::_rajeev
@rajeevchhajer
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#MobilityTech 🚘⚡ && #MarTech 🎁⚡ && #Fam 👪; Alum: @Wharton, @OldDalians (Views=Me=#LifeOfAnEntrepreneur)
Columbus, OH
Joined September 2012
It's the big 4-0! As I was reflecting, I wrote down principle's that make up my belief system. 👇
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Actions such as data cleaning, filtering, shaping, feature logic & transformations and acknowledging data gaps are mostly under appreciated efforts in the data science journey but super important. AI makes not only taking these actions easier but also with explainability.
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💯💯💯.
Context engineering is increasingly the most critical component for building effective AI Agents in the enterprise right now. This will ultimately be the long pole in the tent for AI Agents adoption in most organizations. We need AI Agents that can deeply understand the context.
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Today’s LLMs excel at generating fluent, coherent text. But when we push them beyond simple, single-shot tasks into complex, multi-step problem-solving, we encounter what we call the “brittleness barrier.”. Check out the work @RyanLingo, a couple colleagues and myself did towards.
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"If you can't spot the fish at the poker table, then it's you.".
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When someone requests a "detailed summary", are they looking for details or a summary?.
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With AI, the only barrier to insights from data is getting access to the data itself!.
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👇♥️🚀.
This is one of my favorite speeches of all time…. It always hits me hard:. “You get up every day—you’re entitled to nothing. Nobody owes you nothing. You could have talent, but if you don’t have discipline, and you don’t execute, you don’t focus… What do you get? Nothing. If
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I've been k-meaning to tell you that "Keep Calm and Let's Keep. "
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Question -> Vibe Code -> Insight -> Question -> Vibe Code -> Insight -> Question -> Vibe Code -> Insight -> Question -> Vibe Code -> Insight -> Question -> Vibe Code -> Insight -> Question -> Vibe Code -> Insight -> . .
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