Knowledge
Large model training FP8-LLM Don’t let your H card be bought in vain: the correct way to open H800
Large model training FP8-LLM Don’t let your H card be bought in vain: the correct way to open H800 Content introduction This article discusses NVI...
EMNLP 2023｜What are the pitfalls of using LLM synthetic data to train models?
EMNLP 2023｜What are the pitfalls of using LLM synthetic data to train models? Content introduction This content explores some of the pitfalls wh...
The blood of developing large models – detailed data engineering with long articles of 10,000 words
The blood of developing large models - detailed data engineering with long articles of 10,000 words Content introduction This article takes a deep...
Virat分享：微調華倫·巴菲特LLM過程
Virat分享：微調華倫·巴菲特LLM過程 內容導讀 在最近的努力中，Virat著手開展了一個項目，對大型語言模型（LLM）進行微調，以模擬傳奇投資者沃倫·巴菲特的公...
LLM2LLM: Boosting LLM with new iterative data augmentation
LLM2LLM: Boosting LLM with new iterative data augmentation Content introduction This paper introduces a breakthrough method for improving the perf...
Turbocall: Just-in-time compiler for Deno FFI
Turbocall: Just-in-time compiler for Deno FFI Content introduction In the blog post 'Turbocall: A Just-In-Time Compiler for Deno FFI' written by l...
PCB Repair: Speed Buggy/Buggy Boy – PhilWIP
PCB Repair: Speed Buggy/Buggy Boy - PhilWIP Content introduction In this detailed PCB restoration story, the authors share their personal experien...
JTAG dump NOR-Zettier’s chain diagram
JTAG dump NOR-Zettier's chain diagram Content introduction In this practical guide, the author takes an in-depth look at the technical process of ...
A casual talk about high-performance computing and performance optimization: Computing
A casual talk about high-performance computing and performance optimization: Computing Content introduction In this insightful art...
22 billion transistors, IBM machine learning processor NorthPole, energy efficiency increased by 25 times
IBM is at it again. As AI systems develop rapidly, their energy requirements are also increasing. Training new systems requires large data sets an...
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