📖 Learn The Concepts

I-GPT, an AI model tailored for all things related to the I-GPT blockchain, operates on fundamental concepts crucial for its functionality.

This manual offers a comprehensive guide to I-GPT, detailing the foundational principles that drive its capabilities. It is tailored for a diverse audience, from developers and researchers to AI enthusiasts, aiming to shed light on the power and sophistication behind I-GPT's functionalities.

Key Concepts of I-GPT:

• Natural Language Processing (NLP): I-GPT harnesses NLP algorithms to decipher and process input, ensuring relevant responses to user queries.

• Transformer Architecture: I-GPT's strength in sequential data processing, especially text, stems from its transformer architecture, which bolsters its ability to tackle complex tasks.

• Pretrained Language Model: Its comprehensive training across varied datasets—including Blockchain Technologies, Crypto, Technical Analysis, and Security Audits—endows I-GPT with a vast spectrum of functionalities.

• Generative Model: As a generative AI, I-GPT produces consistent and contextually relevant content based on received prompts. This makes it adept at addressing queries about Blockchain and Crypto.

• Fine-Tuning: This pivotal phase refines I-GPT by purging inaccuracies and fortifying the AI with a richer knowledge base.

• Tokenization: By segmenting text into smaller units like words or subwords, tokenization empowers I-GPT to efficiently analyze and understand the given input.

• Contextual Awareness: With its innate contextual awareness, I-GPT discerns the nuances of a conversation, ensuring the delivery of accurate and fitting responses.

Equipped with an understanding of these core concepts, users are better poised to harness I-GPT's prowess, making it an invaluable asset for delving into the intricacies of the I-GPT blockchain and the expansive realm of AI.