slug: predibase
provider: Predibase
generated_by: planning/capability-mapping/scripts/classify_capabilities.py
model: claude-opus-5
frame:
- Software & Technology
min_confidence: 0.7
capability_model:
  source: https://github.com/vincentmakes/turbo-ea-capabilities
  license: CC-BY-4.0
  attribution: Turbo EA Capabilities by Vincent Verdet — Turbo EA, https://github.com/vincentmakes/turbo-ea-capabilities,
    CC BY 4.0
  notice: NOTICE
edge_count: 3
edges:
- tag: Fine Tuning
  spec_file: predibase-fine-tuning-api-openapi.yml
  capability_id: BC-610.60
  capability_id_l1: BC-610
  capability_name: Artificial Intelligence Management
  confidence: 0.9
  evidence: POST /finetuning/jobs  Create a fine-tuning job
  reason: Fine-tuning job lifecycle (create, list, cancel) is explicitly ML model training — core AI/ML
    model lifecycle management.
- tag: Inference
  spec_file: predibase-inference-api-openapi.yml
  capability_id: BC-610.60
  capability_id_l1: BC-610
  capability_name: Artificial Intelligence Management
  confidence: 0.8
  evidence: POST /v1/chat/completions  OpenAI-compatible chat completion
  reason: Serving LLM inference/text generation is operation of AI models at runtime, falling under Artificial
    Intelligence Management.
- tag: Batch Inference
  spec_file: predibase-batch-inference-api-openapi.yml
  capability_id: BC-610.60
  capability_id_l1: BC-610
  capability_name: Artificial Intelligence Management
  confidence: 0.75
  evidence: POST /batch-inference/jobs  Create a batch inference job
  reason: Running batch LLM inference jobs is operation of ML models, part of the AI/ML model lifecycle
    and MLOps capability. Slight ambiguity since it is also generic job orchestration.