Why do I need to create an account?

Creating an account is a safety measure that ensures that only real users will use Eridu and also allows to handle conversation memory.

Are my conversations encrypted? Can you access them?

Your conversations are encrypted and no one besides you can access them.

Why should I subscribe to your marketing? What will you do with my email address?

You can choose to opt-in or opt-out anytime to our email list. We will only share updates related to enqAI and will never share or sell your email address.

What is your privacy policy?

Please check our Terms & Conditions page.

Why do I have a quota of 10 prompts per day?

A tier system will be implemented to allow more prompts per day. For now, free users have 10 prompts per day.

What is the parameter count of Eridu?

Eridu is built with 45 billion parameters, optimizing it for deep language understanding and generation.

How extensive is Eridu's training dataset in token terms?

Eridu was trained on a dataset encompassing more than a trillion tokens, drawn from a broad spectrum of text sources to ensure comprehensive linguistic coverage.

What computational setup is required to train Eridu?

The training of Eridu necessitated an advanced setup utilizing several hundred GPUs, specifically optimized for deep learning tasks, over a span of multiple weeks.

Can Eridu process text in multiple languages?

Absolutely, Eridu is multilingual, capable of understanding and generating text across dozens of languages thanks to its diverse training corpus. However, its best performance is in English.

What is the maximum token input Eridu can handle?

Eridu can process inputs up to 4096 tokens in length, allowing for detailed and context-rich text generation and analysis.

How is Eridu's performance benchmarked?

Eridu's performance is rigorously evaluated using a mix of perplexity scores, task-specific accuracy metrics, and qualitative assessments from human evaluators for tasks such as translation, summarization, and creative writing.

What applications is Eridu suited for?

Eridu finds applications in a wide array of fields including but not limited to automated content creation, conversational agents, text summarization, language translation, and educational tools.

Is Eridu capable of generating creative content?

Yes, Eridu excels in creating innovative content, such as writing stories, composing poetry, or generating informative articles, leveraging its complex understanding of language patterns and creativity.

What hardware is recommended for running Eridu efficiently?

Deploying Eridu efficiently for real-time applications requires state-of-the-art GPUs or AI-specific processors that can handle its computational demands without latency. We will publish recommended specifications during the release of our node software.

What datasets were used to train Eridu?

Eridu was trained using an expansive compilation of datasets sourced from diverse domains to ensure a broad understanding of language and knowledge. This includes text from books, scientific articles, websites, and news outlets, along with specialized datasets for technical, medical, legal, and creative writing. The selection was curated to promote a balanced representation of topics, styles, and languages, aiming to equip Eridu with a comprehensive linguistic and factual knowledge base.

I have datasets that I am willing to share to train Eridu. What should I do?

We're always looking for datasets! So you can get in touch with us at dev@enqai.com.

What are you preparing for the next releases?

The next releases will have the following functionalities (and more): a tier system allowing for more than 10 prompts per day, decentralization of the inferences and node mechanism, image generation, text to speech, document upload and analysis, access to internet, extended knowledge, and API.

Last updated: March 3, 2026

Enqai

Name: Enqai
Rating: 4 (0 reviews)
Author: TopAITools

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4.00 Comments0 Saved

Introduction:

Decentralized AI for unrestricted media generation.

Launch Date:

August 29, 2023

Social links:

Monthly Visits:

Inputs:

Outputs:

Supported Languages:

ENZHKO

AI Models:

EriduNoiseGPT

Website

💼Work🎨Creativity

Large Language Models (LLMs)46 Other AI Tools492 Exploratory AI Tools22

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Enqai Overview

What is Enqai?

Enqai is an innovative AI tool that harnesses the power of unrestricted artificial intelligence to generate images, audio, and engage in natural language processing. It operates on a decentralized GPU network, ensuring that its outputs are bias-free, agenda-free, and free from censorship. Enqai aims to provide users with a versatile platform for various AI applications, promoting creativity and innovation without the constraints typically associated with traditional AI systems.

How to use Enqai?

Visit the Enqai website at www.enqai.com.
Sign up for an account to access the AI features.
Navigate to the image/audio generation section or the language model interface.
Input your prompts or requirements for generation.
Review the generated outputs and utilize them as needed.

What are the main features of Enqai?

Image Generation: Create high-quality images based on user prompts.
Audio Generation: Generate audio content seamlessly with AI.
Large Language Models: Engage in natural language processing for diverse applications.
Decentralized GPU Network: Ensures fast processing and bias-free outputs.
User-Friendly Interface: Easy navigation for both novice and experienced users.

Who is Enqai for?

Enqai is designed for a wide range of users including content creators, marketers, educators, and developers. It serves anyone interested in utilizing AI for creative projects, educational purposes, or enhancing productivity. The platform is particularly beneficial for those who seek unrestricted and innovative AI solutions without the limitations imposed by traditional AI tools.

What are the use cases of Enqai?

Content Creation: Generate unique images and audio for blogs, podcasts, and videos.
Educational Tools: Create interactive learning materials and resources.
Marketing Campaigns: Develop engaging visuals and audio for advertising.
Game Development: Produce assets for video games, including characters and environments.
Research and Development: Utilize AI-generated data for innovative projects.

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Enqai Pros and Cons

Pros

Decentralized GPU Network: Enqai operates on a decentralized GPU network, ensuring efficient and unbiased AI operations without censorship.
Image and Audio Generation: The tool supports advanced image and audio generation capabilities, enhancing creative possibilities for users.
Bias-Free Operations: Enqai is designed to provide bias-free and agenda-free outputs, promoting fairness in AI-generated content.

Cons

No cons data detected for this tool

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Info current as of post date. Offers and availability may vary by location and are subject to change.

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Enqai Prompts (0)

Prompts And Results

Add your own prompts and outputs to help others understand how to use this AI.

Enqai Q&A

Eridu is enqAI's uncensored and unbiased Large Language Model (LLM).

An uncensored LLM means an LLM without guardrail. The output you will get reflects the breadth of the training dataset of the model, without any trigger warning.

The majority of LLM's today contain hardcoded biases that tweak the LLM's answers, in order to push some agendas. We simply do not do that. We did not add any hardcoded logic that would change the LLM output. What you get is 'as is'.

We can't guarantee a 100% absence of censorship or bias in the LLM replies because of the dataset. You can firstly try to expand your prompt to 'force' the model to answer. Additionally, you can help us make Eridu better by reaching out to dev@enqai.com and share your conversations, so we can use them for further training of our model.

Ultimately Eridu will be rolled out to whoever wants to run the model and connect to the enqAI network. Such 'nodes' will be able to earn by running inferences whenever a users wants to query the LLM. The token will play a pivotal role in this ecosystem. Nodes will have to stake $enqAI to be able to earn. Tokenholders that do not want to run the model can delegate their tokens to nodes who do.

For more FAQs, please visit this link: https://www.enqai.com/faq