Reuven 59655d064a feat(ruvllm): Add Core ML/ANE backend with Apple Neural Engine support ... - Add Core ML backend with objc2-core-ml bindings for .mlmodel/.mlmodelc/.mlpackage - Implement ANE optimization kernels with dimension-based crossover thresholds - ANE_OPTIMAL_DIM=512, GPU_CROSSOVER=1536, GPU_DOMINANCE=2048 - Automatic hardware selection based on tensor dimensions - Add hybrid pipeline for intelligent CPU/GPU/ANE workload distribution - Implement LlmBackend trait with generate(), generate_stream(), get_embeddings() - Add streaming token generation with both iterator and channel-based approaches - Enhance autodetect with Core ML model path discovery and capability detection - Add comprehensive ANE benchmarks and integration tests - Fix test failures in autodetect_integration (memory calculation) and serving_integration (KV cache FIFO slot allocation, churn test cleanup) - Add GitHub Actions workflow for ruvllm benchmarks - Create comprehensive v2 release documentation (GITHUB_ISSUE_V2.md) Performance targets: - ANE: 38 TOPS on M4 Pro for matrix operations - Hybrid pipeline: Automatic workload balancing across compute units - Memory: Efficient tensor allocation with platform-specific alignment Co-Authored-By: Claude Opus 4.5 <noreply@anthropic.com>		2026-01-19 17:32:08 -05:00
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benchmarks	feat: Add Neo4j-compatible hypergraph database package (ruvector-graph)	2025-11-25 23:11:54 +00:00
workflows	feat(ruvllm): Add Core ML/ANE backend with Apple Neural Engine support	2026-01-19 17:32:08 -05:00