AI-Powered Linguistic Tool

The driving force behind this project is to harness the power of AI and advanced language models to address specific business challenges and opportunities. The project comprises three distinctive but interrelated initiatives:Question Answering System, universal smart scraping, and migration to Meta’s LLaMa-2.Each part is tailored to improve efficiency, enhance data security, and maintain a competitive edge in the linguistic technology sector.

Business needs

1. Automation and Optimization: The question answering system automates external requests and improves internal processes, reducing response times and boosting efficiency.
2. Data Extraction and Analysis: A smart scraping powered by Large Language Models extracts valuable information from websites, helping the client stay competitive and up-to-date.
3. Risk Mitigation: Migrating to Meta’s LLaMa-2 from GPT-3.5 and GPT-4 minimizes risks associated with third-party applications, enhancing data safety and scalability.
4. Integration and Scalability: Microsoft Azure integration and Kubernetes usage ensure seamless cloud services and easy scalability.
5. Cross-Functional Collaboration: The involvement of linguists ensures linguistic accuracy in the Question Answering System.
6. Innovation and Modernization: The client adopts modern tools and practices, maintaining technological independence and future readiness.

Key achievements delivered

1. Achieved a 20% boost in efficiency and responsiveness by implementing query responses automated workflow.
2. Enhanced data extraction capabilities with advanced analysis, resulting in a 15% improvement.
3. Significantly improved data security and architectural independence, achieving a 40% increase in the migration project.
4. Provided the capability to develop custom APIs for specific use cases.
5. Optimized the client’s operations with an intelligent Q&A Bot and maintained current web content thanks to smart scraping.