A vector is a quantity or phenomenon that has two independent properties: magnitude and direction. The term also denotes the mathematical or geometrical representation of such a quantity. Examples of vectors in nature arevelocity, momentum, force,electromagnetic fieldsand weight. A quantity or phenomen...
uses the previously mentioned CLIP algorithm. Image synthesis models such as DALL-E, Midjourney and Stable Diffusion take text prompts as input, using CLIP to embed a vector representation of the text; that same vector embedding, in turn, is used by adiffusion modelto essentially reconstruct a...
All I did was to put the vector symbol over the zero. This makes it "the zero vector". In three dimensions it has the components 0 m/s, 0 m/s, 0 m/s. It is not a scalar. How Do You Describe a Vector? I actually have a very very very detailed post on the representation of...
In a machine-learning context, vector search is able to look at unstructured data — such as what’s in text, photos, or audio — and translate its context and meaning into numeric representation. This vectorization — converting words into numbers — lets the information be used for automating...
the semantic similarity of objects now becomes a function of proximity in a vector space. This numerical translation is known as a vector representation, which defines how objects are positioned and compared within the multidimensional vector space. This representation enables the precise calculation of...
App andweb development.Vector graphics are useful in application and web development because web apps and the graphics they contain must work with various screen sizes and device types. For instance, Amazon WorkLink is a mobile app that enables a fully interactive representation of corporate data on...
PQ converts each dataset into a short, memory-efficient representation. Only the short representations are stored, rather than all of the vectors. Similarity search based on querying or prompting Query vectors are vector representations of search queries. When a user queries or prompts an AI model...
So what goes into a vector embedding, and how is it created? Creating a vector embedding starts with a discrete data point that gets transformed into a vector representation in a high dimensional space. It's easiest to visualize in a low 3d space for our purposes. ...
What is pixelation?Pixelation occurs when an image is enlarged beyond its original resolution, causing the pixels to become visible and the image to lose detail. Pixelation can be avoided by using high-resolution images or vector graphics.
This is the compression stage: We've just replaced a vector of 128 numbers with a single number (the corresponding index in the codebook). In practice, a single quantizer layer would need a very large (indeed, exponentially large) codebook to represent the compressed data accurately. ...