Not everything needs an LLM: A framework for evaluating when AI makes sense
The answer to ‘What customer needs requires an AI solution?’ isn’t always ‘Yes.’ LLMs are still expensive and not always accurate.Read More
The answer to ‘What customer needs requires an AI solution?’ isn’t always ‘Yes.’ LLMs are still expensive and not always accurate.Read More
The Amazon Bedrock multi-agent collaboration feature gives developers the flexibility to create and coordinate multiple AI agents, each specialized for specific tasks, to work together efficiently on complex business processes. This enables seamless handling of sophisticated workflows through agent cooperation. This post aims to demonstrate the application of multiple specialized agents within the Amazon Bedrock …
Read more “Build a gen AI–powered financial assistant with Amazon Bedrock multi-agent collaboration”
Your customers might not all speak the same language. If you operate internationally or serve a diverse customer base, you need your chatbot to meet them where they are – whether they’re searching for something in Spanish or Japanese. If you want to give your customers multilingual support with chatbots, you’ll need to orchestrate multiple …
RSAC 2025 made one thing clear: AI agents are entering security workflows, but boards want proof they work.Read More
A photo taken this week showed Mike Waltz using an app that looks like—but is not—Signal to communicate with top officials. “I don’t even know where to start with this,” says one expert.
While exploring a digitally represented object through artificially created sense of touch, brain-computer interface users described the warm fur of a purring cat, the smooth rigid surface of a door key and cool roundness of an apple.
Recent advances in robotics and machine learning have enabled the automation of many real-world tasks, including various manufacturing and industrial processes. Among other applications, robotic and artificial intelligence (AI) systems have been successfully used to automate some steps in manufacturing clothes.
Pan-privacy was proposed by Dwork et al. (2010) as an approach to designing a private analytics system that retains its privacy properties in the face of intrusions that expose the system’s internal state. Motivated by federated telemetry applications, we study local pan-privacy, where privacy should be retained under repeated unannounced intrusions on the local state. …
Multimodal fine-tuning represents a powerful approach for customizing foundation models (FMs) to excel at specific tasks that involve both visual and textual information. Although base multimodal models offer impressive general capabilities, they often fall short when faced with specialized visual tasks, domain-specific content, or particular output formatting requirements. Fine-tuning addresses these limitations by adapting models …
Read more “Best practices for Meta Llama 3.2 multimodal fine-tuning on Amazon Bedrock”
The American version of Temu abruptly began to show only “local” products days before the Trump administration was set to end a tariff loophole for small packages from China.