How Postman runs Agent Mode for 40 million developers on Amazon Bedrock
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An evaluation of six models across 11 work tasks found that strong performance on defined assignments did not extend to the judgment and standards needed for full automation.
New tools compare failed builds with earlier passing builds and retry jobs that failed for infrastructure reasons.
The effort pairs support for critical-infrastructure defenders with opt-in, model-generated security scans for open-source projects.
The proposed method steers model activations during inference, aiming to forget selected information while preserving responses to retained queries.
The company plans to use the funding to expand engineering, develop its Navigator platform and broaden its AI-enabled sustainment tools.
The field lets rules use reported security-detection failures to control how requests are handled.
Across three architectures and three data domains, researchers found routing information strengthened tests of whether examples were used for fine-tuning.
In a BIDMC clinic study, clinicians monitored AMIE consultations before urgent-care visits and reported benefits from its summaries.
The release brings service logs and agent traces into a shared view, with support for log search, SQL queries and recurring-issue detection.
Multiverse Computing says its method improved a model reduced to 60B parameters and quantized to 4 bits, beating the full-precision version on seven of nine benchmarks.
The 1.6-billion-parameter model supports five languages and reports results on Arabic and Emirati speech evaluations.
The four-year doctoral pilot will support about 100 fellows with training in Super Intelligence and core scientific disciplines.
Researchers say adding harmful-benign examples reduced false refusals from 32.94% to 4.16%, with genuine refusals changing little.
Researchers report that training on the beginnings and endings of reasoning traces can retain or improve supervised fine-tuning performance.