The Agent Verification Spectrum
Claude Sonnet 4.6 passes 51% of SWE-bench. Sounds good until you realize you can't tell which half is correct.
We gave agents verification tools. 69.5% of tool users solved the issue. 18.8% of non-users. Same model, same benchmark.
@togethercompute Thanks for sharing this important work!
Sharing some related experiments I have done related to the verification gap on those coding agent trajectories.
More details here:
https://t.co/fCXyw6fV5v
https://t.co/WNwvFGSpxJ
@lihanc02 Great analysis and timely.
Sharing some related work I have done related to the verification gap on those coding agent trajectories.
More details here:
https://t.co/fCXyw6fV5v
https://t.co/WNwvFGSpxJ
If you happen to be coming to the #Raysummit come and learn about
🚀 Mixture of Experts & Disaggregated Architecture on vLLM & NVIDIA Dynamo
🍻 Come network, grab a bite or a beverage
Register now: https://t.co/Kinw45t9oj
Explore 2⃣ scalable approaches to train thousands of models to a geographic location feature in batches w/ Ray Core in record times
1⃣ Distributed reads per task
2⃣ Centralized Ray Object store reads per Task
Checkout the blog + code 👇
#manymodelsml
https://t.co/HtmmC2ROzs
One of our goals with @raydistributed has been to provide a great off-the-shelf experience for beginners as well as the performance and flexibility required by power users. @OpenAI is on the "power users" end of the spectrum.
https://t.co/7nPWlJlQRp
We released the Drug Repurposing Knowledge Graph (DRKG), a new dataset for finding drugs to fight #COVID19 , a joint effort with UMN, OSU and HunanU. Check out our blogpost about using DGL-KE to train embeddings and rank drugs: https://t.co/LsFGEZXrSp
@AndySeaborne Hello Andy. Is it possible to use Fuseki on top of another triple store? I was looking to run it on top of AWS Neptune. I can't find any example or reference in the documentation of Fuseki running on top of another triple store.