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What our customers say about pdfFiller
See for yourself by reading reviews on the most popular resources:
I needed some legal forms quickly in a divorce case. The forms were exactly what I wanted and needed. PDFiller allowed me to do it quickly and easily. The option to color filled in text would be great.
2014-07-31
I love PDFFiller, but I know I won't be using it often. I wish you guys have pay-per-use option instead of paying for a whole year. If not for this very important court doc I'm filling out, I won't even consider paying for a whole year.
2015-06-19
I am not a great computer application user but I found PDFfiller easy to use and figure out. I even was able to place an electronic signature on a document with a little trial and error. Very nice application that I will use more and more.
2015-07-09
Great app! I use it fill out and sign forms online. Before PDFfiller, I had to download, print, fillout and then scan completed forms to retain a digital copy.
2019-01-15
I'm still learning about it but its helping alot understand how things are stored and how I can open them faster and saved my documents I thought I lost it was here so yes I want to learn everything I can about it I'm new at this thanks so much
2023-01-16
I actually subscribed to PDF filler through our business. After we sold out business the new owners used a different service. However, I really rate this product so I subscribed to it personally to use when needed for signing anything. Really great web application!
2021-11-24
Nice service
Nice service, but would like a little more friendly option to save to computer without having to go through all the extra verification security steps.
2020-11-02
Because of distance learning, I am sending assignments to my GED students, and then send back the answers for them to self-grade. This allows me to fill in the assignment and send it back effortlessly!
2020-05-17
Perfect for merging multiple JPG images into a compact PDF
This app / web page allowed me to easily merge six JPG image files (each 2550x3300 pixels, some included photos) into a single compressed PDF document that was small enough (7MB) to be easily shared as an email attachment. Did exactly the job I wanted it to!
2025-07-02
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What is text embedding?
Text embeddings are the mathematical representations of words as vectors. They are created by analyzing a body of text and representing each word, phrase, or entire document as a vector in a high dimensional space (similar to a multi-dimensional graph).
What is an embedding?
In mathematics, an embedding (or embedding) is one instance of some mathematical structure contained within another instance, such as a group that is a subgroup. The precise meaning of “structure-preserving” depends on the kind of mathematical structure of which X and Y are instances.
What is mean by embedding?
Definition: Embedding refers to the integration of links, images, videos, gives and other content into social media posts or other web media. Embedded content appears as part of a post and supplies a visual element that encourages increased click through and engagement.
What is an embedding in machine learning?
Embeddings. An embedding is a relatively low-dimensional space into which you can translate high-dimensional vectors. Embeddings make it easier to do machine learning on large inputs like sparse vectors representing words. An embedding can be learned and reused across models.
What is the purpose of embedding?
Embedding is the process in which the tissues or the specimens are enclosed in a mass of the embedding medium using a mold. Since the tissue blocks are very thin in thickness they need a supporting medium in which the tissue blocks are embedded.
What is word embedding model?
Word Embedding → Collective term for models that learned to map a set of words or phrases in a vocabulary to vectors of numerical values. This technique is used to reduce the dimensionality of text data, but these models can also learn some interesting traits about words in a vocabulary.
What is meant by word embedding?
Word embeddings are a type of word representation that allows words with similar meaning to have a similar representation. That you can either train a new embedding or use a pre-trained embedding on your natural language processing task.
What is embedding model?
An embedding is a relatively low-dimensional space into which you can translate high-dimensional vectors. Ideally, an embedding captures some semantics of the input by placing semantically similar inputs close together in the embedding space. An embedding can be learned and reused across models.
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