What is a vector? Vectors belong to the larger category oftensors. In machine learning (ML), “tensor” is used as a generic term for an array of numbers (or an array of arrays of numbers) inn-dimensional space, functioning like a mathematical bookkeeping device for data. ...
Statistical NLP introduced the essential technique of mapping language elements—such as words and grammatical rules—to a vector representation so that language can be modeled by using mathematical (statistical) methods, including regression or Markov models. This informed early NLP developments such as...
This blog offers an introduction to vector search and some of the technology behind it such as vector embeddings and neural networks.
The way Word2Vec functionally works is that each creates an n-dimensional coordinate mapping or a vector. In our above example, we have a 5-dimensional coordinate mapping; true vector mappings can have hundreds or thousands of dimensions, far too many for our minds to visualize or comprehend....
A vector database is an organized collection of vector embeddings that can be created, read, updated, and deleted at any point in time. Vector embeddings represent chunks of data, such as text or images, as numerical values. What is an Embedding Model?
1 What is a Vector Database? 2 What are Vector Embeddings? 3 What is RAG (Retrieval-Augmented Generation)? Embeddings are numerical machine learning representations of the semantic of the input data. They capture the meaning of complex, high-dimensional data, like text, images, or audio,...
Support Vector Machine 2. Unsupervised Machine Learning Unsupervised learningis a machine learning technique that uses unlabeled data to identify patterns and relationships. It does not require prior knowledge of the outcomes. Consider how Netflix recommends content depending on the user’s viewing behavi...
What’s Your Vector? Synopsys Introduces New ARC VPX6 Digital Signal Processor IP ByMarkus Willems Tags:AI & Machine Learning,Product Spotlight,Chip Design Insights,Design,Automotive,Processor Solutions,Silicon IP Read Article Blog 5 min read / Apr 02, 2025 ...
Why Do We Need IS-IS? Before the emergence of IS-IS, the Routing Information Protocol (RIP) was the most widely used IGP. RIP is a distance-vector routing protocol, which is gradually being replaced with IS-IS, due to the former's slow convergence, tendency to form routing loops, and...
Simply put, deep learning is a type of machine learning. Machine learning models are a form of AI that learns patterns in data to make predictions. Machine learning models like linear regression, random forests, k-nearest neighbors (KNNs), and support vector machines are fairly straightforward ...