2. Education: Pass your certification exam AI-103 PDF Questions: A Practical Azure Exam Study Guide
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Observability for Agents: Tracing a 40-Step Run
A forty-step run that went wrong is not one incident, it is forty decisions of which one or two were bad. Logging the request and the response gives you the first and the last. The debugging happens entirely in between.
Agent Memory: Short-Term, Long-Term and What's Just a Database
A model has no memory. It has a context window, which is re-sent in full on every request and forgotten completely between them. Everything marketed as agent memory is a decision about what to put in that window and where the rest is kept.
Error Recovery: What an Agent Should Do When a Tool Fails
An agent that crashes when a tool fails has thrown away the one capability that made it worth building. The model can read an error and try something else — but only if the error reaches it, in a form…
Stopping Conditions: Preventing Infinite Agent Loops
while True around a stochastic decision-maker is not a loop, it is a liability. Every agent needs several halt conditions, because each one catches a different pathology and none of them catches the…
OpenAI Delays Next Major AI Model 'Astra' Over Critical Hacking Concerns
OpenAI today said it is "pausing" activities involving its upcoming AI model Astra, because its cyber capabilities are potentially too dangerous. OpenAI says its newest internal evaluations show "significant advancements in agentic coding and cybersecurity," and it cannot rule out "critical cyber capabilities." Prior OpenAI models…