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Curated links from external sources — not 360Softy original articles.

ExternalCloud
Google Cloud Blog

Modernizing Healthcare: How Alcidion achieved greater stability and performance with AlloyDB

In clinical informatics, every second counts. For Alcidion, a global leader in smart health solutions, the mission is simple but critical: use technology to reduce cognitive load for clinicians and present the right information at the right time to save lives. Whether it’s managing patient flow in an emergency department or ensuring a patient is in the correct ward to avoid adverse outcomes, Alcidion’s flagship platform, Miya Precision, serves as a dynamic intelligent care platform for modern ho

AI & Machine LearningData AnalyticsCustomers
Google Cloud BlogRead original
ExternalSoftware Engineering
GitHub Blog

GitHub for Beginners: Answers to some common questions

Find the answers to some of the most common GitHub-related questions. The post GitHub for Beginners: Answers to some common questions appeared first on The GitHub Blog.

Developer skillsGitHubGitHub for beginners
GitHub BlogRead original
ExternalAI
AWS Machine Learning Blog

Evaluate your Amazon Nova Sonic voice agent at scale, no microphone required

In this post, we walk you through the Nova Sonic Test Harness, an open source framework that we built to solve both problems. It serves as a rapid iteration tool for tuning system prompts and tool configurations (run a conversation, see results, adjust, repeat) and as a comprehensive evaluation framework for validating voice agent quality at scale. It runs complete multi-turn conversations with Amazon Nova Sonic automatically, evaluates them using LLM-as-judge techniques, and can even detect cas

Advanced (300)Amazon NovaTechnical How-to
AWS Machine Learning BlogRead original
ExternalSoftware Engineering
DZone

Production-Grade RAG: Why Vector Search Isn't Enough (and How Hybrid Search Fills the Gaps)

Imagine your team just deployed a sleek RAG-based docs assistant for the SaaS platform you develop. In testing, it worked flawlessly. It knows your functionality and answers questions in three perfectly written paragraphs with no hallucinations. But two days after launch, a senior dev pokes you on Slack: "Hey man, the AI bot can't find anything on PX-9000-v2 configuration errors." You check the logs. The user queried the exact error code. Vector search, optimized for semantic meaning, returned d

DZoneRead original

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