Large Language Models

Definition ∞ Large language models are advanced artificial intelligence systems trained on vast amounts of text data to comprehend and generate human-like language. These models can perform tasks such as translation, summarization, content creation, and answering questions with remarkable fluency. Their capabilities are increasingly being applied across various technological domains.
Context ∞ The integration of large language models (LLMs) into the cryptocurrency space is a developing area of interest, with potential applications in market analysis, sentiment tracking, and automated reporting. News coverage often explores how LLMs might assist in understanding complex blockchain data or generating insights from technical whitepapers. Ethical considerations and the potential for misinformation generated by these models are also prominent discussion points.

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→Code Correctness

→Smart Contract Security

→Non-Linear Constraints

Dependency Graphs and LLMs Enhance Formal Smart Contract Verification

SmartHalo framework uses Dependency Graphs and Large Language Models to semantically enrich decompiled bytecode, making formal verification of deployed contracts scalable and precise.

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→Pre Post Conditions

→Retrieval Augmented Generation

→Formal Verification

LLMs Automate Formal Verification Property Generation for Smart Contracts

Research introduces a Retrieval-Augmented Generation model to automate the creation of formal verification properties, dramatically lowering the security audit barrier and finding 12 zero-day vulnerabilities.

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→Bug Bounty

→Property Generation

→Pre Conditions

LLM-Driven Property Generation Automates Formal Smart Contract Verification

A Retrieval-Augmented LLM system automates the manual creation of formal contract specifications, dramatically scaling rigorous blockchain security.

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→Large Language Models

→Attention Mechanism Proof

→Private Computation

Zero-Knowledge Proofs Verifiably Secure Large Language Model Inference

A novel ZKP system, zkLLM, enables the efficient, private verification of 13-billion-parameter LLM outputs, securing AI integrity and intellectual property.

→Property Generation

→Cryptographic Assurance

→Decentralized Application Security

LLMs Automate Property Generation for Smart Contract Formal Verification

PropertyGPT leverages large language models and retrieval-augmented generation to automate the creation of formal verification properties, dramatically reducing the manual effort required for smart contract security.