SynthDST: Synthetic Data is All You Need for Few-Shot Dialog State Tracking

In-context learning with Large Language Models (LLMs) has emerged as a promising avenue of research in Dialog State Tracking (DST). However, the best-performing in-context learning methods involve retrieving and adding similar examples to the prompt, requiring access to labeled training data. Procuring such training data for a wide range of domains and applications is time-consuming, …

How to mitigate the risks of DIY authoritative DNS

While many network admins outsource the management of authoritative domain name system (DNS) infrastructure to a third party like IBM® NS1 Connect®, there is a sizable community of network operators who prefer to dig in and build something themselves. These do it yourself (DIY) authoritative DNS architectures can be cobbled together from various tools. BIND is most …

ML 15027 arch diagram

How Axfood enables accelerated machine learning throughout the organization using Amazon SageMaker

This is a guest post written by Axfood AB.  In this post, we share how Axfood, a large Swedish food retailer, improved operations and scalability of their existing artificial intelligence (AI) and machine learning (ML) operations by prototyping in close collaboration with AWS experts and using Amazon SageMaker. Axfood is Sweden’s second largest food retailer, …

Multichannel Voice Trigger Detection Based on Transform-average-concatenate

This paper was accepted at the workshop HSCMA at ICASSP 2024. Voice triggering (VT) enables users to activate their devices by just speaking a trigger phrase. A front-end system is typically used to perform speech enhancement and/or separation, and produces multiple enhanced and/or separated signals. Since conventional VT systems take only single-channel audio as input, …

12Apum8HfOu5XkB9XEwsKl hw

Announcing bpftop: Streamlining eBPF performance optimization

By Jose Fernandez Today, we are thrilled to announce the release of bpftop, a command-line tool designed to streamline the performance optimization and monitoring of eBPF applications. As Netflix increasingly adopts eBPF [1, 2], applying the same rigor to these applications as we do to other managed services is imperative. Striking a balance between eBPF’s …

6 benefits of data lineage for financial services

The financial services industry has been in the process of modernizing its data governance for more than a decade. But as we inch closer to global economic downturn, the need for top-notch governance has become increasingly urgent. How can banks, credit unions, and financial advisors keep up with demanding regulations while battling restricted budgets and …

1 solution overview 2

Techniques and approaches for monitoring large language models on AWS

Large Language Models (LLMs) have revolutionized the field of natural language processing (NLP), improving tasks such as language translation, text summarization, and sentiment analysis. However, as these models continue to grow in size and complexity, monitoring their performance and behavior has become increasingly challenging. Monitoring the performance and behavior of LLMs is a critical task …

Image1 Updated.max 1000x1000 1

MWC’24: Unlocking the AI-enabled Telco with Google Cloud

When meeting with Communications Service Providers (CSPs) around the world, there is one clear theme: artificial intelligence (AI) is changing the game, unlocking significant value across the CSP value chain, and changing how CSPs and their customers interact with technology. MWC’24 is no exception, and we are thrilled to be back in Barcelona this week …

How to implement the General Data Protection Regulation (GDPR)

The General Data Protection Regulation (GDPR), the European Union’s landmark data privacy law, took effect in 2018. Yet many organizations still struggle to meet compliance requirements, and EU data protection authorities do not hesitate to hand out penalties. Even the world’s biggest businesses are not free from GDPR woes. Irish regulators hit Meta with a …

Shining Brighter Together: Google’s Gemma Optimized to Run on NVIDIA GPUs

NVIDIA, in collaboration with Google, today launched optimizations across all NVIDIA AI platforms for Gemma — Google’s state-of-the-art new lightweight 2 billion– and 7 billion-parameter open language models that can be run anywhere, reducing costs and speeding innovative work for domain-specific use cases. Teams from the companies worked closely together to accelerate the performance of …