"Fascinating" describes my journey with Stable Diffusion 3. It’s deepened my appreciation for original art and masterpieces. Understanding how to generate quality art is just the beginning—it drives me to explore the underlying structure. Join me in exploring SD3 in R!
Overall, I am quite impressed with the responses! With minimal prompt engineering, document cleaning! It was able to return accurate responses, and even separated different conditions and provided appropriate treatment options. It was also able to return the correct response for tricky questions that our RAG was not able to. It definitely has potential!
Wow, what a journey, and more to come! We learned how to perform simple RAG with an LLM and even ventured into LangChain territory. It wasn’t as scary as some people said! The documentation is fantastic. Best of all, we did it ALL in R with Reticulate, without leaving RStudio! Not only we can read IDSA Guidelines, we can use LLM to assist us with retrieving information!
Reading “Coaching Hacks” has given me a fresh perspective on essential coaching skills. 📚 I’m committed to daily practice, recognizing that improving as a coach is a lifelong journey. 🌱 It’s exciting to use AI tools to reinforce these skills - a great way to blend traditional learning with new technology. 🤖💡
MCAR, MAR, MNAR, all so confusing. But with DAG, oh so amusing! Many technical words, I don’t understand, but with simulation, I am a fan! Join me in exploring missing mechanisms, learn I will with great optimism.