3 things to know about Ironwood, our latest TPU
Google’s seventh-gen Tensor Processing Unit is here! Learn what makes Ironwood our most powerful and energy-efficient custom silicon to date.
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Lessons from a Record-Setting NFL Kicker on Performing Under Pressure
Tune out external criticism, focus on process over outcomes, and embrace reflection and routine.
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10 GitHub Repositories to Master Vibe Coding
Explore top GitHub repositories to help you master this new style of coding and ship full-stack products faster than ever.
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Innovation to Impact: How NVIDIA Research Fuels Transformative Work in AI, Graphics and Beyond
The roots of many of NVIDIA’s landmark innovations — the foundational technology that powers AI, accelerated computing, real-time ray tracing and seamlessly connected data centers — can be found in the company’s research organization, a global team of around 400 experts in fields including computer architecture, generative AI, graphics and robotics. Established in 2006 and led since 2009 by Bill Dally, former chair of Stanford University’s computer science department, NVIDIA Research is unique among corporate research organizations — […]
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Andreas Mihavecz is an Austrian man who was, due to neglect by the arresting officers, forgotten about in a basement cell for 18 days.
submitted by /u/GriffinFTW [link] [comments]
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How would you defend nap?
Why is nap better that any other ethical system? submitted by /u/unholy_anarchist [link] [comments]
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God Is Back from the Dead
In The Gay Science (1882), German philosopher Friedrich Nietzsche famously proclaimed the death of God. Recognizing the enormous implications of secularization and the uprooting of Christianity’s “fundamental concept” (faith in God) and the resulting moral confusion, he exclaimed: “God is dead! Continue Reading…
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If We Want Mamdani To Beat The NYPD, We Must Build Power
submitted by /u/Mynameis__–__ [link] [comments]
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4 ways to refine your content in Flow
You’ll now get more creative control in Flow with new refinement and editing capabilities.
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RAG Text Chunking Strategies: Optimize LLM Knowledge Access
Author(s): Abinaya Subramaniam Originally published on Towards AI. If retrieval is the search engine of your RAG system, chunking is the foundation the search engine stands on. Even the strongest LLM fails when the chunks are too long, too short, noisy, or cut at the wrong place. That is why practitioners often say: “Chunking determines 70% of RAG quality.” Good chunking helps the retriever find information that is complete, contextual, and relevant while bad chunking creates fragmented, out […]
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