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News
Perplexity's Q2D-Web Benchmark Tests AI Search on 190M Real Web Documents
4+ day, 16+ hour ago (291+ words) Perplexity released Q2D-Web, a large-scale benchmark with 190M documents and 70K agent-reformulated queries for evaluating retrieval in agentic RAG systems. Q2D-Web also targets a mismatch specific to agentic systems. Benchmarks typically use human-written queries, whereas RAG agents rewrite user requests into their…...
vLLM | AI Companies
4+ week, 1+ day ago (139+ words) Open-source LLM inference and serving engine, originated at UC Berkeley's Sky Computing Lab. Built around PagedAttention for efficient KV cache memory management, with continuous batching, tensor and pipeline parallelism, and quantization support (FP8, GPTQ, AWQ). Supports 200+ Hugging Face model architectures with…...