Abstract: The disclosed embodiments include systems and methods configured to provide a Generative AI framework that uses the power of multiple LLMs by separating the generative aspect into multiple distinct large language models. In some disclosed embodiments, a first large language model evaluates an input prompt and transforms it if needed (e.g., in a first processing stage of the framework); a second large language model performs a generative function based on an input prompt it receives from the first large language model (e.g., in a second processing stage); and a third large language model analyzes and as necessary transforms the output of the second large language model to ensure accuracy, no hallucinations, and no harmful content in the final generated response to the input prompt (e.g., in a third processing stage).

Abstract: The disclosed embodiments include systems and methods configured to provide a Generative AI framework that uses the power of multiple LLMs by separating the generative aspect into multiple distinct large language models. In some disclosed embodiments, a first large language model evaluates an input prompt and transforms it if needed (e.g., in a first processing stage of the framework); a second large language model performs a generative function based on an input prompt it receives from the first large language model (e.g., in a second processing stage); and a third large language model analyzes and as necessary transforms the output of the second large language model to ensure accuracy, no hallucinations, and no harmful content in the final generated response to the input prompt (e.g., in a third processing stage).

Abstract: The disclosed embodiments include systems and methods configured to provide a Generative AI framework that uses the power of multiple LLMs by separating the generative aspect into multiple distinct large language models. In some disclosed embodiments, a first large language model evaluates an input prompt and transforms it if needed (e.g., in a first processing stage of the framework); a second large language model performs a generative function based on an input prompt it receives from the first large language model (e.g., in a second processing stage); and a third large language model analyzes and as necessary transforms the output of the second large language model to ensure accuracy, no hallucinations, and no harmful content in the final generated response to the input prompt (e.g., in a third processing stage).