AI Embeddings 101: Picking Models and Dimensions
Artificial Intelligence (AI) has revolutionized the way machines understand and process human language. At the core of many modern AI systems is the concept of embeddings. These dense vector representations translate textual or numerical data into a format that machine learning models can understand. Whether you’re building a recommendation engine, a chatbot, or a semantic search tool, choosing the right embedding model and dimensions can have a significant impact on performance.