Tired: Skill.MD
Wired: Dr. Skill
Posts by Rohit Vashisht
Aspired: Skill.MDPhD
Bird’s eye view of Stanford
Statisticians: “Data” is plural but “dataset” (a set of multiple data) is singular. Thank you for your attention to this matter.
House full on amazing panel discussion on Clinical Reasoning in the Era of AI at CDI2 conference at UCI @kdpsingh.bsky.social
If you work with UC Health data or aspire to do so then it might be worth attending the CDI2 conference at UCI
na.eventscloud.com/website/5224...
Coffee with Blue jay at Big Sur
Claude Mythos system card is quite something!
www-cdn.anthropic.com/08ab91580709...
Bacha hai tu yaar mera, chal tujhe Fanta pilata hu! 😂
Tired: Reasoning
Wired: Latent reasoning
Great work! Congratulations 🎉
PrismML 1-bit 8B LLM!! 👀
prismml.com
I tried and it’s not only fast but also generate somewhat okay looking answer to the question - ‘What is Causal Inference?’
1-bit compression/training is insane
github.com/rohit43/oneBit
3. Reflections on FDA Draft Guidance on Bayesian Methods in Trials—Protecting Scientific Integrity and Evidentiary Standards: jamanetwork.com/journals/jam...
2. FDA Draft Guidance for the Use of Bayesian Methods in Clinical Trials: jamanetwork.com/journals/jam...
In case you looking for a break in the news cycle.
In statistics news, back to back in JAMA
1. Embracing Bayesian Methods in Clinical Trials url: jamanetwork.com/journals/jam...
This is good, like really good.
There’s so much efficiency hidden in those vector spaces!
research.google/blog/turboqu...
Got fully distracted today :-)
Tired: Layers
Wired: Semantic layers
Tired: Storage
Wired: Agent friendly storage
Appreciate the years of work by Andrew Wong, Yasir Tarabichi, Pat Lyons, and colleagues around the country to understand how routinely implemented predictive AI tools perform in diverse real-world clinical settings.
Here’s a quick timeline...
Donald Knuth on Claude.
Wow!
Time for Knuth to send ‘Knuth reward check’ to Claude :-)
www-cs-faculty.stanford.edu/~knuth/paper...
Small language models are the new large language models. This is amazing! Will taking them for a spin huggingface.co/collections/...
It’s all the more important to build local, on device language models from scratch as well as enable synthesizing health system scale data. Excited to discuss some of these efforts (UCSF-GPT, & diveEHR) at upcoming UCSF AI day!
Happy to chat, & connect if you are around.
ai.ucsf.edu/researchday
/simplify
New plugin from #claudeCode is epic, especially if you are learning best practices of how to structure your thoughts into a good looking, optimal, and readable code.
Pre-paid API plan with Claude code is also very optimal. It feels like pre-paid phone recharge :-)
Like it just barely any tokens to achieve this task github.com/rohit43/agen...
Recent access to ChatGPT enterprise edition only made me realize how good Claude training has been overall.
Agentic #OMOP experiment: dusted off some of my old scripts and let ClaudeAI orchestrate everything into a full OMOP data report. This is kind of crazy. 🤯
Code: github.com/rohit43/agen...
JCHI Executive Director @kdpsingh.bsky.social
& co-host Navdeep Tangri explore AI’s evolving role in nephrology in “Rewired: Navigating AI's Role in Kidney Health," a new podcast from @asnkidney.bsky.social.
Listen ⬇️
t.co/YMYjX7PbmQ