Inferkit AI is a large language model router, allowing developers to quickly access and switch between multiple LLMs through the Inferkit API. Inferkit is dedicated to helping AI startup teams achieve their AI services faster and at a lower cost.

Why is the GPT interface so affordable?

Inferkit's GPT interface is designed for small and medium-sized AI teams. In the early beta phase, to attract more developers to help us refine our product, we offer subsidies to developers. We hope Inferkit GPT can help developers start their projects at a lower cost.

What is the difference between Inferkit GPT and OpenAI GPT?

Inferkit has made extensive engineering optimizations to the services of large model companies like OpenAI, LLama, and Anthropic, achieving more cost-effective and stable API access. There is no difference in the actual performance between the two.

How does Inferkit AI protect user privacy?

Apart from the necessary data for service maintenance, we do not save detailed Prompt data of users. We encrypt and store the basic information of users on our backend. Please rest assured when using our services.

Inferkit AI: Comprehensive platform for cost-effective and reliable AI development.

Name: Inferkit AI: Comprehensive platform for cost-effective and reliable AI development.
Rating: 5 (8864 reviews)
Author: toolify

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Large Language Models (LLMs)

Inferkit AI

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Introduction:

Comprehensive platform for cost-effective and reliable AI development.

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Jan 30 2024

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Large Language Models (LLMs)

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Inferkit AI Product Information

What is Inferkit AI?

Inferkit AI is a comprehensive platform featuring a collection of various APIs, including major models like OpenAI. It serves as a large-scale model routing component, designed to assist developers in building AI products more cost-effectively and reliably.

How to use Inferkit AI?

We offer a small amount of free quota to new users. Users can experience and debug on the Chat page, or create a Key for API testing. The specific calling method is consistent with OpenAI, and details can be found in the tutorial.