Generative AI

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Adobe enhances developer productivity using Amazon Bedrock Knowledge Bases

Adobe Inc. excels in providing a comprehensive suite of creative tools that empower artists, designers, and developers across various digital disciplines. Their product landscape is the backbone of countless creative projects worldwide, ranging from web design and photo editing to vector graphics and video production. Adobe’s internal developers use a vast array of wiki pages, […]

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Amazon Nova Lite enables Bito to offer a free tier option for its AI-powered code reviews

This post is co-written by Amar Goel, co-founder and CEO of Bito. Meticulous code review is a critical step in the software development process, one that helps delivery high-quality code that’s ready for enterprise use. However, it can be a time-consuming process at scale, when experts must review thousands of lines of code, looking for

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Automate customer support with Amazon Bedrock, LangGraph, and Mistral models

AI agents are transforming the landscape of customer support by bridging the gap between large language models (LLMs) and real-world applications. These intelligent, autonomous systems are poised to revolutionize customer service across industries, ushering in a new era of human-AI collaboration and problem-solving. By harnessing the power of LLMs and integrating them with specialized tools

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Build responsible AI applications with Amazon Bedrock Guardrails

As organizations embrace generative AI, they face critical challenges in making sure their applications align with their designed safeguards. Although foundation models (FMs) offer powerful capabilities, they can also introduce unique risks, such as generating harmful content, exposing sensitive information, being vulnerable to prompt injection attacks, and returning model hallucinations. Amazon Bedrock Guardrails has helped

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Effective cost optimization strategies for Amazon Bedrock

Customers are increasingly using generative AI to enhance efficiency, personalize experiences, and drive innovation across various industries. For instance, generative AI can be used to perform text summarization, facilitate personalized marketing strategies, create business-critical chat-based assistants, and so on. However, as generative AI adoption grows, associated costs can escalate in several areas including cost in

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Building intelligent AI voice agents with Pipecat and Amazon Bedrock – Part 1

Voice AI is transforming how we interact with technology, making conversational interactions more natural and intuitive than ever before. At the same time, AI agents are becoming increasingly sophisticated, capable of understanding complex queries and taking autonomous actions on our behalf. As these trends converge, you see the emergence of intelligent AI voice agents that

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How Kepler democratized AI access and enhanced client services with Amazon Q Business

This is a guest post co-authored by Evan Miller, Noah Kershaw, and Valerie Renda of Kepler Group At Kepler, a global full-service digital marketing agency serving Fortune 500 brands, we understand the delicate balance between creative marketing strategies and data-driven precision. Our company name draws inspiration from the visionary astronomer Johannes Kepler, reflecting our commitment

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Build a serverless audio summarization solution with Amazon Bedrock and Whisper

Recordings of business meetings, interviews, and customer interactions have become essential for preserving important information. However, transcribing and summarizing these recordings manually is often time-consuming and labor-intensive. With the progress in generative AI and automatic speech recognition (ASR), automated solutions have emerged to make this process faster and more efficient. Protecting personally identifiable information (PII)

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Implement semantic video search using open source large vision models on Amazon SageMaker and Amazon OpenSearch Serverless

As companies and individual users deal with constantly growing amounts of video content, the ability to perform low-effort search to retrieve videos or video segments using natural language becomes increasingly valuable. Semantic video search offers a powerful solution to this problem, so users can search for relevant video content based on textual queries or descriptions.

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Contextual retrieval in Anthropic using Amazon Bedrock Knowledge Bases

For an AI model to perform effectively in specialized domains, it requires access to relevant background knowledge. A customer support chat assistant, for instance, needs detailed information about the business it serves, and a legal analysis tool must draw upon a comprehensive database of past cases. To equip large language models (LLMs) with this knowledge,

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