Abstract: Deep learning has rapidly advanced in both performance and development, but the training of deep learning models is often time-consuming and resource intensive, and needing adjustment on a ...

LangChain open-sources evaluation methodology for Deep Agents, emphasizing targeted testing over volume to improve AI agent reliability in production. LangChain has published its internal methodology ...

Ever thought what turns a good idea into a working application? The short and simple answer to this question is selecting the right framework. As Python has gained popularity among web development ...

"summary": "Defines the verified ownership split for AI Eval Framework v1 so execution aligns with domain accountability: engineering owns dataset, criteria, and pipelines; product owns hierarchy ...

Get the latest federal technology news delivered to your inbox. The Central Intelligence Agency said it’s overhauling how it procures technology from the private sector, as part of an effort to more ...

Deep tech startups in sectors such as space, semiconductors, and biotech take far longer to mature than conventional ventures. Because of that, India is adjusting its startup rules, and mobilizing ...

LangChain releases Deep Agents with subagents and skills primitives to tackle context bloat in AI systems. Here's what developers need to know. LangChain has released Deep Agents, a framework designed ...

Enhance the evaluation framework to support multiple prompts based on different agents. This will allow better testing coverage across different agent types and scenarios. Currently the eval framework ...

Abstract: The rapid scaling of large language model (LLM) training and inference has accelerated their adoption in semiconductor design across academia and industry. Most prior works benchmark LLMs ...