aws-emulator Finally, an official emulator from AWS to run tests against a local clone of their many different services without having to provision a paid API key to do so. It's written in Rust by a huge swarm of agen... Context & related coverage →
Aditya Mulik explains how Walmart Global Tech deployed multi-agent LLM workflows across 4,700 stores for nightly batch inventory forecasting. He discusses tackling production hurdles - schema violations, cross-departm... Context & related coverage →
arxiv.org · 2026-11-10 · Ranked: eval match · research watch · fresh 0.83 · score 2.49
Transformer sentence encoders provide strong retrieval quality, but their inference cost becomes a bottleneck when embeddings must be produced on CPUs or refreshed frequently. We introduce StaRSE, a compact Russian st... Context & related coverage →
arxiv.org · 2026-11-10 · Ranked: agentic + harness match · research watch · fresh 0.83 · score 2.41
Software agents built on large language models generate traffic unlike human web traffic, yet routers have no class for it and cannot verify a sender's claim to be an agent. This paper proposes the Verifiable Agentic... Context & related coverage →
arxiv.org · 2026-11-10 · Ranked: agent + evaluation match · research watch · fresh 0.84 · score 2.41
We describe our solution for the 2026 BEHAVIOR Challenge: 100 long-horizon household tasks in the OmniGibson simulator. We placed 9th on the final leaderboard, the only independent team in the top 10. The core of the... Context & related coverage →
arxiv.org · 2026-11-10 · Ranked: evaluation match · research watch · fresh 0.83 · score 2.40
Evaluating candidate parallelization strategies through distributed training runs makes strategy selection prohibitively expensive at scale. Performance simulation offers a lower cost alternative, yet controlled compa... Context & related coverage →
huggingface.co · 2026-11-11 · Ranked: agentic match · research watch · fresh 0.89 · score 2.38 · Context
Learn how LangChain built GTM Agent on Deep Agents to build high-quality, custom sales artifacts trained on business context. Context & related coverage →
JioStar’s Vijay Seshadri explains AI discovery at 500M-user scale. Read his lessons on evals, guardrails, and taking AI into production. Context & related coverage →