Useful Takeaway: A high level primer on vectors, vector embeddings and vector databases. Ever wondered how a computer learns the meaning of words like king and queen?
Understanding Vectorization A Simple Analogy - Research Snapshot
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Research Snapshot
Ever wondered how a computer learns the meaning of words like king and queen? The Cosine Similarity is a useful metric for determining, among other things, how similar or different two text phrases are. A high level primer on vectors, vector embeddings and vector databases.
Main Takeaways
A high level primer on vectors, vector embeddings and vector databases. Words are great, but if we want to use them as input to a neural network, we have to convert them to numbers.
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Relevant points collected here
- Words are great, but if we want to use them as input to a neural network, we have to convert them to numbers.
- Ever wondered how a computer learns the meaning of words like king and queen?
- A high level primer on vectors, vector embeddings and vector databases.
- The Cosine Similarity is a useful metric for determining, among other things, how similar or different two text phrases are.
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Readers often search for Understanding Vectorization A Simple Analogy because they want a broad question into more specific references.
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