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Managed DNS is where a third-party hosts and optimizes your DNS resolution architecture to provide the fastest, most secure, most reliable experience. Perhaps the easiest way to explain it is by looking at the opposite scenario: what if you don’t have a managed DNS service in place? Every query in the Domain Name System (DNS) follows the …
Structured Query Language (SQL) is a complex language that requires an understanding of databases and metadata. Today, generative AI can enable people without SQL knowledge. This generative AI task is called text-to-SQL, which generates SQL queries from natural language processing (NLP) and converts text into semantically correct SQL. The solution in this post aims to …
Last year, we surveyed over 100 senior executives from leading companies on the top generative AI use cases for 2024. They told us their top use cases delivered near-term benefits for their business and had a lower time to and risk to implement. Specifically, they identified improving customer service, increasing the productivity of software development …
Read more “Code samples to get started building generative AI apps on Google Cloud”
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, …
Read more “SynthDST: Synthetic Data is All You Need for Few-Shot Dialog State Tracking”
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 …
Read more “How to mitigate the risks of DIY authoritative DNS”
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, …
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, …
Read more “Multichannel Voice Trigger Detection Based on Transform-average-concatenate”
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 …
Read more “Announcing bpftop: Streamlining eBPF performance optimization”
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 …
Read more “6 benefits of data lineage for financial services”
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 …
Read more “Techniques and approaches for monitoring large language models on AWS”