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White paper0
  • 👋Welcome
  • 🏢About us
  • For investors
    • 🌍Market and competitors
    • 💰Income for investors
    • 🎩Privileges for investors
    • 📈Investment strategy
    • 🪙Tokenomics
    • 🚀Growth potential
    • 👑Our vision for the future
  • Functional
    • 🌐Metaverse
    • 🔮Amberi neural network
    • 🎰Casino
    • 🧖‍♀️Webcam and strip club
    • 🔞Sex with NPCs and DeepFake
  • For users
    • 🤑Monetization
    • 👍Advantages
    • ❔How to use
  • Technical documentation
    • 🎨Graphics
    • 🌐Metaverse
    • 🪙Cryptocurrency
    • 🔮Amberi neural network
    • 🏷️Marketing
  • Problems
    • 🔧Realization of virtual reality
    • 🗣️Difficulties in training a neural network
    • 🤬Censorship
    • 📝Financing
  • Conclusion
    • *️Disclamer
    • 🔗Social media
    • 👋Conclusion
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  1. Problems

Difficulties in training a neural network

Considering that our neural network is used both as a translator and as a voice assistant, and also interacts with Unreal Engine 5 to build scenes, we face some difficulties in training and improving it.

We have a large user base whose requests will help the neural network learn and improve its performance, but this process can take from 6 to 24 months. During this time, we will continuously monitor and fine-tune the neural network to make sure it meets the needs of our users.

In addition, we are also working on improving the accuracy of our neural network. This process requires significant time and resources.

We also need to test and train our neural network based on real user requests. In the near future, Amberi will be available for testing on our website and telegrams.

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Last updated 2 years ago

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