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Using transcription confidence scores to improve slot filling in Amazon Lex

Using transcription confidence scores to improve slot filling in Amazon Lex

When building voice-enabled chatbots with Amazon Lex, one of the biggest challenges is accurately capturing user speech input for slot values. For example, when a user needs to provide their account number or confirmation code, speech recognition accuracy becomes crucial. This is where transcription confidence scores come in to help ensure reliable slot filling. What …

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Improving Retrieval Augmented Generation accuracy with GraphRAG

Improving Retrieval Augmented Generation accuracy with GraphRAG

Customers need better accuracy to take generative AI applications into production. In a world where decisions are increasingly data-driven, the integrity and reliability of information are paramount. To address this, customers often begin by enhancing generative AI accuracy through vector-based retrieval systems and the Retrieval Augmented Generation (RAG) architectural pattern, which integrates dense embeddings to …

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Achieving AI-powered success: Learnings from Cloud Cultures Season 3 

Achieving AI-powered success: Learnings from Cloud Cultures Season 3 

Cloud technology plays an important role in how organizations around the world are modernizing and innovating. Equally important is the vision that business and technology leaders bring to the process. Shaped by culture, traditions, and values, it’s our lived experience that often forms the foundation for innovation. Technology helps bring the vision to life. In …

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Add a generative AI experience to your website or web application with Amazon Q embedded

Add a generative AI experience to your website or web application with Amazon Q embedded

Generative AI offers many benefits for both you, as a software provider, and your end-users. AI assistants can help users generate insights, get help, and find information that may be hard to surface using traditional means. In addition, they can help your employees reduce repetitive tasks and focus on high-value work. However, adding generative AI …

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An introduction to preparing your own dataset for LLM training

An introduction to preparing your own dataset for LLM training

Large language models (LLMs) have demonstrated remarkable capabilities in a wide range of linguistic tasks. However, the performance of these models is heavily influenced by the data used during the training process. In this blog post, we provide an introduction to preparing your own dataset for LLM training. Whether your goal is to fine-tune a pre-trained …

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Design multi-agent orchestration with reasoning using Amazon Bedrock and open source frameworks

Design multi-agent orchestration with reasoning using Amazon Bedrock and open source frameworks

As generative AI capabilities evolve, successful business adoptions hinge on the development of robust problem-solving capabilities. At the forefront of this transformation are agentic systems, which harness the power of foundation models (FMs) to tackle complex, real-world challenges. By seamlessly integrating multiple agents, these innovative solutions enable autonomous collaboration, decision-making, and efficient problem-solving in diverse …

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Microsoft Cost Management—2024 year in review 

Microsoft Cost Management—2024 year in review 

Introduction  The year 2024 was all about accelerating advancements in AI technologies with improved and much more powerful language models, agent eco-systems and accompanying tools to build them, and of course advancements in the silicon layer. As companies adopt these new technologies, they are also focused on the ROI (Return on investment) and you as …

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