Vansh Singh @vanshcsingh

fleet @OpenAI 🇺🇸 Previously @MosaicML/@DbrxMosaicAI, @Stripe San Francisco Joined November 2017

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Sam Altman @sama

4 weeks ago

thank you to our partners at microsoft, nvidia, oracle, google, and coreweave for making this possible! lots and lots of GPUs working overtime.

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Greg Brockman @gdb

a month ago

Announcing Stargate Norway: openai.com/index/introduc…

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Sam Altman @sama

2 months ago

Feel the Scale

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Sam Altman @sama

2 months ago

we will cross well over 1 million GPUs brought online by the end of this year! very proud of the team but now they better get to work figuring out how to 100x that lol

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Vansh Singh @vanshcsingh

2 months ago

God bless the United States of America 🇺🇸

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will o’brien @willobri

3 months ago

Software creates soft men Soft men create hard times Hard times create hard men Hard men create hardware Hardware creates good times Good times creates software

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Naveen Rao @NaveenGRao

9 months ago

It’s official! The biggest venture round in history. And I feel like we’re just getting started… databricks.com/company/newsro…

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roon @tszzl

10 months ago

we’re going to mars and asi is on its way

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Alex Hormozi @AlexHormozi

12 months ago

You can choose your goals. You can’t choose their price.

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Vansh Singh @vanshcsingh

11 months ago

Investors think they are prepared for how long it will take to see returns on ai spend. They arent.

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1a3orn @1a3orn

2 years ago

A timely reminder

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Naval @naval

a year ago

So, who’s been in charge all along?

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Most ML folks don't realize how different a beast it is to serve enterprise. Like being a "leader" in the Gartner Magic Quadrant is legit more important than your MMLU score. This isn't enterprise ignorance. It's the opposite. Businesses are machines strictly more complex than…

Matei Zaharia @matei_zaharia

a year ago

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Vansh Singh @vanshcsingh

a year ago

AI is over-saturated. Winter is coming. Firms without a real business are NGMI.

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Sam Havens @sam_havens

a year ago

@SnowflakeDB Awesome work training such a big model with a permissive license! I think you had a mistake in your IFEval implementation, your reported number is less than 2x what we observe (though it does vary with inference server and sampling parameters). You should see in the high 60s

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Naveen Rao @NaveenGRao

a year ago

I don’t think everyone has comprehended the massive disruption and distortion that is going to happen in the Gen AI market due to Llama3. Moats will be destroyed and investments will go to zero. Just like everything in Gen AI, this will all happen fast.

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Databricks @databricks

a year ago

Meta Llama 3 models are being rolled out across all Databricks Model Serving regions over the next few days. Once available, they can be accessed via the UI, API, or SQL interfaces. dbricks.co/3Qcwffh

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Aravind Srinivas @AravSrinivas

a year ago

It can’t because GPT 4 cost 100m$ to train.

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Vansh Singh @vanshcsingh

a year ago

Yes, we dropped the best open-source model as of today. Yes, you can train your own SOTA models too. Train on @databricks! databricks.com/blog/introduci…

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Jonathan Frankle @jefrankle

a year ago

Meet DBRX, a new sota open llm from @databricks. It's a 132B MoE with 36B active params trained from scratch on 12T tokens. It sets a new bar on all the standard benchmarks, and - as an MoE - inference is blazingly fast. Simply put, it's the model your data has been waiting for.