SastaGPT
From-scratch Transformer implementation for large language modeling.
What we built
and why.
SastaGPT is a custom transformer-based chatbot that simulates GPT-style conversation for learning and research. Engineered as a compact, multilingual model that runs efficiently on limited hardware, it was deployed for AI workshops and educational use.
The problem
to solve.
Context
Generative AI · Education : Students and researchers wanted hands-on access to GPT-style conversation without the cost and compute of large commercial models.
Core Problem
The model had to balance natural dialogue, contextual understanding, and multilingual generation while staying light enough to run in classroom and research setups.
How we
built it.
A from-scratch transformer engineered for efficiency: compact layers optimized for inference, fine-tuned on open multilingual datasets, with context-management logic and a web-based interactive interface.
Model Design
Designed lightweight transformer layers optimized for faster inference.
Fine-Tuning
Fine-tuned on multilingual and domain-specific datasets.
Context Logic
Implemented context-management logic for coherent multi-turn responses.
Deploy & Test
Deployed via a web interface and tested live in AI learning workshops.
What got
shipped.
A compact, from-scratch transformer fine-tuned on multilingual conversational data, with context-management logic for coherence, served through a web-based interactive interface optimized for low-resource hardware.
Key Innovations
- Context-aware multi-turn conversation
- Multilingual / local-language generation
- Lightweight transformer for smaller hardware
- Custom-dataset integration for targeted domains
Obstacles Overcome
- Achieving contextual understanding with limited parameters
- Training accuracy on multilingual datasets
- Reducing latency during live interaction
- Ensuring deployment stability on small-scale hardware
What it
does.
4 core capabilities that define the product. Each engineered with a senior team, tested against real usage, and shipped to production.
Context-Aware Conversation
Maintains coherent context across multi-turn conversations.
Local Language Support
Multilingual text generation for students and researchers.
Lightweight Transformer
Compact architecture optimized for smaller hardware and faster training.
Custom Dataset Integration
Easy integration of custom datasets for targeted conversational domains.
The product,
end to end.
7screens from the shipped build. Every flow, every state. These aren’t renders, they’re production.
The impact,
measured.
Put a working, GPT-style transformer in the hands of students and researchers - a transparent, low-cost way to learn how modern language models actually work.
Built with.
SastaGPT proves you don't need a data center to teach (and learn) how transformers work - just careful engineering for the constraints you have.
Got a project that
needs this kind of build?
Tell us the problem. We’ll tell you if it’s a 2-week sprint or a 2-month platform, honestly, in the first call.
