Remove 2012 Remove AI Remove Natural Language Processing
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Intelligent document processing at scale with generative AI and Amazon Bedrock Data Automation

Flipboard

Although various AI services and solutions support NER, this approach is limited to text documents and only supports a fixed set of entities. Generative AI unlocks these possibilities without costly data annotation or model training, enabling more comprehensive intelligent document processing (IDP).

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Transforming financial analysis with CreditAI on Amazon Bedrock: Octus’s journey with AWS

AWS Machine Learning Blog

Financial institutions need a solution that can not only aggregate and process large volumes of data but also deliver actionable intelligence in a conversational, user-friendly format. It became apparent that a cost-effective solution for our generative AI needs was required. Enter Amazon Bedrock Knowledge Bases.

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Fine-tune multimodal models for vision and text use cases on Amazon SageMaker JumpStart

AWS Machine Learning Blog

In the rapidly evolving landscape of AI, generative models have emerged as a transformative technology, empowering users to explore new frontiers of creativity and problem-solving. 11B and 90B are the first Llama models to support vision tasks, with a new model architecture that integrates image encoder representations into the language model.

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Fine-tune LLMs with synthetic data for context-based Q&A using Amazon Bedrock

AWS Machine Learning Blog

Theres a growing demand from customers to incorporate generative AI into their businesses. Many use cases involve using pre-trained large language models (LLMs) through approaches like Retrieval Augmented Generation (RAG). You can use the API to programmatically send an inference (text generation) request to the model of your choice.

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The Blurring Lines Between AI Academia and Industry

Dataconomy

The world of AI research is in constant flux, with breakthroughs emerging at a dizzying pace. Increasingly, big tech companies play a pivotal role in AI research, blurring the lines between academia and industry. Increasingly, big tech companies play a pivotal role in AI research, blurring the lines between academia and industry.

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Behind the glory: the dark sides of AI models that big tech will not tell you.

Towards AI

Last Updated on February 13, 2023 by Editorial Team Author(s): Lan Chu Originally published on Towards AI. In this article, I aim to bring attention to the importance of knowing that, even though large AI models are impressive, there are often unacknowledged costs behind them.

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How Duolingo’s AI Learns What You Need to Learn

Flipboard

Duolingo, with its gamelike approach and cast of bright cartoon characters, presents a simple user interface to guide learners through a curriculum that leads to language proficiency, or even fluency. But behind the scenes, sophisticated artificial-intelligence (AI) systems are at work.

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