Inside KubeCon 2025: How Arm and its CNCF partners are transforming the way the world builds cloud-native systems
newsroom.arm.comยท15h
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Meta returns to open source AI with Omnilingual ASR models that can transcribe 1,600+ languages natively
venturebeat.comยท11h
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Building powerful RAG pipelines with Docling and OpenSearch
opensearch.orgยท2h
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Quantifying Edits Decay in Fine-tuned LLMs
arxiv.orgยท3h
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Preventing AI Project Failures Through Effective Prompt Engineering
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Progressive Learning: AI Deployment Strategies from Basic to Advanced
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DevMind - AI-Powered Developer Second Brain
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Gonka.ai โ€“ Decentralized Infrastructure for AI
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Provable Benefit of Curriculum in Transformer Tree-Reasoning Post-Training
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Mojo: MLIR-Based Performance-Portable HPC Science Kernels on GPUs for the Python Ecosystem
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AdvisingWise: Supporting Academic Advising in Higher Educations Through a Human-in-the-Loop Multi-Agent Framework
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TimeSense:Making Large Language Models Proficient in Time-Series Analysis
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How context engineering can save your company from AI vibe code overload: lessons from Qodo and Monday.com
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My go-to prompt for legacy code exploration
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Getting the Model Right
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From Product Manager to AI Builder: What It Takes to Go from Prompt to Production
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**Practical Tip: Fine-Tuning LLMs for Improved Generalizabil
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Sloppy : Chrome Extension for AI Slop Detection with Agentic Postgres
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Next-Latent Prediction Transformers Learn Compact World Models
arxiv.orgยท3h
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What if your app's logic was written in... plain English? A crazy experiment with on-device LLMs!
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