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.
The coaching process unfolds through seven key domains: identifying the ideal vision, understanding the PEA, cultivating mindfulness, hope, and empathy, invoking PEA, fostering a quality relationship, embracing the coaching culture, and recognizing coachable moments. By focusing on these areas, you can build a long-lasting and mutually beneficial coaching relationship. The book “Helping People Change” offered so many great insights, it’s definitely worth reading! Here is my notes to future myself.
The SUTVA, Positivity, Identifiability, Consistency, Exchangeability of Causal Inference, the essential ingredients that helps us bring out the true flavor of the causal model. Here is my understanding of each assumptions (main course) with examples (side dish) and accompanied by simulation (paired with beverages). Bon Appétit!