🧬 Just published a new blog post on reinforcement fine-tuning (RFT) for causal gene identification using Llama models! We show how a fine-tuned 8B parameter model can match the performance of a 70B model on this task. 🧵 (1/8)
Inspired by OpenAI's RFT demo last year, I recreated a similar setup for identifying genes causing diseases from GWAS results. With just ~600 training examples, it doubled the accuracy of Llama-8B.
suyashss.github.io/llm/2025/… (2/8)
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I built a tiny vision-language model using the MNIST digits dataset that can:
✅ Classify images → numbers
✅ Generate images from digit labels
It combines image tokenization & nanoGPT for training.
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Read more & try it out: 🔗 suyashss.github.io/vision-la…
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Our latest preprint - PRS can predict 1-yr incidence for 12 diseases in multiple ancestries (study of 8.5M individuals)
medrxiv.org/content/10.1101/…
PRS add information to conventional risk factors, and favorable lifestyle linked to lower risk in high-PRS group
New preprint - In a GWAS of cataract in Puerto Ricans, we found a rare variant association with odds ratio 12.7! Work led by Jing Shi. @jaredmoconnell @kasia_bryc @vvacic @willfreyman @NouraAbulHusn @adamauton @23andMeResearch
medrxiv.org/content/10.1101/…
Join our webinar tomorrow 9-10 am PST to learn more about how self-reported #raredisease data can be used to discover genetic associations for rare diseases!
Join us for a free webinar on our #RareDisease research
Tuesday, Dec 7th from 9am - 10am PST
Featuring Suyash Shringarpure PhD, Sr. Scientist II, Statistical Genetics
& John Matthews, PhD, MRCP (UK), Sr. Clinical Development Fellow
Register in advance: 23andme.zoom.us/webinar/regi…
Excited to present our work on studying rare diseases using gwas on self-reported data today Oct 19 at #ASHG21 from 4-4:15 pm ET. Link to session ashg2021.ashg.org/live-strea…
Replying to @23andMeResearch
Excited to share our new preprint on studying #RareDisease with self-reported diagnosis data and GWAS, where we show this approach can recover known genetic associations for rare diseases and also discover new associations medrxiv.org/content/10.1101/…
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