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What is Liquid d1?

d1 is the first decision model introduced by Liquid AI, which offers answers to structured questions about a given situation by utilizing probabilities rather than generating text responses. This innovative model efficiently processes unstructured data, such as textual and visual inputs, along with one or more inquiries in a single, cohesive forward pass, yielding probabilities without producing traditional output tokens. It supports three specific question formats: noul for simple yes-or-no choices, choice for selecting from a set of labels with their corresponding probabilities, and score for evaluating inputs on a ranked scale using probability metrics. Additionally, d1 is capable of processing multiple questions at once within a single query, thereby boosting its effectiveness in real-time decision-making scenarios. Liquid AI demonstrates the versatility of d1 across various applications, including the filtering of support tickets, exploring code repositories, intelligently categorizing documents into folders, managing websites, summarizing agent context, inspecting industrial parts, and even participating in games based on screenshots. This wide array of applications showcases not only the model's adaptability but also its potential to transform decision-making processes across different industries, emphasizing a notable leap forward in the realm of decision-making technologies.

What is Clef?

Clef is an advanced multimodal decision-making model featuring 27 billion parameters, designed to convert a specified state and a schema of typed inquiries into organized results. This innovative model can process state information in multiple formats, such as text, JSON, images, and video, generating probabilities for each viable option associated with each inquiry. With a substantial context window of 65,536 tokens and the ability to process visual inputs, Clef allows developers to integrate both structured application data and visual content into a cohesive decision-making framework. It supports three unique formats for typed inquiries: noul, which evaluates the probability of a statement being accurate; choice, which facilitates selection from a set of predefined choices while offering probability estimates for each; and score, which measures an input against defined criteria to produce a probability-weighted score. Users can pose between 1 and 64 questions in a single request, with the answers being returned using the same identifiers, significantly improving the model's effectiveness and adaptability. This all-encompassing strategy guarantees that Clef can be utilized across various applications, catering to a wide spectrum of decision-making challenges and opportunities. Furthermore, the versatility of Clef's design makes it an invaluable tool for developers aiming to enhance their analytical capabilities in diverse fields.

Media

Media

Integrations Supported

Claude Opus 5.5
GPT-6.1 Sol
Hugging Face
OpenRouter
Vercel

Integrations Supported

JSON
Markdown
Python
TypeScript

API Availability

Has API

API Availability

Has API

Pricing Information

Free
Free Version
Free Trial Offered?

Pricing Information

Pricing not provided

Supported Platforms

SaaS

Supported Platforms

SaaS

Customer Service / Support

Web-Based Support

Customer Service / Support

Web-Based Support

Training Options

Documentation Hub
Webinars

Training Options

Documentation Hub
Webinars

Company Facts

Organization Name

Liquid AI

Date Founded

2023

Company Location

United States

Company Website

www.liquid.ai/blog/d1-decision-model

Company Facts

Organization Name

Cloudflare

Date Founded

2009

Company Location

United States

Company Website

developers.cloudflare.com/workers-ai/models/clef/

Categories and Features

AI Decision Models

Not specified

Categories and Features

AI Decision Models

Not specified

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