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Endigest AI Core Summary
IBM Research releases Mellea 0.4.0 and three Granite Libraries for building structured, verifiable, and safety-aware AI workflows on IBM Granite models.
•Mellea is an open-source Python library replacing probabilistic prompt behavior with maintainable AI workflows via constrained decoding and composable pipelines
•Mellea 0.4.0 introduces native integration with Granite Libraries through a standardized API that guarantees schema correctness via constrained decoding
•The instruct-validate-repair pattern is added via rejection sampling strategies for structured output correction
•Observability hooks enable event-driven callbacks to monitor and track workflows
•Three Granite Libraries are released for granite-4.0-micro: granitelib-core-r1.0 (requirements validation), granitelib-rag-r1.0 (agentic RAG pipelines), granitelib-guardian-r1.0 (safety and policy compliance)
•Each library uses LoRA adapters fine-tuned for specific tasks to increase accuracy without disrupting the base model
This summary was automatically generated by AI based on the original article and may not be fully accurate.
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