DEEPNIGHT ai1

The 600 Billion+ Parameter Model. Yes! We did this!

The second largest model in the world, right after GPT-4.

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We at DEEPNIGHT have been working on this for quite some time. We have successfully built the second largest model called ai1 which comes with 600 Billion+ parameters.

ai1 can perform as good as GPT-4 and has a context-window of 8k tokens. ai1 was trained with a new approach where after training the model on a corpus of text from various sources including but not limited to:

• RefinedWeb
• Opensource code from GitHub
• Common Crawl we fine-tuned the model on a huge dataset (generated manually and with automation) for logical understanding and reasoning. We also trained the model for function calling capabilities.

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What is special about ai1?

ai1 works on a chaining methodology which is built-in. When it receives an input from the user, it tries to understand the input before acting on generation. It generates an instruction-based prompt internally and then works on generation of the response. Benefit of this? We'll just say the jobs of Prompt Engineering are over.

Unlike ChatGPT, GPT-4, Llama, and other models, ai1 doesn't require heavy prompt engineering to provide answers. The understanding-development phase in the model takes care of that.

What else?

• performs as good as GPT-4
• excels in automation tasks
• can predict emotions of the user by the conversation (while understanding the input in Phase-1) resulting in better and curated generations.
• has an understanding towards human-emotions which helps the model curate the content accordingly
• excels in roleplays
• excels in writing code
• the model has a few global memory units which are used to store data away from the context-window. These memory units are mostly used to store the function schemas but in the end the model decides itself what to store in them.
• if we consider how much would it cost, well, on an average $0.005 per 1000 tokens.

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Future goals

We don't discuss that. Specially after seeing how SOME AI COMPANY ON THEIR DEV DAY just used the opensource research and publications to profit themselves... Hah.

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Are we going to allow access?

Not for some time. We are still running evaluations and have a lot to learn about how this model can be made better.

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Feel free to reach out to us at research@deepnight.tech

• Team DEEPNIGHT