Source: thenewstack.io
Vector Databases: Long-Term Memory for Artificial Intelligence
Artificial Intelligence, such as https://thenewstack.io/beyond-chatgpt-exploring-the-openai-platform/, acts much like someone with endemic memory who goes to a library and reads every book. An AI hallucination refers to instances where an artificial intelligence system generates an output that may seem coherent or plausible but is not grounded in reality or accurate information.
Vector databases enable efficient and accurate search and analysis of high-dimensional data, making them essential for developing robust and efficient AI systems.
Vector databases are critical to many artificial intelligence (AI) applications, including recommender systems, image and video recognition, natural language processing (NLP) and anomaly detection.
In the realm of recommender systems, vector databases allow for the quick identification of items most relevant to users’ preferences.
Vector databases enable efficient and accurate search and analysis of high-dimensional data, making them essential for developing robust and efficient AI systems.
Vector databases are critical to many artificial intelligence (AI) applications, including recommender systems, image and video recognition, natural language processing (NLP) and anomaly detection.
In the realm of recommender systems, vector databases allow for the quick identification of items most relevant to users’ preferences.
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