Core values of the Parlant framework
The Parlant framework is specifically designed to address two of the most prominent problems of large-scale language models (LLMs) in real-world applications: unpredictability and lack of controllability. Traditional LLM applications often face challenges such as models ignoring system cues, producing phantom responses, or failing to handle boundary cases.
The framework achieves precise control through an innovative Behavioral Guidelines mechanism. Unlike complex cue engineering that relies on LLM autonomy, Parlant allows developers to explicitly formulate rules in natural language to ensure that intelligences act strictly according to business logic in a given context. Through real-time self-criticism and context matching, the framework dynamically applies the relevant guidelines, achieving significantly better reliability than traditional approaches.
Parlant performs particularly well in areas where stability is critical, such as customer service, finance and healthcare, ensuring that the behavior of AI intelligences always meets preset criteria.
This answer comes from the articleParlant: an open source framework for providing reliable control of large language model intelligencesThe
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