A 42-of-42 failure rate in our LLM benchmark was a parser bug. How we found it, fixed our scorer without fudging results, and ...
When a calculation result is off by one yen, simply adding round at the end does not always solve the problem. The result ...
Microsoft-Decision-1 is a Qwen3.5-9B decision-scoring model returning calibrated option probabilities at 85 ms p50 for $0.042 ...
AI models such as ChatGPT, Gemini and Claude, can be used to power agents – 'harnesses' that allow the models to interact ...
A new open-source simulator called FLInterrupt makes sudden client dropouts a controllable experimental variable in federated ...
Jev, TypeSafe AI's System One decision model is a watershed moment in AGI. How it works, Jev source code in Python, ...
Datalab's OmniExtractBench tests extraction on 620 documents from 4 vendor benchmarks with 1 deterministic scorer explaining ...
TL;DR: Using a refund workflow in ADK, we'll cover fan-out and fan-in, deterministic and agent routers, human-in-the-loop ...
Learn about GKE Agent Sandbox optimized for RL, the Agent Sandbox RL orchestration SDK, and native integrations for popular ...
Today's learning content Changed Gmail sending method from ezgmail to smtplib "Automate the Boring Stuff with Python" Chapter ...
NVIDIA launches AIPerf, a new load client designed to reliably benchmark LLM inference at scale and overcome limitations of scripting or single-process tools.
TypeScript educator Matt Pocock argues that as AI agents commoditized tactical programming and cut his course revenue, the scarce skill has shifted ...
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