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Perform generative AI-powered data prep and no-code ML over any size of data using Amazon SageMaker Canvas

Amazon SageMaker Canvas now empowers enterprises to harness the full potential of their data by enabling support of petabyte-scale datasets. Starting today, you can interactively prepare large datasets, create end-to-end data flows, and invoke automated machine learning (AutoML) experiments on petabytes of data—a substantial leap from the previous 5 GB limit. With over 50 connectors, …

Save up to $400 on Your Chatbot Conference Tickets!

For a limited time, you can save up to $400 on Tickets to the Chatbot Conference 2024. Whether you’re a returning attendee or new to our community, this is the perfect chance to experience the future of AI and chatbot technology at a discounted rate. Here’s What You Can Expect: Insightful Keynotes: Hear from pioneers and …

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Delight your customers with great conversational experiences via QnABot, a generative AI chatbot

QnABot on AWS (an AWS Solution) now provides access to Amazon Bedrock foundational models (FMs) and Knowledge Bases for Amazon Bedrock, a fully managed end-to-end Retrieval Augmented Generation (RAG) workflow. You can now provide contextual information from your private data sources that can be used to create rich, contextual, conversational experiences. The advent of generative …

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Introducing document-level sync reports: Enhanced data sync visibility in Amazon Q Business

Amazon Q Business is a fully managed, generative artificial intelligence (AI)-powered assistant that helps enterprises unlock the value of their data and knowledge. With Amazon Q, you can quickly find answers to questions, generate summaries and content, and complete tasks by using the information and expertise stored across your company’s various data sources and enterprise …

The top AI courses for a summer of learning with Google Cloud

aside_block <ListValue: [StructValue([(‘title’, ‘Get hands-on generative AI experience for free’), (‘body’, <wagtail.rich_text.RichText object at 0x3e4d2ef06f70>), (‘btn_text’, ‘Get started for free’), (‘href’, ‘https://console.cloud.google.com/freetrial?redirectPath=/vertex-ai/generative’), (‘image’, None)])]> Summer’s well on its way, and it feels like it’s time for a road trip! But instead of just cruising down the highway, why not embark on a journey that supercharges …

ToolSandbox: A Stateful, Conversational, Interactive Evaluation Benchmark for LLM Tool Use Capabilities

Recent large language models (LLMs) advancements sparked a growing research interest in tool assisted LLMs solving real-world challenges, which calls for comprehensive evaluation of tool-use capabilities. While previous works focused on either evaluating over stateless web services (RESTful API), based on a single turn user prompt, or an off-policy dialog trajectory, ToolSandbox includes stateful tool …

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Intelligent healthcare forms analysis with Amazon Bedrock

Generative artificial intelligence (AI) provides an opportunity for improvements in healthcare by combining and analyzing structured and unstructured data across previously disconnected silos. Generative AI can help raise the bar on efficiency and effectiveness across the full scope of healthcare delivery. The healthcare industry generates and collects a significant amount of unstructured textual data, including …

Applications Now Open for $60,000 NVIDIA Graduate Fellowship Awards

Bringing together the world’s brightest minds and the latest accelerated computing technology leads to powerful breakthroughs that help tackle some of the biggest research problems. To foster such innovation, the NVIDIA Graduate Fellowship Program provides grants, mentors and technical support to doctoral students doing outstanding research relevant to NVIDIA technologies. The program, in its 24th …

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Thinking Outside the (Black) Box

Thinking Outside the (Black) Box: Building More Transparent and Explainable AI Systems in AIP (Engineering Responsible AI , #2) Advanced LLMs display incredible capabilities for processing and generating natural language. As discussed in the first blog post in this series, this can be a double-edged sword: LLMs are prone to “hallucinating” nonsensical or fictitious outputs that nonetheless seem …