A new technical paper titled “AutoEDA: Enabling EDA Flow Automation through Microservice-Based LLM Agents” was published by researchers at Duke University and University of Maryland. “Modern ...
Microsoft has joined the race for large language model (LLM) application frameworks with its open source Python library, AutoGen. As described by Microsoft, AutoGen is “a framework for simplifying the ...
Having spent years building and scaling artificial intelligence and machine language (AI/ML) solutions at AWS Bedrock and now at Intuit, I've witnessed firsthand the incredible advancements in large ...
EUDIW/EBW providers must not require bundling with any specific LLM/agent vendor. LLM providers may integrate, but cannot be mandatory intermediaries for wallet use. Issuers must support binary/signed ...
A new benchmark developed by academics shows that LLM-based AI agents perform below par on standard CRM tests and fail to understand the need for customer confidentiality.… A team led by Kung-Hsiang ...
Varun is a product management and AI leader, shaping the future of tech with strategic vision, AI platforms and agentic-AI experiences. One-off benchmarks rarely predict business outcomes. AI evals ...
A new learning paradigm developed by University College London (UCL) and Huawei Noah’s Ark Lab enables large language model (LLM) agents to dynamically adapt to their environment without fine-tuning ...
Modern computing systems rely heavily on operating-system schedulers to allocate CPU time fairly and efficiently. Yet many of these schedulers operate blindly with respect to the meaning of workloads: ...
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