Word Embeddings in 60 Seconds for NLP AI & ChatGPT

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welcome to word embeddings in 60 seconds  if you've ever worked with natural language   processing you've come across word embeddings  but what are they and why are they so useful   computers don't understand words they only  understand scalars vectors matrices and tenses   word embeddings are a way of representing words  as vectors by converting words into vectors we   can process them using math and apply them in  machine learning algorithms word embeddings   can capture the meaning of words and their  relationships to other words making them an   invaluable tool for tasks like classification  translation and sentiment analysis so how our   word embeddings generated one popular method  is called word to VEC which uses a neural   network to learn the relationships between  words based on their context it puts words   in a multi-dimensional space with words that  have similar meanings close to one another by   using word embeddings we can unlock the power of  natural language processing and better understand   the meaning behind the words we use every day  there you have it word embeddings in 60 Seconds
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Channel: Lucidate
Views: 4,142
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Keywords: chatgpt, chatgpt examples, chatgpt explained, neural network, transformers, ai transformer, ai, artificial intelligence, deep learning, deep learning explained, gpt3, openai, nlp, natural language processing, machine learning, attention, attention is all you need, attention is all you need explained, attention is all you need paper explained, what is chatgpt, how to use chatgpt, chatgpt tutorial, artificial intelligence transformer, how transformers work machine learning
Id: R3xHRSMCG5g
Channel Id: undefined
Length: 1min 9sec (69 seconds)
Published: Thu Mar 09 2023
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