Not yet! After digging into both #IDWeek2023 and #IDWeek2024 tweets data, and crunching some numbers to compare user activity, it’s clear we haven’t lost our spark. Our ID community is still here, sharing knowledge and learning from each other’s experiences. Pretty cool to see how we’re keeping the conversation alive! Here’s hoping we can keep this momentum going and maybe even make it better!
Reflecting on this year’s #IDWeek2024 tweet analysis, I’m struck by the incredible spirit of international collaboration and knowledge sharing from the ID community. The dedication of everyone who took time from their busy conference schedules to share insights, whether it was breaking news about the BALANCE trial, educational pearls, or moments of joy and connection, demonstrates what makes our ID community so special - thank you all for keeping those of us who couldn’t attend connected and informed through your thoughtful posts and updates!
"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!