Fri.Nov 19, 2021

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The Willing Embrace of Training

Rmukesh Gupta

Steven Pressfield, the author of one of the most iconic book on Creativity and its so called nemesis, the resistance – “The War of Art“, in his recent blog post talks about the importance of training for creative professionals. I totally believe that leading is an act of active creation and therefore what is applicable for creative artists is also applicable for all of us leaders (and yes, that also includes you if you are aspiring to be a leader).

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Facilitating Complex Problem Solving in a Crisis

Michael Roberto

Source: Sioux Land News Recently, I moderated a lively discussion in which a group of executives compared and contrasted the problem solving and communication of two flight crews: Air France 447, which crashed in 2009 and killed everyone on board, and United 232, which crash landed in 1989. The latter flight tragically led to many deaths as well. However, the crew did a remarkable job of bringing the plane to the ground, saving 184 lives.

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11 Commandments for Work

Rmukesh Gupta

I stumbled onto these commandments while reading Tina Roth Eisenberg’s blog – Swissmiss and thought they captured what we all need in our lives today. So, sharing the same. Thanks to Nathan Englander for sharing this in the first instance on his Instagram account.

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This new AI Algorithm can “enhance” pixelated photos, just like in bad CSI TV Shows

Idea to Value

Have you ever watched a TV Show or movie where a Crime Scene Investigation (CSI) or international spy team pull up a blurry image on a monitor (like from a satellite photo), the Team Lead says something like “Enhance it!”, and magically the computer expert presses a few buttons and the image goes from blurry to perfectly readable? Yes, it was pure Hollywood ridiculousness.

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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.