npm package discovery and stats viewer.

Discover Tips

  • General search

    [free text search, go nuts!]

  • Package details

    pkg:[package-name]

  • User packages

    @[username]

Sponsor

Optimize Toolset

I’ve always been into building performant and accessible sites, but lately I’ve been taking it extremely seriously. So much so that I’ve been building a tool to help me optimize and monitor the sites that I build to make sure that I’m making an attempt to offer the best experience to those who visit them. If you’re into performant, accessible and SEO friendly sites, you might like it too! You can check it out at Optimize Toolset.

About

Hi, 👋, I’m Ryan Hefner  and I built this site for me, and you! The goal of this site was to provide an easy way for me to check the stats on my npm packages, both for prioritizing issues and updates, and to give me a little kick in the pants to keep up on stuff.

As I was building it, I realized that I was actually using the tool to build the tool, and figured I might as well put this out there and hopefully others will find it to be a fast and useful way to search and browse npm packages as I have.

If you’re interested in other things I’m working on, follow me on Twitter or check out the open source projects I’ve been publishing on GitHub.

I am also working on a Twitter bot for this site to tweet the most popular, newest, random packages from npm. Please follow that account now and it will start sending out packages soon–ish.

Open Software & Tools

This site wouldn’t be possible without the immense generosity and tireless efforts from the people who make contributions to the world and share their work via open source initiatives. Thank you 🙏

© 2024 – Pkg Stats / Ryan Hefner

llm-confidence

v1.0.0

Published

`llm-confidence` is a tiny utility designed to calculate the confidence levels of a given string in an LLMs output.

Downloads

2

Readme

llm-confidence

llm-confidence is a tiny utility designed to calculate the confidence levels of a given string in an LLMs output.

Let's say you ask an LLM "What is the capital of the United States?" and it responds with "Washington, D.C.".

This utility will tell you how confident the LLM is that "Washington, D.C." is the correct answer.

const confidence = getLLMOutputConfidence({
  model, // e.g. "gpt-3.5-turbo"
  value, // e.g. "Washington, D.C."
  logprobs: // logprobs array from the OpenAI completion
});

Installation

npm install llm-confidence

Usage

Note: at the moment, this package is only compatible with OpenAI.

import getLLMOutputConfidence from "llm-confidence";

const OPENAI_API_KEY = process.env.OPENAI_API_KEY;
const OPENAI_ORG = process.env.OPENAI_ORG;

const openaiAPI = new OpenAI({
  apiKey: OPENAI_API_KEY,
  organization: OPENAI_ORG,
});

const question = "What is the capital of the United States?";

const model = "gpt-3.5-turbo";

const completion = await openaiAPI.chat.completions.create({
  model,
  logprobs: true,
  messages: [
    {
      role: "system",
      content: "You are a helpful assistant and a geography genius.",
    },
    {
      role: "user",
      content: question,
    },
  ],
});

const [choice] = completion.choices;
const value = choice.message.content; // "Washington, D.C."

const confidence = getLLMOutputConfidence({
  model,
  value, // <-- The value you want to calculate the confidence of
  logprobs: choice.logprobs?.content ?? [],
});

console.log(`
I'm ${
  confidence * 100
}% confident that "${value}" is the correct answer to the question "${question}".
`); // "I'm 98% confident that "Washington, D.C." is the correct answer to the question "What is the capital of the United States?".

Caveat

Using logprobs for confidence calculations is not perfect. It's just one way to get a rough idea of how probable a set of tokens is.