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In today’s customer-centric business world, providing exceptional customer service is crucial for success. Contact centers play a vital role in shaping customer experiences, and analyzing post-call interactions can provide valuable insights to improve agent performance, identify areas for improvement, and enhance overall customer satisfaction. Amazon Web Services (AWS) has AI and generative AI solutions that …

Boost post-call analytics with Amazon Q in QuickSight Read More »

This post is co-written with Harrison Chase, Erick Friis and Linda Ye from LangChain. Generative AI is set to revolutionize user experiences over the next few years. A crucial step in that journey involves bringing in AI assistants that intelligently use tools to help customers navigate the digital landscape. In this post, we demonstrate how …

Create a next generation chat assistant with Amazon Bedrock, Amazon Connect, Amazon Lex, LangChain, and WhatsApp Read More »

Google Labs worked with Jacob Collier to improve and simplify MusicFX DJ.

GOV.UK, the official website of the UK government, partnered with consultancy Kin + Carta and Google Cloud to improve its user experience and transform its search engine…

To stay competitive, businesses across industries use foundation models (FMs) to transform their applications. Although FMs offer impressive out-of-the-box capabilities, achieving a true competitive edge often requires deep model customization through pre-training or fine-tuning. However, these approaches demand advanced AI expertise, high performance compute, fast storage access and can be prohibitively expensive for many organizations. …

Generative AI foundation model training on Amazon SageMaker Read More »

You can now create an end-to-end workflow to train, fine tune, evaluate, register, and deploy generative AI models with the visual designer for Amazon SageMaker Pipelines. SageMaker Pipelines is a serverless workflow orchestration service purpose-built for foundation model operations (FMOps). It accelerates your generative AI journey from prototype to production because you don’t need to …

Automate fine-tuning of Llama 3.x models with the new visual designer for Amazon SageMaker Pipelines Read More »

Today, we’re pleased to announce the general availability (GA) of Amazon Bedrock Custom Model Import. This feature empowers customers to import and use their customized models alongside existing foundation models (FMs) through a single, unified API. Whether leveraging fine-tuned models like Meta Llama, Mistral Mixtral, and IBM Granite, or developing proprietary models based on popular …

Amazon Bedrock Custom Model Import now generally available Read More »

Generative AI adoption among various industries is revolutionizing different types of applications, including image editing. Image editing is used in various sectors, such as graphic designing, marketing, and social media. Users rely on specialized tools for editing images. Building a custom solution for this task can be complex. However, by using various AWS services, you …

Deploy a serverless web application to edit images using Amazon Bedrock Read More »

Many organizations are building generative AI applications powered by large language models (LLMs) to boost productivity and build differentiated experiences. These LLMs are large and complex and deploying them requires powerful computing resources and results in high inference costs. For businesses and researchers with limited resources, the high inference costs of generative AI models can …

Brilliant words, brilliant writing: Using AWS AI chips to quickly deploy Meta LLama 3-powered applications Read More »