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Browsing: Nova
Building intelligent audio search with Amazon Nova Embeddings: A deep dive into semantic audio understanding
If you’re looking to enhance your content understanding and search capabilities, audio embeddings offer a powerful solution. In this post, you’ll learn how to use Amazon…
Today, we’re sharing how Amazon Bedrock makes it straightforward to customize Amazon Nova models for your specific business needs. As customers scale their AI deployments, they…
Content creators and organizations today face a persistent challenge: producing high-quality audio content at scale. Traditional podcast production requires significant time investment (research, scheduling, recording, editing)…
Monitoring competitor prices is essential for ecommerce teams to maintain a market edge. However, many teams remain trapped in manual tracking, wasting hours daily checking individual…
Quality assurance (QA) automation is critical for modern software delivery. It catches regressions before production, validates user journeys at scale, and enables confident feature releases. But…
Deliver hyper-personalized viewer experiences with an agentic AI movie assistant using Amazon Bedrock AgentCore and Amazon Nova Sonic 2.0
Deliver hyperpersonalized viewer experiences with an agentic AI movie assistant using Amazon Nova Sonic 2.0Recommendation systems are the backbone of modern media streaming services, shaping how…
The SteelSeries Arctis Nova Pro Wireless came out almost four years ago, yet it’s still one of the best gaming headsets you can buy. Turns out,…
Overcoming LLM hallucinations in regulated industries: Artificial Genius’s deterministic models on Amazon Nova
This post is cowritten by Paul Burchard and Igor Halperin from Artificial Genius. The proliferation of large language models (LLMs) presents a significant paradox for highly…
If you’re running Amazon Nova 1 models on Amazon Bedrock, you might be looking to expand your context window size, deepen reasoning capabilities, or integrate external…
Generating high-quality custom videos remains a significant challenge, because video generation models are limited to their pre-trained knowledge. This limitation affects industries such as advertising, media…
