Sun.Aug 30, 2020

article thumbnail

Why Consensus Kills Innovation

Digital Tonto

Big ideas are never easy. Almost by definition, they are unlikely, fraught with risk and often counterintuitive. They need champions to inspire and empower beliefs around them. That’s why leadership. [[ This is a content summary only. Visit my website for full links, other content, and more! ]].

article thumbnail

#1,891 – The Polite Type

Greatest. Idea. Ever.

Right now there’s a lot of hate in the world with social networks and other online platforms helping to spread that hate. Perhaps what we need then is a way to clean up our online behavior and turn cyberspace into a safe space. But how can we do that?! Stopping the spread of fake news on Facebook would be a good start. We could have AI driven algorithms that filter out abusive content or human moderators that do the same.

Design 78
Insiders

Sign Up for our Newsletter

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

article thumbnail

006: Innovation Dream Teams: The Secret Formula to Drive Team Success

Innovation in Practice

Does your organization struggle with generating better ideas? Unfortunately, the traditional brainstorming approach doesn’t work. . Innovation is a team sport. You’re going to get better and richer innovation when colleagues and other support people around you are involved in generating novel ideas. . But what types of people should make up your winning team?

article thumbnail

Responding to COVID-19 and future challenges

ImagineNation

In our blog “Leading and Managing Transitional Change” we described how leaders could help their people to transition through the fears and challenges they are experiencing as a result of the disruptive COVID-19 pandemic , by cultivating their mental toughness. This involves being willing to help them expose, confront, and overcome any previously unconscious biases and resistant demons.

article thumbnail

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.