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Use Git data to optimize your developers’ annual reviews

TechCrunch

So here’s a run down of why you need data to set up a fair annual review process; if not this year, then you can kick-start it for 2021. That means that after you’ve set it up, it will be updated regularly on the engineer’s progress using indicators directly from the code repository. Use data to set next year’s goals.

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LLM benchmarking: How to find the right AI model

CIO

Whether its about selecting a chatbot for customer service, translating scientific texts or programming software, benchmarks provide an initial answer to the question: Is this model suitable for my use case? Reference-free metrics: These metrics evaluate the quality of a generated text independently of a reference.

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When is data too clean to be useful for enterprise AI?

CIO

For many organizations, preparing their data for AI is the first time they’ve looked at data in a cross-cutting way that shows the discrepancies between systems, says Eren Yahav, co-founder and CTO of AI coding assistant Tabnine. But that’s exactly the kind of data you want to include when training an AI to give photography tips.

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How to Measure the Effectiveness of Recruitment and Selection Process

Hacker Earth Developers Blog

The key lies in using data-driven insights, evaluating key metrics, and continually optimizing the process. Time to Hire One of the most commonly used metrics to evaluate recruitment effectiveness is the “Time to Hire” (TTH). This metric tracks the amount of time it takes to move a candidate from application to hire.

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How Skills-Based Hiring Lays the Foundation for Inclusive Recruitment Practices?

Hacker Earth Developers Blog

Skills-based hiring leverages objective evaluations like coding challenges, technical assessments, and situational tests to focus on measurable performance rather than assumptions. However, by shifting to a skills-based model using HackerEarth: The company deploys a coding challenge open to all applicants.

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Calculating The Cost of Software Quality in Your Organization

OverOps

The following is a guest post from Herb Krasner, an Advisory Board Member for the Consortium for IT Software Quality (CISQ) and industry consultant for 5 decades. In a previous post , we looked at the magnitude and impact of the soaring cost of poor software quality in the US and where those hidden costs are typically found.

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Obrizum uses AI to build employee training modules out of existing content

TechCrunch

The market for corporate training, which Allied Market Research estimates is worth over $400 billion, has grown substantially in recent years as companies realize the cost savings in upskilling their workers. By creating what Agley calls “knowledge spaces” rather than linear training courses. ” Image Credits: Obrizum.

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