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In the rapidly evolving world of AI technology, Microsoft Azure AI Studio, now generally available, is empowering organizations to create their own AI copilots. With AI Studio, organizations can customize and build their own copilot to meet their unique needs.   We’re excited to see organizations across various sectors staying competitive, driving innovation, and transforming their …

Build your own copilot with Microsoft Azure AI Studio   Read More »

Foreigners and expats living outside of their home country deal with a large number of emails in various languages daily. They often find themselves struggling with language barriers when it comes to setting up reminders for events like business gatherings and customer meetings. To solve this problem, this post shows you how to apply AWS …

Build your multilingual personal calendar assistant with Amazon Bedrock and AWS Step Functions Read More »

Generative AI and transformer-based large language models (LLMs) have been in the top headlines recently. These models demonstrate impressive performance in question answering, text summarization, code, and text generation. Today, LLMs are being used in real settings by companies, including the heavily-regulated healthcare and life sciences industry (HCLS). The use cases can range from medical …

Medical content creation in the age of generative AI Read More »

Knowledge Bases for Amazon Bedrock is a fully managed capability that helps you securely connect foundation models (FMs) in Amazon Bedrock to your company data using Retrieval Augmented Generation (RAG). This feature streamlines the entire RAG workflow, from ingestion to retrieval and prompt augmentation, eliminating the need for custom data source integrations and data flow …

Introducing guardrails in Knowledge Bases for Amazon Bedrock Read More »

You have likely already had the opportunity to interact with generative artificial intelligence (AI) tools (such as virtual assistants and chatbot applications) and noticed that you don’t always get the answer you are looking for, and that achieving it may not be straightforward. Large language models (LLMs), the models behind the generative AI revolution, receive …

Prompt engineering techniques and best practices: Learn by doing with Anthropic’s Claude 3 on Amazon Bedrock Read More »

The phrase, “time is money,” is commonly attributed to Benjamin Franklin, who first used it in his essay “Advice to a Young Tradesman,” published in 1748. Franklin was addressing the economic value of time, a concept increasingly relevant when discussing AI’s impact on business today. AI is adept at processing and analyzing troves of data …

10 ways to impact business velocity through Azure OpenAI Service Read More »

Amazon Q Business is a generative AI-powered assistant that can answer questions, provide summaries, generate content, and extract insights directly from the content in digital as well as scanned PDF documents in your enterprise data sources without needing to extract the text first. Customers across industries such as finance, insurance, healthcare life sciences, and more need …

Improve productivity when processing scanned PDFs using Amazon Q Business Read More »

Originally PyTorch used an eager mode where each PyTorch operation that forms the model is run independently as soon as it’s reached. PyTorch 2.0 introduced torch.compile to speed up PyTorch code over the default eager mode. In contrast to eager mode, the torch.compile pre-compiles the entire model into a single graph in a manner that’s optimal for …

Accelerated PyTorch inference with torch.compile on AWS Graviton processors Read More »

In November 2023, we announced Knowledge Bases for Amazon Bedrock as generally available. Knowledge bases allow Amazon Bedrock users to unlock the full potential of Retrieval Augmented Generation (RAG) by seamlessly integrating their company data into the language model’s generation process. This feature allows organizations to harness the power of large language models (LLMs) while …

Access control for vector stores using metadata filtering with Knowledge Bases for Amazon Bedrock Read More »

Traditionally, finding relevant information from documents has been a time-consuming and often frustrating process. Manually sifting through pages upon pages of text, searching for specific details, and synthesizing the information into coherent summaries can be a daunting task. This inefficiency not only hinders productivity but also increases the risk of overlooking critical insights buried within …

Accenture creates a custom memory-persistent conversational user experience using Amazon Q Business Read More »