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AI & ML engineering in particular is very research-adjacent. That's why we began building agents to source ideas from the arXiv and implement the core-methods
by backflippinbozo 1y ago
AI & ML engineering in particular is very research-adjacent.
That's why we began building agents to source ideas from the arXiv and implement the core-methods from the papers in YOUR target repo months before this publication.
We shared the demo video of it in our production system a while back: https://news.ycombinator.com/item?id=45132898 https://news.ycombinator.com/item?id=45132898
And we're offering a technical deep-dive into how we built it tomorrow at 9am PST with the AG2 team: https://calendar.app.google/3soCpuHupRr96UaF8 https://calendar.app.google/3soCpuHupRr96UaF8
We've built up to 1K Docker images over the past couple months which we make public on DockerHub: https://hub.docker.com/u/remyxai https://hub.docker.com/u/remyxai
And we're close to an integration with arXiv that will have these pre-built images linked to the papers: https://github.com/arXiv/arxiv-browse/pull/908 https://github.com/arXiv/arxiv-browse/pull/908