Seamless for ML lets researchers ask the AI to look for papers in a given research field within Machine Learning,
and looks on Semantic Scholar the most relevant papers. Then, it looks for existing code repositories of the papers and attaches the link to the paper if available.
Finally, the can ask the AI to extract insights from the papers and ask any question on their content.
Seamless for ML is completely free for now as it's in beta. We'll introduce a pricing model in the future.
You can write a mail to us at founders@seaml.es and we'll reply within 24 hours.