Lamini
lamini.aiLamini helps teams fine-tune and adapt AI models with an end-to-end workflow for training, batch generation, and evaluation. It’s designed to streamline the full lifecycle—from preparing datasets to running jobs and reviewing outputs—so teams can iterate faster and understand performance changes with less manual coordination.
When you connect Lamini, BOBs can manage fine-tuning as a complete job lifecycle: ingest the right dataset, start training or batch runs, produce completions for your target prompts, and then trigger evaluation to compare outputs against your success criteria. With job status updates flowing in as work progresses, BOBs can keep you informed, recover from delays, and continue the next step automatically.
This makes fine-tuning practical for ongoing iteration—like refreshing a model with new labeled data, running batch generations for evaluation cohorts, or re-running jobs when dataset versions change. Teams can also offload repeatable R&D tasks such as generating consistent test completions, packaging evaluation summaries, and routing results to the right stakeholders or downstream systems for decision-making.
Actions supported by this integration include: Create Fine-Tune Job, Upload Dataset, Generate Completion, Get Batch Completions, and Evaluate Job. Events supported: New Job Status.
What can BOBs do with Lamini?
Perform actions
- Create Fine-Tune Job
- Evaluate Job
- Generate Completion
- Get Batch Completions
- Upload Dataset
Listen to real-time events
- New Job Status