Fine-Tuning & Model Training
Fine-tuning and model training with training data, synthetic examples, test sets and model comparisons.
Model TrainingAI
BxW Solutions
Multi-Agent Systems
Multi-AgentRole LogicHandoversQuality Assurance
Multi-agent systems are relevant where complex work does not fit into a single role. Analysis, research, structuring, review, evaluation and implementation can be mapped into specialized AI roles. For these setups, BxW develops architectures where tasks, handovers, context, tools and approvals work together cleanly.
Multi-Agent Systems
Details
What It Covers
We develop multi-agent systems for requirements that need several roles, data sources, work steps, review mechanisms or system handovers.
Specialized AI roles work with clear tasks, contexts and boundaries. Handovers, rules, tools and approvals turn individual work steps into a controlled flow.
Complex work becomes more structured, traceable and easier to guide. Results emerge from a directed system of roles, control and quality.
Implementation
Scope & Building Blocks
01
Roles
ResearchAnalysisStructuringReview
02
Flow
HandoversStatesRulesApprovals
03
Systems
APIsWorkflowsDatabasesInternal tools
04
Quality
MonitoringError logicControlFurther development
