Future of SQL Coding
Natural-Language-to-SQL Engine
01
Natural-Language-to-SQL Engine
Fortuna Science’s Natural-Language-to-SQL engine understands and processes users’ requests in native languages and generates SQL code that directly fulfils users’ requirements.
The engine accelerates the process of establishing advanced solutions such that all businesses, large and small, can enjoy the future of coding.
03
Generative AI
Through machine learning and neural network technologies, Fortuna Science's GenAI model is readily capable to analyze and learn from huge volumes of data and lines of code about the logic, structures and flows, so as to generate original code based on its understanding of the requirements.
02
Dual Large Language Model
Fortuna Science's dual LLM design allows for integration of strengths from different models. In addition, the task-oriented models require fewer computational resources leading to better performance and cost-effectiveness. Needless to say, optimization and specialization of AI tasks improves accuracy and reliability.
04
Retrieval-Augmented Generation
With Retrieval-augmented generation (RAG), the accuracy and reliability of Fortuna Science's GenAI models are inherently enhanced with facts fetched from external sources. In addition, by clearing up ambiguity in user queries, the probability of hallucination is thereby lowered.