Large Language Models in the DNA Ecosystem

LLMs, such as OpenAI’s GPT (Generative Pre-trained Transformer), are advanced AI systems designed to understand, generate, and interact with human language in a way that is both contextually aware and highly nuanced.

These models are trained on vast amounts of text data, allowing them to perform a wide range of language-related tasks such as translation, summarization, question-answering, and creative content generation.

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Mathematical Formulation and Notations

We now introduce the formulation and notations we will be using to describe our LLM inference algorithm. In essence, LLMs model a language sequence (w1 , w2 , · · · wN ) by computing the conditional distributions

Training and Uploading LLMs to DNA Layer OfflineBusiness Use Case: AI-Based Illegal Content Detection on Storage BlockchainsBusiness Use Case: Enhancing DAO Governance with AI through the DNA Layer