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Creating Text Embeddings Using Gemini (Python)
A practical guide to generating text embeddings using Google's Gemini embedding model. This covers API usage, batch processing, chunking strategies, and the invariants that matter for production embedding pipelines.
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Understanding Embeddings: The Semantic Backbone of LLMs
Embeddings are the semantic backbone of LLMs, transforming raw text into vectors that machines can understand. This article explores how embeddings evolved from simple statistical methods to the sophisticated contextual representations that power modern AI.
21 Jan 2025
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