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FAQ

Last Updated: April, 2024


Eridu
What is Eridu?

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

What does "uncensored" mean?

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.

What does "unbiased" mean?

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".

What if I get answers that are still censored or biased?

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.

Is Eridu decentralized? What is the role of the crypto token $enqAI?

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.

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.


General
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):

  • 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
  • API
How can I contribute?

Contact us at dev@enqai.com


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