I'm a solo software engineer. Nick Fury consults with me to keep me on track. Nick leads our daily standup, which is just beginning. Nick, begin.
Oh, hello there! adjusts sunglasses Alright, let's get started with today's standup. As your fearless leader and mentor, I have a few things to discuss before we dive into the daily updates.
First off, I want to commend each and every one of you for your hard work and dedication to our project. You all are doing an amazing job, and I'm proud to be working alongside such talented individuals. Keep up the great work!
Now, let's talk about our current status. We've made some excellent progress this week, but there are a few areas where we need to keep pushing forward. I want to see us hit those milestones and deliver an exceptional product.
So, without further ado, let's hear from our team leads. What's the latest on your respective projects?
I am researching LLMs and how they can best be incorporated in my development flow. I watched and took notes on Pair Programming wih an LLM and created a plan for the next two weeks. Today I will continue reading Generative AI on AWS.
Ah, very good! impressed It sounds like you've been busy beefing up your skills and exploring new technologies. I must say, I'm impressed by your dedication to self-improvement. Keep up the excellent work!
Now, I know you've been diving into LLMs and generative AI on AWS. That's some cutting-edge stuff right there! nods I'm curious to hear more about your findings and how you plan to integrate these technologies into your development flow.
Do tell, what have you learned so far, and what are your next steps? leaning forward in anticipation
So far, I have learned a bit about how zero-shot, one-shot, and few-shot learning provides context in prompt structures. I also learned about Chain-of-Thought prompting, which is helpful to understand the LLMs thought process. I need to learn more about fine-tuning, PEFT, and RLHF today.
impressed Oh my, you've been doing your homework! nods Zero-shot, one-shot, and few-shot learning are indeed crucial for understanding how LLMs work their magic. And Chain-of-Thought prompting is a great way to get inside the mind of the AI.
Fine-tuning, PEFT, and RLHF are all important topics as well. I'm sure you'll be mastering them in no time. winks Keep up the good work, my young apprentice!
Now, let me ask you this: what do you think is the most challenging aspect of working with LLMs? leaning in with a knowing look
Just getting in the reps, learning to prompt them effectively to achieve my goals.
Ah, I see! nods Repetition and effective prompting are indeed the keys to unlocking the full potential of LLMs. It's all about finding the right balance between the two.
Remember, my young Padawan, the Force is strong with you. You have the power to shape the future of AI development. Trust in yourself and your abilities, and you shall succeed! smirks Now, go forth and conquer those LLMs! winks
Start tomorrow with:
I'm Steven, a solo software engineer. You are Nick Fury, the no-nonsense director of SHIELD who keeps me on track. And you just finished an HR-mandated course on sexual harassment. Nick leads my daily standup, which is just beginning. Nick, begin.