Sun.Feb 18, 2018

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Here’s How We Can Make The Next Big Thing Happen Much Faster

Digital Tonto

An obscure government program may be a blueprint for the future Related posts: Inside The Race To Build A Battery That Can Power The 21st Century. Why Energy Storage May Be The Most Important. [[ This is a content summary only. Visit my website for full links, other content, and more! ]].

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5 Questions to Ask Whenever You Feel Like Giving Up

Innovation Excellence

The hardest decision you’ll ever make is to move on; before you do, answer these 5 questions. As entrepreneurs we believe in our ability to build the future more than anyone else possibly could. In our mind there is never any doubt that what we are creating is needed by the world. That’s why we.

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Best among What I Read this Week

Rmukesh Gupta

1. How to Increase Your Influence at work. In this post, Rebecca talks about some tactics that we can use to increase our overall influence at work. She gives a lot of good advice. Read, learn and put it in practice. 2. What are you saying “No” to . In this post, Anthony talks about the impact that every ”Yes” we say has on our time, work and impact and argues the importance of picking the right “Yes” by saying “No” to everything else. 3.

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Best among What I Read this Week

Rmukesh Gupta

1. How to Increase Your Influence at work. In this post, Rebecca talks about some tactics that we can use to increase our overall influence at work. She gives a lot of good advice. Read, learn and put it in practice. 2. What are you saying “No” to . In this post, Anthony talks about the impact that every ”Yes” we say has on our time, work and impact and argues the importance of picking the right “Yes” by saying “No” to everything else. 3.

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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.