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Article URL: https://messaging-custom-newsletters.nytimes.com/dynamic/render

Comments URL: https://news.ycombinator.com/item?id=39935139

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Article URL: https://silasmarvin.dev/conways-game-of-life-through-time

Comments URL: https://news.ycombinator.com/item?id=39935131

Points: 2

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Article URL: https://www.science.org/doi/10.1126/sciadv.adn3784

Comments URL: https://news.ycombinator.com/item?id=39935105

Points: 1

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Article URL: https://practical365.com/celebrating-25-years-of-active-directory/

Comments URL: https://news.ycombinator.com/item?id=39935102

Points: 1

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Article URL: https://en.wikipedia.org/wiki/Twitter_under_Elon_Musk

Comments URL: https://news.ycombinator.com/item?id=39935094

Points: 1

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Article URL: https://boingboing.net/2024/04/03/amazons-ai-powered-just-walk-outcheckout-option-turns-out-to-be-1000-workers-watching-you-shop.html

Comments URL: https://news.ycombinator.com/item?id=39935090

Points: 11

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Article URL: https://demo.orange.cloudflare.dev

Comments URL: https://news.ycombinator.com/item?id=39935074

Points: 1

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Article URL: https://arstechnica.com/information-technology/2024/04/microsoft-blamed-for-a-cascade-of-security-failures-in-exchange-breach-report/

Comments URL: https://news.ycombinator.com/item?id=39935036

Points: 2

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Article URL: https://www.marketwatch.com/story/bank-of-america-faces-rate-trap-as-ubs-downgrades-megabank-to-neutral-from-buy-06e6c97f

Comments URL: https://news.ycombinator.com/item?id=39935028

Points: 2

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Article URL: https://twitter.com/sethabramson/status/1775672546882437335

Comments URL: https://news.ycombinator.com/item?id=39935011

Points: 4

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Article URL: https://www.tomshardware.com/pc-components/cpus/former-silicon-valley-vets-create-risc-v-microprocessor-that-can-run-cpu-gpu-and-npu-workloads-simultaneously

Comments URL: https://news.ycombinator.com/item?id=39935000

Points: 2

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Article URL: https://pubs.acs.org/doi/10.1021/acs.est.3c09642

Comments URL: https://news.ycombinator.com/item?id=39934999

Points: 1

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Article URL: https://binary.ninja/survey/

Comments URL: https://news.ycombinator.com/item?id=39934994

Points: 1

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Article URL: https://www.washingtonpost.com/world/2024/04/04/taiwan-earthquake-taipei-101-damper/

Comments URL: https://news.ycombinator.com/item?id=39934993

Points: 1

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Article URL: https://onlinelibrary.wiley.com/doi/10.1002/pro.4941

Comments URL: https://news.ycombinator.com/item?id=39934990

Points: 1

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Article URL: https://musicforprogramming.net/latest/

Comments URL: https://news.ycombinator.com/item?id=39934987

Points: 1

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Article URL: https://arxiv.org/abs/2404.02575

Comments URL: https://news.ycombinator.com/item?id=39934956

Points: 7

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Article URL: https://www.japantimes.co.jp/news/2024/03/25/japan/society/hiroshima-furniture-craftsman/

Comments URL: https://news.ycombinator.com/item?id=39934925

Points: 1

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Article URL: https://github.com/LR-inaf/pasta-marker

Comments URL: https://news.ycombinator.com/item?id=39934484

Points: 1

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In Apr 2024 what is the most efficient way to fine-tune an LLM?

In particular we are trying to understand performance vs. cost trade-offs. We don't have a budget to train from scratch.

We are working with a proprietary data set on the order of 100M tokens and are looking to fine-tune a general purpose language model and also create task-specific models based on the same corpus.

Any help would be appreciated!

Comments URL: https://news.ycombinator.com/item?id=39934480

Points: 2

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