By Paul GillinSource:
SiliconANGLE Databricks Inc. today expanded its Adaptive Instructed-Retriever search model to speed up response times for requests from artificial intelligence agents that require multiple rounds of retrieval. The company said the model is a retrieval building block for its Genie Code, Genie One and Genie Agents that matches the retrieval quality of several leading third-party and […]
The post Databricks adds adaptive search model to speed agent retrieval appeared first on SiliconANGLE.
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source & further reading
machinebrief.com — original article
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