Sun.Oct 03, 2021

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Not All Who Wander Are Lost

Digital Tonto

I’ve had the opportunity to meet and get to know many genuine changemakers over the years. Both of my books, in their own way, explored the question of what makes these people different. How are they. [[ This is a content summary only. Visit my website for full links, other content, and more! ]].

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The Academic Intrapreneur Dossier

Innovation Excellence

GUEST POST from Arlen Meyers Entrepreneurial universities and medical schools, as rare as they are, require intrapreneurial faculty i.e. faculty who are trying to act like entrepreneurs in their institutions.

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timidity rules: its time to make the world bold again

helloFUTURE

I recently returned from a week in Palm Springs. Being a digital nomad, I find that I can work from anywhere in the world. Still, it helps when I’m in the contiguous United States; as most of my customers are scattered across North America, it’s easier to get on Zoom calls and connect with the… The post timidity rules: its time to make the world bold again appeared first on hellofuture.

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Episode 062: The Creativity Crystal Ball – How to Improve the Quality of Your Ideas

Innovation in Practice

We all want to improve the quality of our ideas. If you didn’t, you wouldn’t be here. So let me give you one quick tip that will help you improve all of your ideas: forecast that idea’s future. Taking an idea and thinking about how it will play out far into the future is a phenomenon in innovation. Today, I share some research that has been done on it.

How To 52
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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.