Sat.Jan 08, 2022

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Startup accelerators’ definition of ‘value add’ is due for a refresh

TechCrunch

Even to outsiders, the inner workings of startup accelerators has become familiar: pumped up on camaraderie and energy drinks, scrappy founders do product demos onstage before a room full of buzzy journalists and investors. Fast-forward two years into a pandemic and, even a stint with the return of hacker homes, much has changed about the way launch pads for startups look, feel and show value today.

Energy 231
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JSON to XML Converter Online

The Crazy Programmer

Welcome to JSON to XML converter online free tool. This tool will help you to easily convert your JSON data into XML data. All you need to do is add JSON data in the textbox and click on the convert button. This will instantly convert the JSON data into XML data. Copy and clear buttons are also given to make your task easier. This tool works on all browsers and platforms. ?

Tools 200
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4 ways to navigate a post-acquisition partnership

TechCrunch

Todd McKinnon. Contributor. Share on Twitter. Todd McKinnon is the CEO and co-founder of Okta. More posts by this contributor. Starting Up In A Downturn: How Okta Built Its Enterprise Company. Why Your Favorite App Isn’t Business-Related And How It Can Be. Mergers and acquisitions are notoriously tricky to navigate from a leadership and culture perspective.

Culture 211
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Agile Book Club: Whole Team

James Shore

Agile is all about teamwork, which makes “Whole Team” one of the most foundational practices in the book. In this book club session, we looked at what it means to have a successful Agile team. ?? Reading: Whole Team. ?? Discussion prompts: The reading talks about customer skills, development skills, and coaching skills. Which skills have been important for your teams?

Agile 59
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Peak Performance: Continuous Testing & Evaluation of LLM-Based Applications

Speaker: Aarushi Kansal, AI Leader & Author and Tony Karrer, Founder & CTO at Aggregage

Software leaders who are building applications based on Large Language Models (LLMs) often find it a challenge to achieve reliability. It’s no surprise given the non-deterministic nature of LLMs. To effectively create reliable LLM-based (often with RAG) applications, extensive testing and evaluation processes are crucial. This often ends up involving meticulous adjustments to prompts.