benchmarked
6 stories and discussions about benchmarked, aggregated from every source we track.
Many agent memory systems accumulate duplicate and contradictory memories over time. To address this,...
I benchmarked the Jev model against an LLM agent on real browser navigation: 13x faster per task, and one setup mistake that broke every single test.
I work on AI evals and reliability for agentic systems. Skeptical of tooling hype, mostly because I keep measuring it.
91.5% recall at sub-millisecond latency from regex alone, 98.1% with a ML layer added — and the false positives that come with it. Full methodology, mapped to the OWASP Top 10 for LLM Applications.
Open source runtime to migrate DRF to FastAPI (and more to come) 🚚 - sankaHQ/sanka
Benchmark harness (Metal/CUDA/CPU quantum-simulation comparisons): github.com/waratahlabs/quantum-metal-bench