Apple Plans to Use 1.2 Trillion Parameter Google Gemini Model to Run New Siri
bloomberg.com·12h·
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So long, Assistant—Gemini is taking over Google Maps
arstechnica.com·17h·
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🤖AI
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Upbeat Technology's RISC-V MCU Takes Flight with Near-Threshold Computing
allaboutcircuits.com·13h·
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performance optimization
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The Devil Is in the Defaults
holzer.online·1d·
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Update Your Damn Dependencies
deeplifelearning.com·1d·
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How I am deeply integrating Emacs
joshblais.com·18m·
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Writing an LLM from scratch, part 26 – evaluating the fine-tuned model
gilesthomas.com·2d·
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Topographical sparse mapping: A training framework for deep learning models
sciencedirect.com·1d·
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We found embedding indexing bottleneck in the least expected place: JSON parsing
nixiesearch.substack.com·2d·
Discuss: Substack
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The Trap of Applying Generic Models to Business Needs
gmicloud.ai·1d·
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Building Data Tools That Work
blog.matterbeam.com·1d·
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Amelie 0.7.0 is out with support of User-Defined Functions
github.com·1d·
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Skills for the Future
bastian.rieck.me·1d·
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Malware Now Uses AI During Execution to Mutate and Collect Data, Google Warns
securityweek.com·13h·
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Tech jobs market 2025, part 3: job seekers’ stories
newsletter.pragmaticengineer.com·1d·
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Why We Migrated from Python to Node.js
blog.yakkomajuri.com·2d·
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OwlAI Assistant for Small Business
owlai.cc·4d·
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The Evolution from RAG to Agentic RAG to Agent Memory
leoniemonigatti.com·1d·
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performance optimization
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Curious about real local LLM workflows: What’s your setup?
reddit.com·23h·
Discuss: r/LocalLLaMA
🤖AI
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The Craft vs. the Commodity: What We Lose (and Gain) When AI Writes Our Code
syntheticauth.ai·6d·
💻personal programming project explainers
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