23 stories
The most ambitious companies are training specialized models to outperform the frontier in their domain. But we still turn to public benchmarks that track progress in generalized intelligence, not how a model performs on your real work.
In my day-to-day work, I process massive data volumes, wrestling with large-scale .parquet files, co ...
Rolling out an agentic workflow is the easy part. But after you launch, prompt injection attacks and ordinary errors can pile up without you noticing.
Earlier this year, leaders at Amazon Web Services delivered a new mandate to their engineers: They need to conserve CPU cycles at all costs. AWS has reportedly experienced an explosion in wait times for CPU server capacity as AI workloads strain the company’s cloud infrastructure.
One of the main and critical components of a retrieval augmented generation (RAG) pipeline is the embedding process, which forms the foundation for efficient information retrieval by transforming raw text into machine-readable vector representations.
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