Abstract: Recently, Retrieval Augmented Generation (RAG) has emerged as a powerful paradigm for enhancing the capability of Large Language Models (LLMs) by incorporating external, up-to-date, or ...
The rollout spans markets, investment banking, wealth, trading, and risk functions. Finance, compliance, and regulatory teams will also adopt the tools. Citi aims to standardize data access and ...
We propose a novel neural label embedding (NLE) scheme for the domain adaptation of a deep neural network (DNN) acoustic model with unpaired data samples from source and target domains. With NLE ...
When you tag Claude in Slack, it will automatically scan your message for coding tasks to route to Claude Code. When you tag Claude in Slack, it will automatically scan your message for coding tasks ...
Cloud Architect at Amazon Web Services (AWS) specializing in cloud-native development, AI/ML, serverless compute, and event-driven architecture. Cloud Architect at Amazon Web Services (AWS) ...
Abstract: This article proposes a low-cost de-embedding method for millimeter-wave (mm-wave) on-chip applications. For conventional de-embedding methods, a trade-off between applicable frequencies and ...
The home-buying experience was once defined by its predictability. Lock in a mortgage rate, insure the property, and build equity over time. That rhythm is breaking down. According to the NAHB/Wells ...
Appian Corporation (NASDAQ:APPN) introduced major enhancements to its AI-powered process automation platform, embedding advanced AI agents directly into business workflows. The new release aims to ...
Uncovering complex disease patterns from large-scale, heterogeneous health data remains a significant challenge. Traditional statistical methods and conventional machine learning algorithms often ...
Some results have been hidden because they may be inaccessible to you
Show inaccessible results
Feedback