Meta details the hardware-software co-design behind doubling training efficiency for GEM, its LLM-scale ads recommendation foundation model, including custom recommendation…
After a Linux kernel upgrade caused latency regressions in its ads-serving infrastructure, Meta deployed sched_ext, an open-source BPF-based kernel scheduler,…
Amazon researchers introduce ControlG, a framework that applies industrial control-theory principles, including PID controllers, spectral-demand metrics, and Pareto efficiency theory,…
Google Research presents Science One, an experimental autonomous research agent system built around Chain-of-Evidence (CoE), a verifiability protocol requiring that…
Amazon researchers describe Turnstile, a Rust-based proxy that sits between an agent harness and its inference backend to capture exact…
A Hugging Face blog post presents a reproducible method for determining whether a language model was trained from scratch or…
Researchers introduce OPID, an on-policy skill distillation framework for training language agents that addresses the sparse-reward problem in long-horizon reinforcement…
Anthropic announced it is building an in-house team to design custom chips for its Claude AI models, hiring engineers to…
A paper describes RTP-LLM, an LLM inference engine designed to address deployment bottlenecks in production serving. It combines file-order-driven parallel…
Alibaba’s Qwen team made Qwen3.8-Max, a 2.4-trillion-parameter mixture-of-experts model, broadly available through a hosted API compatible with OpenAI and DashScope…
A new benchmark called OSReward evaluates how reliable vision-language models are when used as automated judges of computer-using agent trajectories…
A paper proposes UniME-R1, a multimodal retrieval framework that generates reasoning conditioned on retrieval feedback rather than the query alone.…
