AI Agents
AI agents for digital workflows with context, tool access, approvals and controlled working logic.
BxW Solutions
Fine-Tuning & Model Training
Fine-TuningModel TrainingEvaluationSynthetic Data
For AI systems with specific language, recurring classification logic or strict output formats, BxW prepares training data, synthetic examples and evaluation processes. Fine-tuning is used where context, prompting or retrieval alone do not carry the required precision.
Fine-Tuning & Modelltraining
Details
What It Covers
We develop training and evaluation foundations for AI systems that need more stable classification, extraction or output behavior.
Real examples, synthetic data, labels, output formats, test sets, model comparisons and fine-tuning steps form a quality cycle.
Model behavior becomes easier to test, compare and improve beyond prompt-level adjustments.
Implementation
Scope & Building Blocks
01
Data Basis
Training dataSynthetic dataExamplesLabels
02
Training
Fine-tuningModel comparisonParametersIteration
03
Evaluation
Test setsQuality criteriaError patternsComparison
04
Integration
Output formatsAPIsWorkflowsMonitoring
