PyTorch and TensorFlow
Deep learning frameworks for custom models. We help organisations build, train and deploy custom AI models using PyTorch and TensorFlow for tasks that require bespoke architectures.
What makes these frameworks different
PyTorch and TensorFlow provide the foundation for custom deep learning when pre-built models do not meet your requirements.
Custom model development
Build bespoke neural network architectures tailored to your specific data patterns and business requirements.
Production deployment
Proven track record with enterprise deployments. TensorFlow Serving, TorchServe and ONNX for scalable model serving.
Research to production
Active community and extensive documentation. Seamless path from research prototypes to production-grade models.
Use cases for PyTorch and TensorFlow
Computer vision
Image classification, object detection, segmentation and visual inspection models for manufacturing and retail.
Natural language processing
Custom text classification, entity extraction and language understanding models trained on domain-specific data.
Time series forecasting
Predictive models for demand forecasting, financial modelling and operational planning from historical data.
Anomaly detection
Custom models that identify unusual patterns in manufacturing, financial transactions or system behaviour.
Model fine-tuning
Fine-tune foundation models on proprietary data for domain-specific performance improvements.
Edge deployment
Optimise and deploy models to edge devices using TensorFlow Lite, PyTorch Mobile and ONNX Runtime.
Frequently Asked Questions
Should we use PyTorch or TensorFlow?
PyTorch is preferred for research and rapid prototyping. TensorFlow offers stronger production serving and edge deployment tools. We help you choose based on your specific requirements.
How can The Bot Forge help with implementation?
Our team provides end-to-end support, from model architecture design and training to production deployment and ongoing maintenance.
What are the typical use cases?
These frameworks are commonly used for computer vision, NLP, time series forecasting, anomaly detection and custom model development when pre-built solutions do not fit.
Build Custom AI Models
Ready to build bespoke AI models for your business? We can help you design, train and deploy with PyTorch and TensorFlow.