Best AI Decision Models for Hugging Face

Laya AI represents a family of open source, non-autoregressive decision models focused on rapid, structured decision-making rather than generating free-form text. It processes a given state along with structured inquiries in a single pass, producing outputs that can be directly utilized by application code. The system encompasses three types of decisions: choice, which identifies among predefined options and yields probabilities; score, which assesses an input based on a ranked scale like urgency or severity; and noul, which estimates the likelihood of a proposition's truthfulness. Tailored for a variety of tasks, Laya can efficiently handle agent and model routing, support ticket triage, and risk assessment, among other applications. Its capabilities include directing requests to the appropriate department, evaluating urgency levels, identifying potential refund or churn indicators, and recognizing policy violations or abuse scenarios. Furthermore, it has the ability to escalate ambiguous situations to more advanced models or human reviewers for additional scrutiny. Ultimately, Laya AI stands out for its versatility and efficiency in decision-making processes across diverse operational needs.

d1 represents the inaugural decision model from Liquid AI, designed to provide answers to structured inquiries regarding a scenario through probabilities instead of generating textual responses. This model processes unstructured data, including text and images, alongside one or more questions in a single streamlined forward pass, delivering probabilities without producing output tokens. It accommodates three distinct question formats: noul for binary yes-or-no decisions, choice for selecting from various labels with associated probabilities, and score for assessing an input along an ordered scale using probability-based levels. Furthermore, d1 can evaluate multiple questions simultaneously within a single request, enhancing its utility in real-time decision-making processes. Liquid AI showcases d1 in various applications, including filtering support tickets, navigating code repositories, categorizing documents into intelligent folders, managing websites, condensing agent context, inspecting industrial components, and even engaging in gameplay from screenshots, illustrating its versatile capabilities. This model's ability to handle diverse data types and provide rapid responses indicates a significant advancement in decision-making technology.