#How Algorithms Work

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#How Algorithms Work Reel by @engram.media - Here's the framework we've developed to explain how algorithms work based on our experience and testing for clients. While the exact mechanisms are
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@engram.media
Here’s the framework we’ve developed to explain how algorithms work based on our experience and testing for clients. While the exact mechanisms are closely guarded secrets at companies like Meta, LinkedIn, Twitter, and others, we’ve distilled our insights to provide you with a clear understanding. Curious about leveraging algorithm to enhance your business? Connect with us to take your media game to the next level.
#How Algorithms Work Reel by @sayed.developer (verified account) - What is an algorithm? 🤯 It's not magic. It's just step-by-step logic. Search, sort, recommend… this is what runs everything. Wether you are CS studen
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@sayed.developer
What is an algorithm? 🤯 It’s not magic. It’s just step-by-step logic. Search, sort, recommend… this is what runs everything. Wether you are CS student, a junior or a senior engineer, learning algorithms + DSA is how you learn to actually solve real-world problems. 🚀
#How Algorithms Work Reel by @devinjatho (verified account) - 🤖Algorithm Explained… - - - @engram.media #socialmediagrowth #instagramgrowth #socialmediastrategy #contentmarketing
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@devinjatho
🤖Algorithm Explained… - - - @engram.media #socialmediagrowth #instagramgrowth #socialmediastrategy #contentmarketing
#How Algorithms Work Reel by @theaiorbit (verified account) - Via : @codcoders The world's most complex algorithms aren't just theory - they power finance, security, AI, and the future of computation. From MCMC
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@theaiorbit
Via : @codcoders The world’s most complex algorithms aren’t just theory — they power finance, security, AI, and the future of computation. From MCMC statistical modeling, where randomness becomes prediction, to SHA algorithms driving Bitcoin mining, securing decentralized money at a global scale. From Nash equilibrium in game theory, defining strategic decision-making across economics and AI, to quantum cryptography, where physics itself protects information. These systems operate where probability, cryptography, strategy, and computation collide — and only a few truly understand how deep they go. If you’re curious about how modern intelligence, security, and decentralized systems really work, you’re in the right place. 👉 Follow my page for deep dives into algorithms, cryptography, AI, game theory, and next-generation computing — explained with clarity, precision, and real insight.
#How Algorithms Work Reel by @susmit.eth (verified account) - Video credits :- @3blue1brown This reels gives an insight of how ChatGPT works behind the scenes. GPT-3 (Generative Pre-trained Transformer 3) is a
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@susmit.eth
Video credits :- @3blue1brown This reels gives an insight of how ChatGPT works behind the scenes. GPT-3 (Generative Pre-trained Transformer 3) is a groundbreaking language model developed by OpenAI. Here’s a simplified overview of how it works: **Architecture:** GPT-3 is based on the transformer architecture, which consists of: 1. **Encoder:** A stack of identical layers, each comprising self-attention mechanisms and feed-forward networks (FFNs). 2. **Decoder:** Another stack of similar layers, but with an additional output layer to generate text. **Pre-training:** GPT-3 was pre-trained on a massive dataset (~45 GB) of text from the internet, including books, articles, and websites. This process involves: 1. **Masked language modeling:** Randomly masking some tokens in the input text and predicting the original token. 2. **Next sentence prediction:** Predicting the next sentence in a sequence given the previous sentences. **Fine-tuning:** GPT-3 can be fine-tuned for specific tasks, such as: 1. **Language translation:** Translating text from one language to another. 2. **Summarization:** Summarizing long pieces of text into shorter ones. 3. **Question answering:** Answering questions based on the input text. **How it works:** When you give GPT-3 a prompt or input text, it: 1. **Tokenizes** the input into subwords (smaller units of words). 2. **Encodes** the tokenized input using the encoder layers. 3. **Generates** output tokens based on the encoded input and decoder layers. 4. **Post-processes** the generated text to refine its quality. GPT-3’s abilities are impressive, including: * Generating coherent text that appears to have been written by a human. * Understanding natural language and responding accordingly. * Learning from vast amounts of data and adapting to new tasks. Video credits :- @3blue1brown #artificialintelligence #ai #machinelearning #technology #datascience #python #deeplearning #programming #tech #robotics #innovation #bigdata #coding #iot #computerscience #data #dataanalytics #business #engineering #robot #datascientist #art #software #automation #analytics #ml #pythonprogramming #programmer #digitaltransformation #developer
#How Algorithms Work Reel by @inside.code - Graham scan algorithm animated! Full video in the YouTube channel #algorithms #computerscience #programming
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@inside.code
Graham scan algorithm animated! Full video in the YouTube channel #algorithms #computerscience #programming
#How Algorithms Work Reel by @sambhav_athreya - I've been asked many times where to start learning ML, so after talking to so many experts in this field, this is a good place to start. Comment dow
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@sambhav_athreya
I’ve been asked many times where to start learning ML, so after talking to so many experts in this field, this is a good place to start. Comment down below “TRAIN” and I’ll send you a more in-depth checklist along with the best GitHub links to help you start learning each concept. If you don’t receive the link you either need to follow first then comment, or your instagram is outdated. Either way, no worries. send me a dm and I’ll get it to you ASAP. #cs #ai #dev #university #softwareengineer #viral #advice #machinelearning
#How Algorithms Work Reel by @harpercarrollai (verified account) - How does the world translate into math for AI algorithms? @stanford @meta @harpercarrollai Have you thought about how your world can be translated
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@harpercarrollai
How does the world translate into math for AI algorithms? @stanford @meta @harpercarrollai Have you thought about how your world can be translated into algorithms? As always, please also leave your questions and requests in the comments! If we haven’t met yet, hi!! I’m Harper - a computer scientist for AI turned AI/ML educator, with 10 years of experience studying/engineering AI & ML at @Stanford, @Meta building AI/ML systems, and then as Founding Engineer and then Head of AI/ML at a startup acquired by @NVIDIA. It’s hard for me to see so much misinformation about AI online, so I’m here to provide trustworthy AI education :)
#How Algorithms Work Reel by @webwithwaleed - 🤖 Algorithm Explained... ‼️‼️ Looking for New Clients ‼️‼️ #capcut #edits #editing #editingskills #entrepreneur #business #marketingdigital #smma
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@webwithwaleed
🤖 Algorithm Explained... ‼️‼️ Looking for New Clients ‼️‼️ #capcut #edits #editing #editingskills #entrepreneur #business #marketingdigital #smma #video #videoedits #videoediting #aftereffects #premierepro #short #reelsinstagram #reels #tiktok #caption #captions #devinjatho #alightmotion
#How Algorithms Work Reel by @williamscottbiz - The algorithm isn't your problem. These five things are fixed them this week and watch what happens to your views.
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@williamscottbiz
The algorithm isn’t your problem. These five things are fixed them this week and watch what happens to your views.
#How Algorithms Work Reel by @h4cker_nafeed - Have U ever wonder how GPT works? No problem! Here's the information about how ChatGPT works using attention mechanisms and matrices: ChatGPT, deve
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@h4cker_nafeed
Have U ever wonder how GPT works? No problem! Here’s the information about how ChatGPT works using attention mechanisms and matrices: ChatGPT, developed by OpenAI, is based on the Transformer architecture, which relies heavily on attention mechanisms. Here’s a simplified breakdown of how it works: The core of the Transformer model is the attention mechanism, specifically self-attention. Self-attention allows the model to weigh the importance of different words in a sentence relative to each other. This means that the model can understand context by paying more attention to relevant words and less to irrelevant ones. The attention mechanism uses matrices to process and represent data. For each word, the model creates three vectors: Query (Q), Key (K), and Value (V). These vectors are derived through linear transformations of the input word embeddings. The model then calculates the attention scores by performing a dot product of the Query and Key vectors, normalizing them, and applying these scores to the Value vectors. This results in a weighted sum that represents the context for each word. To capture different aspects of the word relationships, the Transformer uses multi-head attention. This means that it performs the attention mechanism multiple times in parallel, with different sets of Q, K, and V matrices. The results are then concatenated and linearly transformed, providing the model with a richer representation of the input. Since Transformers do not have a built-in sense of word order, positional encoding is added to the input embeddings to give the model information about the position of words in a sentence. This helps the model to understand the sequence of words. After the attention mechanism, the model passes the results through a feed-forward neural network, which helps to further process and refine the information. #instagram #hacking #bughunting #cybersecurity #info #working #insta #reels #viral #status #trend #music #knowledge #chatgpt #ai

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