Sentence Embeddings

Sentence embeddings are a way to convert entire sentences into fixed-length numerical vectors that capture their meaning. Think of them as a compact representation of a sentence's context and essence, allowing computers to compare and understand different sentences more easily. By transforming text into these vectors, machines can determine how similar two sentences are, classify their topics, or retrieve relevant information. Essentially, sentence embeddings turn language into math, enabling more natural and effective interactions between humans and machines.