Algorithm R&D & Model Optimization
Algorithm R&D & Model Optimization
Algorithm capabilities that fit the business and stay reliable
Overview
Full-cycle algorithm engineering built on AI theory and algorithm software capabilities: custom algorithm development, model selection and fine-tuning, inference optimization and compression, effect evaluation and alignment, dataset construction — turning advanced algorithms into reliable productivity.
Key Capabilities
Model selection and fine-tuning balancing effect and cost
Inference optimization and compression: quantization, distillation, tuning
Effect evaluation and alignment with quantitative benchmarks
High-quality dataset construction, cleaning, labeling and management
Engineering delivery: algorithms as standard, testable, monitorable services
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