The Prompt Engineering Cheat Sheet: How to Write Better AI Prompts

Learn prompt engineering with this practical cheat sheet that covers frameworks, techniques, and tips for producing more ...

Monitoring LLM behavior: Drift, retries, and refusal patterns

The offline pipeline's primary objective is regression testing — identifying failures, drift, and latency before production.
Security Boulevard

SAML vs OIDC vs OAuth 2.0: 12 Differences Every B2B Engineering Team Should Know

Choosing between SAML, OIDC, and OAuth 2.0? Explore 12 critical differences to help your B2B engineering team select the right authentication protocol today.
IEEE

AI-assisted JSON Schema Creation and Mapping

Abstract: Model-Driven Engineering (MDE) places models at the core of system and data engineering processes. In the context of research data, these models are typically expressed as schemas that ...
GitHub

danvoulez/Trajectory-Engineering-Base

"Chat & diamonds are forever." Este repositório fixa o baseline v1 do padrão Diamante: Schemas JSON Atomic (provas, proveniência e execução), OpenAPI para /quote, /redeem, /verify, /attest, CLIs ...
GitHub

Distinguish between schema value completion types (e.g. enum and default/example values)

Currently, the implementation of methods called by JSONCompletion.addSchemaValueCompletions (addEnumValueCompletions, addDefaultValueCompletions and so on) is such that enum and default values (such ...