I’m a software engineer developing small LLM applications, just started learning data science. Please share some tips and recommendations 🤖📖🙏🏻

https://medium.com/@yaelaidata/custom-instructions-prompts-simple-steps-to-smarter-interactions-917977a099b3

Ever caught yourself enthusiastically sharing your grand plans, only to realize later that they remained just that – plans? It turns out, discussing our goals might not be as effective as we think, unless it's with a genuine accountability partner. Let's dive into why action often speaks louder than words. Over time, I've come to understand that aspirations are personal journeys. While ambition is commendable, what truly sets us apart is our ability to translate those dreams into reality, quietly and steadily. Rather than broadcasting your intentions, try a different tack. Give yourself the gift of action without an audience. Picture the satisfaction of achieving a personal milestone, without the need for external validation. By keeping our ambitions close to our chests, we minimize the "Intention-Behavior Gap" – that space between knowing and doing. Avoiding the trap of "Social Reality," we allow our actions to speak volumes. Remember, the most meaningful achievements often unfold in silence. I was reading @Aziz Amari's blog and came accross a post that really resonated with me. Here is his post: https://blog.azizamari.tn/talk_less Happy learning to everyone!

When working with LLM’s I can’t stop thinking about the similarities to our way of thinking. this is why I think prompt engineering is a must, I compare it to a psychologist to LLM 🤪 https://www.linkedin.com/pulse/mimicking-minds-how-ai-thinks-like-us-step-yael-even-haim-norgf/

i want to learn advanced prompt engineering, my goal is to understand what technique to use for different tasks. Until I create my GPT prompt engineer 🧠😊 what sources will you recommend for learning?