caCaleb Writes Code

Caleb Writes Code

@calebwritescode

YouTube (120k+) @CalebWritesCode

Caleb Writes Code គឺជាអ្នកបង្កើតមាតិកា TikTok ដែលមានអ្នកតាមដាន 43.1K និងការចូលចិត្ត 339.3K។ វីដេអូនីមួយៗទទួលបានការមើលជាមធ្យម 20.1K ដង ជាមួយអត្រាចូលរួម 6.2%។ ហាស់ថេកដែលប្រើញឹកញាប់បំផុត៖ #machinelearning #anthropic និង #llm។

https://youtube.com/@calebwritescode?si=lhfGyU6itb8FT51G
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ការមើលជាមធ្យម
អត្រាចូលរួម: 6.2%
43.1K
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កំណើន និងការព្យាករណ៍

ធ្វើបច្ចុប្បន្នភាពចុងក្រោយព្យាករណ៍ 7 ថ្ងៃព្យាករណ៍ 30 ថ្ងៃ
អ្នកតាមដាន43.1K🔒 Pro🔒 Pro
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ដោះសោរបាយការណ៍ពេញលេញ

អ៊ីមែលទំនាក់ទំនង ប្រវត្តិកំណើន និងការព្យាករណ៍ និងបណ្ណសារវីដេអូពេញលេញ មាននៅក្នុង Pro។

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Pro ឥតគិតថ្លៃក្នុងដំណាក់កាលបេតា៖ សាកល្បងបាន ដោយមិនត្រូវការកាតឥណទាន។

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ប្រាក់ចំណូលប៉ាន់ស្មាន

តម្លៃប៉ាន់ស្មានក្នុងមួយប្រកាសឧបត្ថម្ភ: $215 ដល់ $1.1K គណនាតាមប្រហែល 5 ដល់ 25 ដុល្លារក្នុងអ្នកតាមដាន 1,000 នាក់។ នេះជាការប៉ាន់ស្មានតាមទំហំទស្សនិកជន មិនមែនជាប្រាក់ចំណូលដែលបានរាយការណ៍ទេ។

ធ្វើបច្ចុប្បន្នភាពចុងក្រោយ:

ប្រវត្តិរូប TikTok

វីដេអូថ្មីៗ

វីដេអូថ្មីបំផុត: 2026-10-14

Can we appreciate the breakthrough that OpenAI made in Navier-Stokes without all the drama behind it? OpenAI took a similar approach by taking C/D counter-example by blowing up Euler's equation without forced which is something that Buckmaster and Alpoge was not able to do, though with enough time, they could have gotten there. While we are still finding out more details on denied allegation of OpenAI cheating, it's important to understand first how Navier-Stokes actually works, and second understanding the approach taken by OpenAI that led to the breakthrough.. which would likely need another 1-2 years for the solution to be accepted or rejected by the institution. #math #mathematics #newton #newtonian #physics #openai #ai #artificialintelligence #largelanguagemodels #machinelearning #deeplearning #graphicscard #LLMs #inference #datacenter #gpu #explained #aibubble #anthropic #harnessengineering #compute #research #spacex #spacexai #agi #xai #llm
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Can we appreciate the breakthrough that OpenAI made in Navier-Stokes without all the drama behind it? OpenAI took a similar approach by taking C/D counter-example by blowing up Euler's equation without forced which is something that Buckmaster and Alpoge was not able to do, though with enough time, they could have gotten there. While we are still finding out more details on denied allegation of OpenAI cheating, it's important to understand first how Navier-Stokes actually works, and second understanding the approach taken by OpenAI that led to the breakthrough.. which would likely need another 1-2 years for the solution to be accepted or rejected by the institution. #math #mathematics #newton #newtonian #physics #openai #ai #artificialintelligence #largelanguagemodels #machinelearning #deeplearning #graphicscard #LLMs #inference #datacenter #gpu #explained #aibubble #anthropic #harnessengineering #compute #research #spacex #spacexai #agi #xai #llm

Substack: https://substack.com/home/post/p-215679920 DeepSeek-V4.1-Flash is beautifully crafted model that introduced so many bold takes on model architecture. With CED, the model only activates 50% of the model during prefill which saves huge compute overhead, and CSA2 on top allows KV Cache reduction without sacrificing quality.  mHC optimization they added in kernels by simply rearranging the algebra on the residual operation also helps save communication overhead between SM and HBM. Every inch of the model was built with intention and I can see it reading through the entire research paper. Great work @deepseek_ai team in constructing this, but more importantly, sharing the knowledge to the world. This is invaluable. #deepseek  #artificialintelligence #largelanguagemodels #machinelearning #deeplearning #graphicscard #LLMs #inference #datacenter #gpu #explained #aibubble #anthropic #harnessengineering #compute #research #spacex #spacexai #agi #xai #llm
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Substack: https://substack.com/home/post/p-215679920 DeepSeek-V4.1-Flash is beautifully crafted model that introduced so many bold takes on model architecture. With CED, the model only activates 50% of the model during prefill which saves huge compute overhead, and CSA2 on top allows KV Cache reduction without sacrificing quality. mHC optimization they added in kernels by simply rearranging the algebra on the residual operation also helps save communication overhead between SM and HBM. Every inch of the model was built with intention and I can see it reading through the entire research paper. Great work @deepseek_ai team in constructing this, but more importantly, sharing the knowledge to the world. This is invaluable. #deepseek #artificialintelligence #largelanguagemodels #machinelearning #deeplearning #graphicscard #LLMs #inference #datacenter #gpu #explained #aibubble #anthropic #harnessengineering #compute #research #spacex #spacexai #agi #xai #llm

Jev, a new type of model that is taking over how we think about getting information out of the model. #jev #ai #tech #artificialintelligence #largelanguagemodels #machinelearning #deeplearning #graphicscard #LLMs #inference #datacenter #gpu #explained #aibubble #anthropic #harnessengineering #compute #research #spacex #spacexai #agi #xai #llm
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Jev, a new type of model that is taking over how we think about getting information out of the model. #jev #ai #tech #artificialintelligence #largelanguagemodels #machinelearning #deeplearning #graphicscard #LLMs #inference #datacenter #gpu #explained #aibubble #anthropic #harnessengineering #compute #research #spacex #spacexai #agi #xai #llm

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Caleb Writes Code មានអ្នកតាមដានប៉ុន្មាននាក់?

គិតត្រឹមថ្ងៃទី 2026-11-01 Caleb Writes Code (@calebwritescode) មានអ្នកតាមដាន TikTok 43.1K។

អ្នកបង្កើតមាតិកាស្រដៀងគ្នា

អ្នកបង្កើតមាតិកា TikTok #machinelearning ពេញនិយមបំផុតទូទាំងពិភពលោក

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