DocHub allows you to embed sentence in Maintenance Agreement swiftly and quickly. No matter if your form is PDF or any other format, you can easily alter it utilizing DocHub's intuitive interface and robust editing capabilities. With online editing, you can change your Maintenance Agreement without the need of downloading or setting up any software.
DocHub's drag and drop editor makes customizing your Maintenance Agreement straightforward and efficient. We safely store all your edited documents in the cloud, allowing you to access them from anywhere, whenever you need. Moreover, it's effortless to share your documents with users who need to go over them or add an eSignature. And our deep integrations with Google products enable you to transfer, export and alter and endorse documents right from Google applications, all within a single, user-friendly platform. In addition, you can quickly transform your edited Maintenance Agreement into a template for repeated use.
All completed documents are safely stored in your DocHub account, are effortlessly handled and shifted to other folders.
DocHub simplifies the process of certifying form workflows from the outset!
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