Pilot

In the GPT Lab, we have conducted extensive experiments on large language models (LLMs), focusing on:

  • Fine-tuning LLMs for domain-specific applications
  • Retrieval-Augmented Generation (RAG) to enhance AI responses with external knowledge
  • Developing AI-powered applications using fine-tuned LLMs, RAG, and other advanced AI technologies

We have also gained expertise in Explainable AI (XAI) and continuously explore methods to improve trustworthiness, transparency, and explainability in AI solutions. Our research covers model interpretability, bias mitigation, and ethical AI frameworks to ensure responsible AI usage.

We are currently assessing the specific needs of SMEs and organizations to tailor our solutions to industry requirements. Upon agreeing on the needs of companies, we will offer customized AI solutions, including:

  • AI-driven automation systems
  • Fine-tuned LLMs for specialized domains
  • Trustworthy AI frameworks
  • Transparent and explainable AI solutions

These solutions will be provided to companies for further development, integration, and deployment in real-world applications.