Customer Identity Access Management
PulseAugur coverage of Customer Identity Access Management — every cluster mentioning Customer Identity Access Management across labs, papers, and developer communities, ranked by signal.
1 day(s) with sentiment data
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LLM tool calls debugged with execution receipts
This article proposes a system for debugging Large Language Model (LLM) tool calls by treating each call as a transaction with an execution receipt. This receipt, stored within the tool adapter, contains minimal data li…
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AI needs explicit meaning and trust for enterprise data
AI agents require more than just basic schema information to reliably interpret enterprise data. The data model must explicitly communicate meaning, structure, relationships, usage rules, and trust factors to enable AI …
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Feature stores solve ML training-serving drift and target leakage
Feature stores are essential for production machine learning, addressing the critical problem of feature definition drift between training and serving environments. This drift can silently degrade model performance, par…
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LLM Ops: Detect Eval Drift and Track Customer Costs
The author discusses two common challenges in managing LLM applications: eval set drift and per-customer cost reporting. For eval set drift, they propose using Maximum Mean Discrepancy (MMD) on embeddings to detect when…