Embed sentence in the Framework Agreement in a few clicks

Aug 6th, 2022
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01. Upload a document from your computer or cloud storage.
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04. Send, export, fax, download, or print out your document.

Embed sentence in Framework Agreement – work smarter with DocHub

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Whether you deal with documents every day or only occasionally need them, DocHub is here to help you make the most of your document-based projects. This platform can embed sentence in Framework Agreement, facilitate collaboration in teams and create fillable forms and valid eSignatures. And even better, every record is kept safe with the top security requirements.

Follow these simple steps to embed sentence in Framework Agreement with DocHub:

  1. Start by creating your account or begin your free trial.
  2. Upload a Framework Agreement that requires editing, or create it from scratch.
  3. Edit, protect, annotate, and make your document interactive with fillable fields.
  4. Find the tool from the top toolbar to embed sentence in Framework Agreement and apply it.
  5. Proofread your content to ensure it is correct.
  6. Click Download/Export to save your record.
  7. Click Share and send and choose how you want to deliver your form to the recipients.

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How to embed sentence in the Framework Agreement

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73 votes

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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