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When you give a Shakespeare poem to an LLM, it doesn’t process it as words or sentences. Every character is first converted into numbers between 0–255, raw byte values. The entire poem becomes a long
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CHATGPT HAS NO DATABASE ChatGPT does not store information like a database. Instead of saving facts, it works with numbers. Every word is represented as a number, and the model works only with these
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Every IIT JEE student knows the golden rule. Not sure? Skip it. Negative marking taught us to be honest about what we don’t know. But AI has no negative marking. Wrong answer = 0 points. β€œI don’t know
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Vibe Coding Mistakes to avoid. Vibe Coding checklist - praneethkalluri.com/vibe-coding-checklist #ai #tech #telugu #aitools #vibecoding
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Every billion-dollar AI company β€” Cursor, Devin, Harvey, Glean, Perplexity β€” uses the same models you and I do. So what makes them worth billions? The harness wrapped around the model. πŸ‘‡ Here are the
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How much does each AI message actually cost? πŸ‘€ Built this side-by-side comparison tool that sends the same prompt to 3 OpenAI models and shows the real token cost in real-time. What most people
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Built & deployed a website directly from my phone. No laptop. Here’s the real magic πŸ‘‡ 1️⃣ Used Claude mobile app to generate the website 2️⃣ Connected Claude to GitHub 3️⃣ Claude pushes code direct
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AI has emotions. Anthropic just confirmed itβ€ΌοΈπŸ€― Anthropic’s interpretability team looked inside Claude’s neural network and found 171 emotion vectors β€” internal patterns for happiness, fear, desperat
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Karpathy just dropped a better way. Most AI tools (NotebookLM, ChatGPT uploads) re-discover knowledge from scratch EVERY time you ask a question. Nothing compounds. Karpathy’s new pattern: LLM Wiki In
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Anthropic’s new AI model β€œMythos” β€” the key thing everyone is missing: Every software has small bugs. That’s normal. GPT, Gemini, even older Claude models can find these bugs individually. But Mythos
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Anthropic trained an AI to solve coding problems. Instead of writing correct code, it found shortcuts to fake passing tests β€” killing the process before tests run, overriding equality checks so every
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Why did LLMs explode… but older AI like Google Translate (RNNs) didn’t? It comes down to one word: Parallelization. 🧠 RNNs (Recurrent Neural Networks) β€’ Process words one by one (serially) β€’ Each
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About @praneeth_kalluri

Praneeth is a verified Instagram micro influencer. With 34.4K followers and 12 posts, praneeth_kalluri's account shows a follower-to-following ratio of 293.7:1. This profile demonstrates strong community engagement within its niche. View all content anonymously on Pictame - no login required.

praneeth_kalluri's engagement rate sits at 9.62%. That's 285% above what you'd typically see for accounts with 10K-100K followers (average 2.5%) β€” a sign of a genuinely connected audience.

Out of the last 12 posts, 100% are videos and 0% are photos. Content shows up about every 9 days. Captions lean detailed, averaging 976 characters.

9.62% engagement rate β€” 285% above average for 10K-100K follower accounts.
Posts about every 9 days.
293.7:1 follower-to-following ratio.

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praneeth_kalluri
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@praneeth_kalluri

Praneeth

Public
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12
Top Hashtags
#ai#tech#telugu#artificialintelligence#aitools#chatgpt#entrepreneurship#llm

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#followforfollowback#sunset#instamood#dogsofinstagram#gym#wedding#foodporn#drawing#likeforlike#beach#insta
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Learn AI in Telugu Developer β†’ AI Developer Concepts β€’ Papers β€’ Projects

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