Towards Data Science

A Practical Guide to OpenAI's New Decisions API

The article titled "A Practical Guide to OpenAI's New Decisions API" was published on Towards Data Science. It poses the question, "Is this the JEV killer?", suggesting a discussion about the impact of OpenAI's new Decisions API. The post appears to explore practical aspects of using this API and its potential significance.

Towards Data Science
Sep 22

An Introduction to Jev

The article titled "An Introduction to Jev" discusses an AI system that focuses on making decisions rather than generating text. It highlights Jev’s unique approach to decision-making within the broader context of AI development. The piece was originally published on Towards Data Science.

By Thomas Reid
Towards Data Science
Oct 15

Jev Your Engines: Seven Open Decision Models vs. a Generative LLM

The article compares seven open decision models with a generative large language model (LLM) in a hands‑on repository called Jev. It evaluates each model based on routing accuracy, latency, and output reliability. The comparison provides practical insights into how these models perform in real‑world scenarios.

By Lambert Leong
Simon Willison
Sep 21

Jev introduces a new shape of LLM - System One, aka Decision Models

TypeSafe AI’s new model, Jev, is a ‘System One’ or decision model that takes text or semi‑structured data as input and outputs floating‑point probabilities for yes/no, choice, or score questions, rather than text. It charges only for input tokens ($0.042/million) and offers free output, making it cheaper and faster than typical LLMs. The API lets users build a state object (string, array, or key‑value pairs) and query it with multiple questions, receiving confidence scores and probability distributions for each answer.

Simon Willison
Oct 6

llm-openai-decisions 0.1a0

Simon Willison announces the release of the llm-openai-decisions 0.1a0 plugin, which interfaces with OpenAI’s new Jev-style Decisions API. The plugin, inspired by llm-typesafe, supports image and text input and offers the same three question types (yes/no, choices, scores) as Jev, with pricing at 10¢ per million input tokens. Installation is simple via `llm install llm-openai-decisions`, and an example query demonstrates image-based evaluation.

OpenAI Blog
Dec 11, 2015

Introducing OpenAI

OpenAI is a non-profit artificial intelligence research company. Our goal is to advance digital intelligence in the way that is most likely to benefit humanity as a whole, unconstrained by a need to generate financial return.