Ameya Joshi
@ameyajoshi.bsky.social
Research Scientist @ InstaDeep, Boston
AI for scientific discovery, Robust and safe models.
AI for scientific discovery, Robust and safe models.
Reposted by Ameya Joshi
I ported Matt Might's bash scripts for detecting common issues in writing to a little web app (using Claude) and it's pretty fun to play with: https://simonwillison.net/2024/Dec/14/improve-your-writing/
3 shell scripts to improve your writing, or “My Ph.D. advisor rewrote himself in bash.”
Matt Might in 2010: > The hardest part of advising Ph.D. students is teaching them how to write. > > Fortunately, I've seen patterns emerge over the past couple years. …
simonwillison.net
December 14, 2024 at 6:56 PM
I ported Matt Might's bash scripts for detecting common issues in writing to a little web app (using Claude) and it's pretty fun to play with: https://simonwillison.net/2024/Dec/14/improve-your-writing/
Reposted by Ameya Joshi
🧪🧬🖥️ Nucleotide Transformer is now published in Nature Methods!
A foundational models for genomics, with up to 2.5 billion parameters, that are trained on genomes from 800+ species and 3000+ human individuals.
📄 www.nature.com/articles/s41...
💻 github.com/instadeepai/...
#Genomics #BioML #MLSky
A foundational models for genomics, with up to 2.5 billion parameters, that are trained on genomes from 800+ species and 3000+ human individuals.
📄 www.nature.com/articles/s41...
💻 github.com/instadeepai/...
#Genomics #BioML #MLSky
Nucleotide Transformer: building and evaluating robust foundation models for human genomics - Nature Methods
Nucleotide Transformer is a series of genomics foundation models of different parameter sizes and training datasets that can be applied to various downstream tasks by fine-tuning.
www.nature.com
December 5, 2024 at 1:26 PM
🧪🧬🖥️ Nucleotide Transformer is now published in Nature Methods!
A foundational models for genomics, with up to 2.5 billion parameters, that are trained on genomes from 800+ species and 3000+ human individuals.
📄 www.nature.com/articles/s41...
💻 github.com/instadeepai/...
#Genomics #BioML #MLSky
A foundational models for genomics, with up to 2.5 billion parameters, that are trained on genomes from 800+ species and 3000+ human individuals.
📄 www.nature.com/articles/s41...
💻 github.com/instadeepai/...
#Genomics #BioML #MLSky