AI Training & Evaluation Platform
Marixion partnered with AFTERQUERY to contribute to the development of high-quality datasets used for training and evaluating Large Language Models (LLMs). The engagement focused on designing structured programming challenges and benchmark tasks that improve AI reasoning, coding accuracy, and software engineering performance.
Business Challenge
Large Language Models require carefully designed programming tasks and evaluation datasets to accurately measure coding capabilities and continuously improve model performance.
Our Solution
Our engineering team designed structured programming tasks aligned with real-world software engineering workflows. We also developed repository-based evaluation tasks enabling AI systems to analyze, understand, and solve programming problems across existing codebases.
Key Deliverables
Technologies Used
Value Delivered
Screenshots
Benchmark workflow screenshots
Task creation interface
Evaluation dashboard
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