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Generative AI and large language models
Retrieval-augmented assistants trained on your own documents, answering in Modern Standard Arabic and Kuwaiti dialect.
Case: assessment generation
A test-bank assistant built on a curated academic corpus
Prof. Salah Alnajem developed a generative AI assistant that creates test banks and examinations for the courses he teaches at Kuwait University. It is an enterprise-grade intelligent document assistant that implements Retrieval-Augmented Generation, combining Azure OpenAI’s GPT-4 with Azure AI Search to produce answers grounded in a curated knowledge base of academic documents rather than in the model’s general training.
Teaching materials and textbooks are ingested either as digital files or via OCR conversion, then combined with prompt engineering tuned to the assessment task. The result removes most of the manual effort in producing multiple versions of the same question across classes and exam sittings, and frees teaching time for curriculum development and instruction.
What it changed
- Consistency of question quality, style and formatting across every generated assessment.
- On-the-fly oral question generation for students with visual or hearing needs, in one-to-one sessions.
- Real-time streaming responses, semantic caching, and hybrid search combining keyword and vector similarity for retrieval accuracy.
- Deployed as a production web application on Microsoft Azure.
Case: Kuwait International Law School
Two assistants inside a law school
We designed a generative AI chatbot system for Kuwait International Law School and integrated it into the school website and its learning management system, enabling faculty and students to interact in classical Arabic and Kuwaiti dialect.
Admissions assistant
Answers applicants’ frequently asked questions about admission in natural language, trained on the school’s own admissions knowledge. Deployed on the admissions portal page of the college website.
Course-content assistant
Answers students’ questions on the substance of law texts, applied to the content of Explanation of the Kuwaiti Penal Code, Special Section by Dr. Faisal Al-Kandari, professor at Kuwait International Law School.
What we offer
We design intelligent chatbot systems using generative AI and large language models, so that users can interact linguistically with a computer through natural language processing and advanced machine-learning retrieval. In practice this means a system that answers questions about a defined body of knowledge — a set of FAQs, a book, a document archive — in Arabic or Kuwaiti dialect, and returns the answer in natural language rather than a list of links.
Where the material cannot leave your network, the same architecture runs against models hosted inside your own environment.
Start here
Tell us what your text is doing wrong.
Send us a sample — a set of citizen comments, a document archive, a support inbox — and we will come back with a written read on what is achievable, what it would take, and whether you need us at all.