A low-code pipeline to personalize conversational agents
Low-code and AI are now giving you the opportunity to adapt your chatbots to better fit the profile of your different users
Low-code and AI are now giving you the opportunity to adapt your chatbots to better fit the profile of your different users
A model-driven approach to automatically migrate neural network code across deep learning frameworks.
We present a privacy-aware query generation approach that identifies sensitive information in the knowledge graph and masks it before sending anything to the LLM. Our experiments indicate that this preserves query quality while preventing sensitive data from leaving your system.
With the latest release of BESSER, our platform now includes a no-code editor for designing GUIs and dashboards directly within the modeling environment
Smart data models described visually in UML can be directly turned into NGSI-LD compliant data models, drastically reducing the time between design and deployment in real-world systems.
A neural network metamodel and generators to create neural networks in a platform-independent way
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