AI Model and Training

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What It Is?

Custom AI model development tailors algorithms to a company’s specific domain, ensuring relevance, accuracy, and scalability.

Technical Approach:

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       •        Model architectures: Transformers for NLP, CNNs for images, GNNs for networks.
       •        Fine-tuning: Adapting foundation models (e.g., GPT, BERT, LLaMA, GLM) on domain-specific datasets.
       •        Hyperparameter optimization: Bayesian search, grid/random search.
       •        MLOps: Automated pipelines for CI/CD of models (Kubeflow, MLflow, Weights & Biases).
       •        Monitoring: Drift detection, retraining schedules.

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Applications:

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       •        Healthcare: HIPAA-compliant NLP models.
       •        Finance: Regulatory-aware fraud detection.
       •        Retail: Recommendation systems optimized for customer segments.

Think of it as haute couture intelligence—bespoke AI crafted to fit your business perfectly, stitched with data and lined with compliance.

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