Docs:

Mon, 01 Jan 0001 00:00:00 +0000

AI configuration by OB

The following information applies to both Spain and Brazil; there will not be separate blocks for each OB.

Introduction

LLMs UCs are configured and located within the aura-config-provision repository. See the TV LLM Triage Preset (notice that in the url, the field [ob] needs to be replaced by [es] or [br]) LLM use cases have been designed to provide a fallback mechanism for user requests that currently return a ‘None’ intent or zero results, offering a second chance for classification and response generation.

Intents

This UC can classify the user’s query into three different intents:

intent.tv.retrieve: This intent will be returned when the user is searching for either generic or specific TV content or when the user seeks TV content recommendations and explicitly refers to TV content entities. Examples: “Muestra películas dirigidas por Quentin Tarantino”, “¿Qué documentales me recomiendas?”.
intent.conversational.search: This intent will be returned for user queries involving generic searches or advanced suggestions that do not explicitly reference TV content entities. Examples: “Recomendaciones avanzadas”, “Quiero ver algo en la tele”.
intent.none: This intent will be returned for any request that is not covered by the two use cases outlined above. Examples: “Cambia a Telecinco”, “Avanza 5 minutos”, “Pon una alarma”.

LLM output format

Examples:

Input	Output
“Recomendador avanzado”	`{"intent": "intent.conversational.search"}`
“Pon películas de Netflix de Almodovar y Tarantino”	`{"intent": "intent.tv.retrieve"}`
“Patatas fritas”	`{"intent": "intent.none"}`

Aura –

Docs:

AI configuration by OB

Introduction

Intents

LLM output format