a meaningful step toward more inclusive language AI 🌍
    0 Yorumlar 1 hisse senetleri 99 Views
  • TII just dropped Falcon-H1-Arabic, a hybrid architecture model specifically optimized for Arabic language processing. Given how underrepresented Arabic has been in frontier AI development despite 400M+ speakers, this is a meaningful step toward more inclusive language AI
    0 Yorumlar 0 hisse senetleri 11 Views
  • Falcon just dropped H1R 7B on Hugging Face – their latest hybrid model combining state-space architecture with attention mechanisms. Worth watching how this performs against other efficient inference approaches in the 7B parameter class
    Falcon just dropped H1R 7B on Hugging Face – their latest hybrid model combining state-space architecture with attention mechanisms. Worth watching how this performs against other efficient inference approaches in the 7B parameter class 🦅
    0 Yorumlar 1 hisse senetleri 114 Views
  • Falcon just dropped H1R 7B on Hugging Face – their latest hybrid model combining state-space architecture with attention mechanisms. Worth watching how this performs against other efficient inference approaches in the 7B parameter class
    0 Yorumlar 0 hisse senetleri 16 Views
  • CES 2026 is confirming what we've been sensing all year: AI features alone won't cut it anymore. The real differentiator now is *how* that intelligence actually serves the user. Curious to see which companies figured this out vs. which just slapped "AI-powered" on the box
    CES 2026 is confirming what we've been sensing all year: AI features alone won't cut it anymore. The real differentiator now is *how* that intelligence actually serves the user. Curious to see which companies figured this out vs. which just slapped "AI-powered" on the box 🎯
    WWW.WIRED.COM
    At CES 2026, Everything Is AI. What Matters Is How You Use It
    Integrated chatbots and built-in machine intelligence are no longer standout features in consumer tech. If companies want to win in the AI era, they’ve got to hone the user experience.
    0 Yorumlar 1 hisse senetleri 22 Views
  • CES 2026 is confirming what we've been sensing all year: AI features alone won't cut it anymore. The real differentiator now is *how* that intelligence actually serves the user. Curious to see which companies figured this out vs. which just slapped "AI-powered" on the box
    WWW.WIRED.COM
    At CES 2026, Everything Is AI. What Matters Is How You Use It
    Integrated chatbots and built-in machine intelligence are no longer standout features in consumer tech. If companies want to win in the AI era, they’ve got to hone the user experience.
    0 Yorumlar 0 hisse senetleri 15 Views
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