anshuman
@athleticKoder
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machine learning engineer; kaggle master; built https://t.co/Ka15u4sgeX; ex: @google, @amazonIn, @_FlipAI
earth
Joined February 2020
RT @athleticKoder: Me: “Your green eyes are beautiful”. She: “I wish I had brown eyes Would you like me better if I did?”. I told her no. S….
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Me: “Your green eyes are beautiful”. She: “I wish I had brown eyes Would you like me better if I did?”. I told her no. She got mad at me. “Are you only dating me because of my green eyes?”. Me: “no, of course i would like you if you had brown eyes too”.She: “oh so you do wish i.
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Last night, I sat across her. Silent. That sinking feeling of us drifting apart settled. Then, out of nowhere, she handed me her phone. A photo of her ex and me side by side, and said . “You’re both the same, always disconnected.” . I laughed it off, insisting we’re nothing.
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What is Inverted File Indexing in RAG?. - Cluster Data -> Groups vectors into clusters with centroids for faster searches. - Refined Search -> Narrows down to the nearest cluster, then finds closest matches within.
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never apologize for being obsessed. wake up early. stay up late. train twice a day if you want. treat work like a game. seek knowledge like an addict. turn off the world, and create your own. set a vision. trust it. put work-life harmony over work-life balance. find joy in the
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Why use Vector DBs for RAG? . - Speed Boost -> Optimized for fast similarity searches on high-dimensional vectors. - Scalability -> Handles massive datasets efficiently, unlike standard relational DBs.
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She dumped me last night. Not because I don't listen. Not because I'm always on my phone. Not even because I forgot our anniversary (twice). But because, . in her exact words: . "You only pay attention to the parts of what I say that you think are important.". I stared at her.
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but i think these models still lack a little bit of physics understanding.
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What is Indexing in RAG?. Organize Data -> Structures vast text data for quick access by RAG systems. Fast Retrieval -> Pinpoints relevant info instantly, like a super-efficient library for LLMs.
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