3d ago · 15 min read · Why Current AI Agent Benchmarks Fail the Enterprise Why do most AI agent benchmarks fail to predict what actually happens in your production environment? Because they measure the wrong things, in the
Join discussionMay 15 · 8 min read · Picking an ASR model for production is not straightforward. Whisper might be the most accurate for general English but too slow for real-time use. Wav2Vec2 might be fast enough for edge devices but st
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May 8 · 6 min read · Benchmarking pgvector IVFFlat vs HNSW indexes for production RAG applications I've spent the last three months stress-testing vector indexes in production environments, and the results challenge conventional wisdom about when to use each index type. ...
Join discussionMay 8 · 6 min read · Benchmarking pgvector IVFFlat vs HNSW indexes for production RAG applications I've spent the last three months stress-testing vector indexes in production environments, and the results challenge conventional wisdom about when to use each index type. ...
Join discussionApr 30 · 7 min read · Most apps that claim "memory" don't have it. I spent 200 days testing AI companion apps. 15 platforms, every subscription paid out of pocket. What I found, consistently, is that "memory" in marketing
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Apr 17 · 7 min read · Measuring real-world hosting performance: what providers won't tell you about production load When selecting hosting infrastructure, most engineering teams compare advertised uptime percentages and basic response time benchmarks. These standard metri...
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Apr 7 · 8 min read · An LLM memory bench is a crucial tool for evaluating how well Large Language Models (LLMs) store, retrieve, and use information over time. It provides standardized tests to assess their ability to maintain context and recall past interactions accurat...
Join discussionMar 31 · 6 min read · TL;DR AI system benchmarks like MLPerf struggle to keep pace with the rapidly evolving model landscape, making it difficult for organizations to make informed deployment decisions. We believe benchmar
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