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Day 13 of learning AI/ML as a beginner. Topic: Word Embedding. I have discussed about one hot encoding, Bag of words and TF-IDF in my recent posts. These are the count or frequency tools that are a part of word embedding but before moving forward l

Day 8 of learning AI/ML as a beginner. Topic: Bag of Words (BOW) Yesterday I told you guys about One Hot Encoding which is one way to convert text into vector however with serious disadvantages and to cater to those disadvantages there's another on

Day 10 of learning AI/ML as a beginner. Topic: N-Grams in Bag of Words (BOW). Yesterday I have talked about an amazing text to vector converter in machine learning i.e. Bag of Words (BOW). N-Gram is just a part of BOW. In BOW the program sees sente

Hi, Medial team just watched your pitch in shark tank india good pitch, and congrats on getting the funding. it is an app where you never know what u r building and you are open to ideas it is a perfect fit for the app. when a person in front of you

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Use these prompts to finish more work in 2 hours than 95% of people do in 2 weeks: 1. Solve complex problems using First Principles Thinking Framework: Prompt: “I am having difficulty learning [insert topic]. Help me understand it better by using F

Most people don't even know these basics of LLM's. I've explained it in a simple way below. 1. 𝗗𝗮𝘁𝗮 𝗖𝗼𝗹𝗹𝗲𝗰𝘁𝗶𝗼𝗻 LLMs are trained on massive amounts of text from books, websites, articles, and documents so they can learn how language is

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30 AI Buzzwords Explained for Entrepreneurs 1) Large Language Model (LLM) LLMs are like super-smart computer programs that can understand and do almost anything you ask them using regular language. Think of tools like ChatGPT or Gemini – they're a