Q&A bot for educational coursework queries
Questions-Generator and Answers-Finder Software
The Akaike Edge
Experienced ML and DL Ops teams
Efficient Deployment 0%
Ongoing Maintenance 0%
Selection and Usage of large language models- GPT3
To solve the problem, the primary task is to make the software system understand the language; hence, we selected the GPT-3 large language model. Large language models are computer programs that open new possibilities for text understanding and generation in software systems. Large Language Models (LLM) were selected to achieve the goals that use machine learning algorithms and can recognize, predict, and generate human languages on the basis of extensive text-based data sets and can solve NLP problems on zero-shot mode and query the model with a prompt. GPT3, Generative Pre-trained Transformer 3, is an autoregressive language model that uses deep learning to produce human-like text.
Syllabus provided as context to the model
The syllabus was provided as the context to the large language model. At the same time, to provide content moderation for kids' safety, separate models were trained based on kids’ safety filters. Also, custom models were trained and built for question generation for some specific subjects and a certain category of questions.
Transfer the model output to the school dashboard
AI system was integrated with the client’s platform providing different dashboards for students to solve their queries and teachers to generate automated questions. Educators were able to create Fill-in-the-blanks, MCQs, and descriptive-type questions automatically. Also, students could quickly get their questions answered automatically from their dashboards.
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