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Added from claude/ruvector-lfm2-llm-01YS5Tc7i64PyYCLecT9L1dN branch: - examples/ruvLLM: Complete LLM inference system with SIMD optimization - Pretraining, benchmarking, and optimization system - Real SIMD-optimized CPU inference engine - Comprehensive SOTA benchmark suite - Attention mechanisms, memory management, router Enhanced postgres-cli with full ruvector-postgres integration: - Sparse vector operations (BM25, top-k, prune, conversions) - Hyperbolic geometry (Poincare, Lorentz, Mobius operations) - Agent routing (Tiny Dancer system) - Vector quantization (binary, scalar, product) - Enhanced graph and learning commands 🤖 Generated with [Claude Code](https://claude.com/claude-code) Co-Authored-By: Claude <noreply@anthropic.com> |
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| .. | ||
| bin | ||
| attention.rs | ||
| compression.rs | ||
| config.rs | ||
| embedding.rs | ||
| error.rs | ||
| inference.rs | ||
| inference_real.rs | ||
| learning.rs | ||
| lib.rs | ||
| memory.rs | ||
| orchestrator.rs | ||
| router.rs | ||
| simd_inference.rs | ||
| training.rs | ||
| types.rs | ||