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LLM benchmarking: How to find the right AI model

CIO

These are standardized tests that have been specifically developed to evaluate the performance of language models. They not only test whether a model works, but also how well it performs its tasks. With each advance in the LLMs themselves, new tests are created to meet the increasing demands.

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How to talk to your board about tech debt

CIO

Don’t get bogged down in testing multiple solutions that never see the light of day. Instead of focusing on single use cases, think holistically about how your organization can use AI to drive topline growth and reduce costs. Take out costs and use those funds to compress your transformation. Also, beware the proof-of-concept trap.

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Test-Driving HTML Templates

Martin Fowler

When building a server-side rendered web application, it's valuable to test the HTML that's generated through templates. While these can be tested through end-to-end tests running in the browser, such tests are slow and more work to maintain than unit tests.

Testing 293
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How To Use Live Coding Interviews in Tech Recruiting?

Hacker Earth Developers Blog

We’ll explore what they are, how they work, and why they’re such a powerful tool for tech recruiters. We’ll also provide some practical tips on how to conduct effective live coding interviews and ensure you’re getting the most out of this valuable assessment technique.

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How to Design Strong Experiments

Speaker: Franziska Beeler, Head of Cloud Academy, and Tendayi Viki, Associate Partner, Strategyzer

When testing new business and product ideas, choosing the right experiment is just the beginning. You'll come away from the webinar understanding how to: Formulate strong hypotheses for your business and product ideas. After we have chosen our experiment, it’s important that we spend some time designing it well.

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How to protect your business from email compromise – and be prepared if protection falls short

CIO

This further emphasizes the importance of multi-layered defenses, such as dual approval processes for payments and consistent employee education and training on how to spot potential threats. Keys to recovering from a BEC attack For organizations or individuals who may have inadvertently sent money to a fraudster, time is of the essence.

Banking 157
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How to Measure the Effectiveness of Recruitment and Selection Process

Hacker Earth Developers Blog

But how do you accurately assess whether your recruitment and selection process is working as intended? Lets explore how to measure the effectiveness of recruitment and selection, and how platforms like HackerEarth can help streamline this process through skill-based evaluations.

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The Science of High-Impact Experimentation

Speaker: Holly Hester-Reilly, Founder and Product Management Coach, H2R Product Science

But too many teams don't know what to test, which leads to poorly designed experiments and unclear results. How can a product manager be certain they’re making effective decisions when it comes to experimentation? When to test an assumption. How to determine if you need to dig deeper with further tests.

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A Tale of Two Case Studies: Using LLMs in Production

Speaker: Tony Karrer, Ryan Barker, Grant Wiles, Zach Asman, & Mark Pace

We'll walk through two compelling case studies that showcase how AI is reimagining industries and revolutionizing the way we interact with technology. Don't miss out on this opportunity to stay ahead of the AI curve!

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Best Practices for Creating Long-Lasting and Continuous Discovery Habits

Speaker: Teresa Torres, Internationally Acclaimed Author, Speaker, and Coach at ProductTalk.org

interviewing customers, usability testing, experimenting) however, many CTOs will note that we are still stuck in a project world. These methods are better than nothing, but how can we improve on this model? How to define a clear benchmark for what a strong continuous discovery team does.

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Improving the Accuracy of Generative AI Systems: A Structured Approach

Speaker: Anindo Banerjea, CTO at Civio & Tony Karrer, CTO at Aggregage

Key Learning Objectives: How to leverage human feedback and observability frameworks to detect when the system generates incorrect output and as the basis for accuracy improvements 📈 How the use of playgrounds integrated into the administrative console of the application can isolate the source of the error 🔍 How building a robust regression (..)

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How User Acceptance Testing Can Save You Time and Money

Speaker: J.B. Siegel, VP of Client Services, Seamgen

Siegel, VP of Client Services at Seamgen, as he explores how to use wireframes and clickable prototypes to validate your product. He’ll discuss how user testing allows you to really understand your users - and how to use the insights to inform your product strategy. The right tools for successful user testing.

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How AI and ML Can Accelerate and Optimize Software Development and Testing

Speaker: Eran Kinsbruner, Best-Selling Author, TechBeacon Top 30 Test Automation Leader & the Chief Evangelist and Senior Director at Perforce Software

While advancements in software development and testing have come a long way, there is still room for improvement. With new AI and ML algorithms spanning development, code reviews, unit testing, test authoring, and AIOps, teams can boost their productivity and deliver better software faster.

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How to Achieve High-Accuracy Results When Using LLMs

Speaker: Ben Epstein, Stealth Founder & CTO | Tony Karrer, Founder & CTO, Aggregage

When tasked with building a fundamentally new product line with deeper insights than previously achievable for a high-value client, Ben Epstein and his team faced a significant challenge: how to harness LLMs to produce consistent, high-accuracy outputs at scale. 📆 April 9th, 2025 at 11:00 AM PDT, 2:00 PM EDT, 7:00 PM BST

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How To Design Your Next Roadmap with Data-Driven Pit Stops Masterclass

Speaker: Sonia Singhal, Product Manager at eBay

These days, a simple A/B test can seem to incorporate the whole alphabet, making the data you worked so hard for impossible to incorporate and creating a nightmare for the CTO in charge. So, how do we know we are testing the right thing? How can we shorten the time it takes to do the tests while gaining larger amounts of data?