A model that knows your business and gets sharper with every task is the catalyst for faster innovation.
Co-founder @sarahookr will discuss turning AI into a competitive advantage at the @ftlive Future of AI conference with @Mastercard, @Cognigy, @BentleySystems.
Millions of developers build in @cursor_ai. Now you can build custom models without leaving it.
Adaption is live on the Cursor Marketplace. Go from dataset to trained model, right from the Cursor agent.
The next generation of intelligent systems won't be defined by scale.
It will be defined by intelligence that learns from your work. Co-founder @sarahookr on what that takes, live at @PyTorch Conference on October 20.
Adaptive Interfaces feed user corrections back into a model, so AI keeps improving after deployment.
Join @its_sshahid, Technical Staff at Adaption, and @HaijunXia, Associate Professor at @UCSanDiego on October 22nd.
Last week we introduced Invent a Dataset. Describe what you need. Hit go.
Today, we’re making it even easier with the Invent API.
A few lines of code. AI ready training datasets in minutes.
Meet Grady.
Tardigrades are nearly indestructible. They adapt to any environment, from the ocean floor to the vacuum of outer space.
Learn the story of how Grady became our Adaption mascot.
What happens when the metrics say a model is doing good, but its outputs still miss what matters to you?
Join @its_sshahid, Technical Staff at Adaption, and @sh_reya, Assistant Professor of CS at @CarnegieMellon on Sept 22nd.
Catch Co-founder @sarahookr and @LucasSmaira, Head of Research at @VettoAi, at @BrazilatSV on Sept 16th.
Their chat, "Brazil is already competing, and most people don't know it" takes on where frontier AI gets built.
New research from @sudip_r0y and @dhruvrnaik.
Harness optimization moved criterion pass rate from 67.10% to 85.92% on @harvey Legal Agent Benchmark. Post-training pushed it to 88.03%.
Owning your intelligence means improving the model and the harness around it.
Bringing AutoScientist to 15+ million @huggingface researchers and builders. 🤗
AutoScientist automates model training. Specify your objective, let AutoScientist do the rest.
Export to Hugging Face with one click.
Co-founder @sarahookr at @aiDotEngineer World's fair: performance moved only when data quality was controlled and the model was optimized alongside it.
Control the full loop, and you control the outcome.
First episode of Field Notes, our new monthly series on the leaders shaping AI.
@sudip_r0y, Adaption Co-founder, and @mgalle, post-training lead at @poolsideai discuss the last 5% of reliability and what it actually costs.