Abstract: The incorporation of large language models (LLMs) in company software amplified the necessity for efficient AI orchestration systems. Microsoft Semantic Kernel is an optimized open-source ...
“Each new service that we add to our architecture requires a lot of work across different teams. Since we already had native vector support with Azure SQL Database, we only had to write the code that ...
This sample app demonstrates how to create technical documents for a codebase using AI. More specifically, it uses the agent framework offered by Semantic Kernel to ochestrate multiple agents to ...
from semantic_kernel.connectors.ai.function_choice_behavior import FunctionChoiceBehavior from semantic_kernel.connectors.ai.open_ai import ( # the joke plugin in the FunPlugins is a semantic plugin ...
Unlock the full InfoQ experience by logging in! Stay updated with your favorite authors and topics, engage with content, and download exclusive resources. Dany Lepage discusses the architectural ...
In this tutorial, we build a fully stateful personal tutor agent that moves beyond short-lived chat interactions and learns continuously over time. We design the system to persist user preferences, ...
Abstract: Semantic mapping aims to construct a 3D semantic representation of the environment, providing essential knowledge for robots operating in complex outdoor settings. While Bayesian Kernel ...
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