Tag: ai/ml

Posted by Vincent Cohen-Addad and Alessandro Epasto, Research Scientists, Google Research, Graph Mining team Clustering is a central problem in unsupervised machine learning (ML) with many applications across domains in both industry and academic research more broadly. At its core, clustering consists of the following problem: given a set of data elements, the goal is …

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One of the most common applications of generative AI and large language models (LLMs) in an enterprise environment is answering questions based on the enterprise’s knowledge corpus. Amazon Lex provides the framework for building AI based chatbots. Pre-trained foundation models (FMs) perform well at natural language understanding (NLU) tasks such summarization, text generation and question …

Read more “Build a powerful question answering bot with Amazon SageMaker, Amazon OpenSearch Service, Streamlit, and LangChain”

Today, the vast majority of data that gets generated in the world is unstructured (text, audio, images), but only a fraction of it ever gets analyzed. The AI pipelines required to unlock the value of this data are siloed from mainstream analytic systems, requiring engineers to build custom data infrastructure to integrate structured and unstructured …

Read more “Transform your unstructured data with AI using BigQuery object tables, now GA”

For about six years, AI has been an integral part of the artwork of Dominic Harris, a London-based digital artist who’s about to launch his biggest exhibition to date. “I use it for things like giving butterflies a natural sense of movement,” said Harris, whose typical canvas is an interactive computer display. Using a rack …

Read more “Butterfly Effects: Digital Artist Uses AI to Engage Exhibit Goers”

Intelligent document processing (IDP) is a technology that automates the processing of high volumes of unstructured data, including text, images, and videos. IDP offers a significant improvement over manual methods and legacy optical character recognition (OCR) systems by addressing challenges such as cost, errors, low accuracy, and limited scalability, ultimately leading to better outcomes for …

Read more “Dialogue-guided intelligent document processing with foundation models on Amazon SageMaker JumpStart”

Responsible AI — deployment framework I asked ChatGPT and Bard to share their thoughts on what policies governments have to put in place to ensure responsible AI implementations in their countries. Bard: Here are some policies that governments can put in place for responsible AI use: Ethical guidelines: These guidelines should outline the principles that AI systems should …

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