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Cybersecurity Snapshot: Insights on Hive Ransomware, Supply Chain Security, Risk Metrics, Cloud Security

Tenable

Get the latest on the Hive RaaS threat; the importance of metrics and risk analysis; cloud security’s top threats; supply chain security advice for software buyers; and more! . Defending against Hive ransomware: It’s time to use the attackers’ tools ” (The Stack). Researcher develops Hive ransomware decryption tool ” (TechTarget).

Metrics 52
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How ML System Design helps us to make better ML products

Xebia

Table of Contents What is Machine Learning System Design? Design Process Clarify requirements Frame problem as an ML task Identify data sources and their availability Model development Serve predictions Observability Iterate on your design What is Machine Learning System Design?

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Testing the Question Answering Capabilities of Large Language Models

John Snow Labs

Furthermore, we’ll perform robustness testing for Large Language Models and evaluate them using various evaluation metrics, including Embedding Distance Metrics, String Distance Metrics, and QAEvalChain approach inspired by the LangChain library. Consider a QA system designed to provide medical advice.

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Empathetic Technology: The Future of Workplace DE&I?

Hacker Earth Developers Blog

This kind of tool allows you to store all your information in a secure database that links up your systems. ERP tools thus level the playing field, which is exactly what you need if you want to focus on DEI. This term covers the use of any tech-based tools or systems designed to understand and respond to human emotions.

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Bringing an AI Product to Market

O'Reilly Media - Ideas

The first step in building an AI solution is identifying the problem you want to solve, which includes defining the metrics that will demonstrate whether you’ve succeeded. It sounds simplistic to state that AI product managers should develop and ship products that improve metrics the business cares about. Agreeing on metrics.

Marketing 145
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Cluster Management in Cassandra: Achieving Scalability and High Availability

Datavail

Apache Cassandra is a highly scalable and distributed NoSQL database management system designed to handle massive amounts of data across multiple commodity servers. We will explore these tools and best practices for effective cluster monitoring, ensuring optimal performance and proactive troubleshooting.

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Sponsored Post: InMemory.Net, Triplebyte, Etleap, Stream, Scalyr

High Scalability

It's a tool (actually, multiple tools) that your entire team will love. Get visibility into your production issues without juggling multiple tabs and different services -- all of your logs, server metrics and alerts are in your browser and at your fingertips. The Solution to Your Operational Diagnostics Woes. Learn more today.