Technology

Why We Built Our Own LLM

March 10, 2024
8 min read

Building a custom Language Learning Model (LLM) is no small feat. Here's why we took on this challenge and how it's revolutionizing our approach to Web3 interactions.

The Need for Specialization

While general-purpose LLMs are powerful, they often lack:

  • Deep understanding of blockchain terminology
  • Real-time awareness of crypto market dynamics
  • Ability to interpret smart contract code
  • Understanding of DeFi protocols and mechanisms

Our Development Process

Creating our specialized LLM involved several key steps:

  • Curating a massive dataset of blockchain-specific content
  • Fine-tuning base models on technical documentation
  • Implementing real-time data integration
  • Extensive testing with community feedback

Key Features

Our custom LLM excels in:

  • Technical analysis of blockchain projects
  • Smart contract interaction guidance
  • DeFi strategy optimization
  • Community governance participation

Results and Impact

The benefits of our custom LLM include:

  • 90% more accurate blockchain-specific responses
  • 50% faster problem resolution in technical support
  • Improved user engagement in DeFi protocols
  • Enhanced community education and onboarding

Our journey in building a custom LLM has not only improved our services but has also contributed to the broader advancement of AI in the Web3 space.