Building Complex Multi-Agent Systems Using Pattern Prompting

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Embeddings: The Language of AI

Embeddings is one of the most important technologies underpinning GenAI. Therefore, understanding GenAI requires good intuition about embeddings, as they can be very useful in multiple ways, from analyzing prompts to deciding how to store documents. Think of embeddings as a special type of data format used by LLMs to represent the meaning of words and sentences in a way that machines can understand. They are a key part of what allows LLMs to understand language at a deeper level.

Embeddings are not just used inside LLMs; they can also be helpful for analyzing documents, improving prompts, and making search and retrieval more accurate. They are accessible through APIs, open-source tools, and vector databases