article thumbnail

GSAS Talk: Pragmatic Approach to Architecture Metrics – Part 1

Apiumhub

In their thought-provoking presentation titled “Pragmatic Approach to Architecture Metrics” at GSAS’22 organized by Apiumhub , Sonya Natanzon, and Vlad Khononov delivered valuable insights. Consequently, we assess the capacity of architecture to embrace change through various metrics. Whatever that is.”

Metrics 68
article thumbnail

What LinkedIn learned leveraging LLMs for its billion users

CIO

As an example, Bottaro referenced the part of the system designed to understand intent. Without automated evaluation, LinkedIn reports that “engineers are left eye-balling results and testing on a limited set of examples and having a more than a 1+ day delay to know metrics.”

Insiders

Sign Up for our Newsletter

This site is protected by reCAPTCHA and the Google Privacy Policy and Terms of Service apply.

Trending Sources

article thumbnail

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?

article thumbnail

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! . But to truly map cybersecurity efforts to business objectives, you’ll need what CompTIA calls “an organizational risk approach to metrics.”.

Metrics 52
article thumbnail

Simulation Theory, Observability, and Modern Software Practices

Honeycomb

s favorite three buzzwords (logs, metrics, and traces), we can draw several analogies to understand software development and debugging. The real vs. simulated systems In Baudrillard’s terms, the authentic experiences and the real have been replaced by symbols and signs ( logs , metrics , traces ).

article thumbnail

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.

article thumbnail

Empathetic Technology: The Future of Workplace DE&I?

Hacker Earth Developers Blog

This term covers the use of any tech-based tools or systems designed to understand and respond to human emotions. The kinds of things that count as empathetic technology include: Wearables that use physical metrics to determine a person’s mood. Customer service chatbots.