Scryptonaut.AI Assistant

Scryptonaut.AI Assistant is specifically trained to have the most in-depth, up-to-date, and relevant knowledge about Radix DLT and Scrypto, enabling it to provide better assistance than generalist AI assistants. By leveraging a curated dataset of several thousand data points, Scryptonaut.AI is fine-tuned to cover a wide range of user questions, from beginner to expert level.

Scryptonaut.AI Assistant is built on a Large Language Model (LLM). LLM assistants are designed to perform tasks, answer questions, or assist with specific needs. While organizations like OpenAI, Google, and Microsoft train their models on billions of parameters, this training process incurs significant monetary costs. Fine-tuning, on the other hand, allows for additional training to be added on top of a pre-trained model, making it less resource-intensive. In the case of Scryptonaut.AI, a carefully selected dataset of several thousand data points has been collected to ensure comprehensive coverage of Radix DLT and Scrypto-related topics.

Scryptonaut.AI Assistant is currently in its beta phase. As with any new technology, there may be instances where responses are incorrect or outdated. However, the team behind Scryptonaut.AI highly values user feedback and patience during this phase, as it plays a crucial role in refining and improving the assistant's capabilities. The project adopts a community-driven approach, encouraging users to actively participate in its evolution.

Contributions from the community are highly encouraged. If you possess data, knowledge, or insights related to Radix DLT and Scrypto, you are welcome to reach out to wizzl0r on Telegram and Discord to submit information that can contribute to further training and enhancement of Scryptonaut.AI. The aim is to create a dataset, model, and training methodology that will be publicly available and open source once matured.

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