Page Summary: The Cosine Similarity is a useful metric for determining, among other things, how similar or different two text phrases are. Vector databases are rapidly growing in popularity as a way to add long-term memory to LLMs like GPT-4, LLaMDA, and LLaMA.
Understanding Vectorization A Simple Analogy -
The Cosine Similarity is a useful metric for determining, among other things, how similar or different two text phrases are. Vector databases are rapidly growing in popularity as a way to add long-term memory to LLMs like GPT-4, LLaMDA, and LLaMA. Ever wondered how a computer learns the meaning of words like king and queen?
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- The Cosine Similarity is a useful metric for determining, among other things, how similar or different two text phrases are.
- Vector databases are rapidly growing in popularity as a way to add long-term memory to LLMs like GPT-4, LLaMDA, and LLaMA.
- 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.
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