
Our Future STRONG
By FutureSTRONG Academy
How about we make this recurring dream of ours a reality? As one humanity, we consciously build a collective future for ourselves. And we aspire for our personal best and leave a legacy of our work through our contributions to mankind. Come, join us. Together, we can Become UNSTOPPABLE!


Ep. 430. How Large Language Models Are Probabilistic In Fueling Creativity in Generative AI 🎲✨
LLMs and the Stochastic Nature of Generative AI 🎲Here we discuss large language models (LLMs) and their role in generative AI applications. The newsletter specifically highlights the stochastic nature of LLMs, explaining that they generate varied responses to the same query due to learning from vast datasets rather than following rigid rules. This characteristic means their output is probabilistic and not always identical, showcasing their creative and pattern-based generation process.Source: Top AI Newsletter By Pascal BORNET LLMs generate responses based on patterns learned from massive training data. This means they're inherently probabilistic rather than deterministic. Each response is a creative act, not just a lookup in a rule table.This characteristic - called stochasticity - means they don't produce the exact same answer every time, even when asked identical questions. Try this experiment: Ask your preferred AI chatbot the same question four times in a row. You'll likely get slightly different answers each time.*******************For more podcasts and videos on motivation and unstoppable momentum, visit: http://futurestrong.org/podcastshttp://futurestrong.org/videosTo build a whole child: https://futurestrong.org/2022/05/06/essential-real-life-skills-to-start-teaching-your-child-at-any-age-video/Learn more about our Digital Lives And Detox HERE: https://futurestrong.org/project/truth-about-tech/For content copyright and disclaimer, please visit: https://futurestrong.org/copyright/** Content Disclaimer ** This podcast has been created with the help of AI, using content from the FutureSTRONG Academy blog library. We’re grateful for the insights shared and hope they bring value to your day! #Robotics #AI #ArtificialIntellgence

The Time Is Now To Live In The Present Tense {Podcast}
The text emphasizes the finite and precious nature of time, arguing that how we spend our minutes directly impacts our lives and legacy. It advocates for living fully in the present moment while also planning for the future, suggesting strategies like timeboxing and prioritizing tasks to maximize effectiveness. The author contrasts the pain of self-discipline with the regret of missed opportunities, urging readers to make conscious choices about their time usage. Ultimately, the message promotes intentional living to create a fulfilling and meaningful life.

Teaching Our Children About Success In The Modern Age {Podcast}
Questions this podcast answers: How does modern parenting adapt to evolving societal expectations? What are the key elements of raising resilient and successful children? How can parents balance tradition with children's self-discovery? Read the article here: https://futurestrong.org/2024/07/05/teaching-our-children-about-success-in-the-modern-age/ ******************************** #Parenting #Children #Success For more podcasts and videos on motivation and unstoppable momentum, visit: http://futurestrong.org/podcasts http://futurestrong.org/videos To build a whole child: https://futurestrong.org/2022/05/06/essential-real-life-skills-to-start-teaching-your-child-at-any-age-video/ Learn more about our Digital Lives And Detox HERE: https://futurestrong.org/project/truth-about-tech/ For content copyright and disclaimer, please visit: https://futurestrong.org/copyright/ #FutureSTRONGAcademy #RNS #OurFutureSTRONG

















Ep.301. Defending The Undefendable - Travis Barker & Other Parents Blindsided By Their Kids' Actions







Living Our Best Life With The Dharma Code - By Simon Haas
Read more HERE.




From Machine Learning To Deep Learning: How AI Can Be Transformational Instead Of Just Transactional


















