Alex Holub
@alex_holub
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Following
5K
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RT @jasonlk: When the “exit” comes.The money rarely buys happiness. When the IPO comes, it’s great, but.It’s back to work the next day. The….
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RT @petergyang: Jensen Huang built Nvidia to $2.2 trillion. I watched his interviews and here's what stands out:. Pure Asian dad energy.….
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RT @_Borriss_: Wow. The OpenAI Sora team dropped 5 new videos that are bananas! (Almost no exaggeration.😬). Check them here:.
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RT @jasonlk: If you have:. 👉2 truly great founders, a great CEO and a great CTO.👉100% committed and get to just.👉10 paying customers. and….
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RT @Francis_YAO_: Over the last two days after my claim "long context will replace RAG", I have received quite a few criticisms (thanks and….
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RT @minchoi: Google Gemini 1.5 Pro just changed the game with its massive 1,000,000+ token context size. It doesn't just understand few pag….
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RT @ylecun: A clip from our Davos panel in which Daphne Koller and I talk about the saturation of LLM performance, the exhaustion of text d….
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RT @vidoracorp: Learn how to easily create a next-best-offer experience in Cortex in order to maximize user subscriptions and increase cust….
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RT @vidoracorp: We are excited to announce a new Cortex feature: Weighted Decisions. Teams are now able to quickly experiment with differen….
vidora.com
Weighted decisions allow a business to weigh the output of a machine learning pipeline within a next-best-action experience.
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RT @vidoracorp: Vidora’s Evin Sellin led the development of MistQL - a miniature language that allowed Vidora to enable the real-time featu….
vidora.com
MistQL is a great example of how the Vidora engineering team continues to push the boundaries of what is possible for real-time machine learning.
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RT @vidoracorp: A solution to showing value quickly from data investments might be to start with sending real-time behavioral data into the….
vidora.com
Businesses can demonstrate immediate value from machine learning while at the same time fueling investments in additional infrastructure.
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RT @vidoracorp: In our latest blog, we discuss both standard and advanced techniques for building user segments using first party data for….
vidora.com
In this blog post, we dive into some common and advanced techniques many businesses are using to segment users with their first party data.
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RT @vidoracorp: Happy New Year! We are looking forward to an amazing year and seeing how our partners leverage machine learning. Read more….
vidora.com
We are in 2022! It’s going to be a great year. The Vidora team is truly grateful and excited to be working with such a […]
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RT @rodneyabrooks: My latest column for @IEEESpectrum. And yes, I intend this to confront some deeply held assumptions. .
spectrum.ieee.org
Just because a theory is old doesn't mean it's correct
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RT @vidoracorp: Dynamic decisioning, powered by machine learning, is a strong framework to increase conversions and business value. Read mo….
vidora.com
The motivation for dynamic decisioning is that a user journey should be unique for every user and change based on a user’s activity.
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RT @vidoracorp: Vidora is #hiring for a variety of roles including a full-stack engineering role! If you know of anyone interested in and l….
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RT @ascend_io: "It’s not enough to say, 'Can I create the model on a small set of data?'. It’s often underestimated how big a step it is t….
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RT @ascend_io: Operationalizing Machine Learning and think there has to be a better way? Learn more about what that better way is with @vi….
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RT @vidoracorp: Combining powerful data science platforms like @Ascend_io and @Vidora allows for businesses to quickly deploy machine learn….
vidora.com
The application of Machine learning to the automation and optimization of various business processes is one of the most impactful ways for businesses to realize […]
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