Embed sentence in the Lesson Plan in a few clicks

Aug 6th, 2022
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Embed sentence in Lesson Plan. Simplify your document editing with DocHub

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  4. Find the tool from the top toolbar to embed sentence in Lesson Plan and apply it.
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How to embed sentence in the Lesson Plan

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foreign [Music] ER from cohere AI this video is about word and sentence embeddings word and sentence embeddings are the bread and butter of large language models why is this well the idea of language models is to get a computer to understand and process language however language is made by words whereas computers can only process numbers so word embeddings are a way to go from words to numbers so they associate each word with a list of numbers and sentence embeddings are the same thing they associate each sentence with a list of numbers but in a way that makes sense however I should clarify that this is not done by humans looking at the words and associating numbers that make sense no no this is done by a computer normally a neural network complicated model and what it does is that it looks at context so its two words appear a line in the same context it gets them closer and closer and closer same thing with sentences and at the end of the day you get some really really cool results l

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They are sometimes also known as an embedded clauses or as embedded relative clauses (if they begin with a relative pronoun). For example: Susie likes to play rugby at school. Susie, who is very sporty, likes to play rugby at school.
Word embeddings are a way to represent words and whole sentences in a numerical manner. We know that computers understand the language of numbers, so we try to encode words in a sentence to numbers such that the computer can read it and process it.
The bullet blew off the tip of his forefinger before embedding itself in the wall beside Williams head. This agreement will be embedded in a state treaty to be signed soon. You can embed your audio anywhere online. The articles are embedded with beautiful picture galleries or stunning interactive graphics or video.
There is glass embedded in the cut. The thorn was embedded in the cats paw. The rudder was embedded in mud. The fossils are embedded in hard sandstones.
An embedding can also just be thought of as a tool. One of the things we get from these embeddings is we map items - movies, texts for example the words in the housing description - to these low dimensional real vectors in a way that similar items are nearby.
What is Sentence Embedding? In NLP, sentence embedding refers to a numeric representation of a sentence in the form of a vector of real numbers, which encodes meaningful semantic information. It enables comparisons of sentence similarity by measuring the distance or similarity between these vectors.
A sentence embedding is a numerical representation of a sentence that captures its meaning and context. Unlike word embeddings, which represent individual words, sentence embeddings represent entire sentences.
For example, if the prompt is query: , then the sentence What is the capital of France? will be encoded as query: What is the capital of France? because the sentence is appended to the prompt.

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