Perplexity CEO Aravind Srinivas 汇总近期开源成果:pplx-decider-v1-27b 多模态决策模型在 11 个基准平均 85.7%。
a few open source contributions from perplexity recently:
•pplx-decider-v1-27b: SoTA multimodal decision model. 85.7% average across 11 benchmarks, ahead of Jev.
•pplx-embed-v2-context-9b-preview: SoTA contextual embeddings, best on ConTEB and turbopuffer context-bench.
•Lily: local inference engine for Apple silicon. rust plus custom metal kernels, no pytorch or mlx. 1.23x faster prefill and 1.35x faster decode than MLX-LM on an M5 Max
•PII-Tracer: 0.6B on-device PII classifier that decides when a hybrid compute task stays on your Mac. beats OpenAI’s Privacy Filter on all 5 public benchmarks. also released with the PII-TRACE benchmark: 13k conversations in 13 languages
•WANDR: benchmark for wide and deep research agents. 500 tasks needing 170k source-backed records
•Numbat: agent detection and response for laptops and workstations. 52 rules, single go binary for macOS, linux and windows
•Bumblebee: read-only supply chain scanner for dev machines. covers packages, MCP configs, and editor and browser extensions.
a lot more open source contributions coming soon!
来源:Aravind Srinivas · x.com