DocHub provides a smooth and user-friendly solution to embed sentence in your Community Service Certificate. No matter the characteristics and format of your form, DocHub has all it takes to ensure a simple and hassle-free editing experience. Unlike other services, DocHub shines out for its excellent robustness and user-friendliness.
DocHub is a web-driven solution allowing you to change your Community Service Certificate from the convenience of your browser without needing software downloads. Owing to its intuitive drag and drop editor, the option to embed sentence in your Community Service Certificate is quick and easy. With versatile integration capabilities, DocHub allows you to transfer, export, and modify documents from your selected program. Your updated form will be stored in the cloud so you can access it readily and keep it safe. In addition, you can download it to your hard disk or share it with others with a few clicks. Also, you can convert your form into a template that prevents you from repeating the same edits, such as the ability to embed sentence in your Community Service Certificate.
Your edited form will be available in the MY DOCS folder in your DocHub account. Additionally, you can use our editor panel on right-hand side to merge, divide, and convert files and reorganize pages within your papers.
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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
