Moody’s launches quantum-as-a-service platform for finance

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The platform allows clients to compare and benchmark quantum and classical algorithms for a given task. According to the Moody’s Analytics website, QFStudio is a software-as-a-service (SaaS) offering that will serve as “a continuous integration, benchmark, and delivery platform” for quantum...

Price analysis 12/6: BTC, ETH, BNB, XRP, SOL, ADA, DOGE, AVAX, LINK, TON

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Bitcoin is witnessing profit-booking by short-term holders, but institutional investors continue to put money into BTC investment products... Bitcoin (BTC) has been on a tear, rising more than 10% this week... This shows that traders are urgently scrambling to buy Bitcoin as they anticipate the p...

Techniques for automatic summarization of documents using language models

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Summarization methods have a broad range of applications serving various purposes, such as: News aggregation – News aggregation involves summarizing news articles into a newsletter for the media industry Legal document summarization – Legal document summarization helps legal professionals extract key legal information from lengthy documents like terms, conditions, and contracts Acade...

Boosting RAG-based intelligent document assistants using entity extraction, SQL querying, and agents with Amazon Bedrock

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However, they can’t generalize well to enterprise-specific questions because, to generate an answer, they rely on the public data they were exposed to during pre-training... However, the popular RAG design pattern with semantic search can’t answer all types of questions that are possible on documents... This is especially true for questions that require analytical reasoning across multiple d...

Enable faster training with Amazon SageMaker data parallel library

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Large language model (LLM) training has become increasingly popular over the last year with the release of several publicly available models such as Llama2, Falcon, and StarCoder... Customers are now training LLMs of unprecedented size ranging from 1 billion to over 175 billion parameters... Training these LLMs requires significant compute resources and time as hundreds to thousands of graphics pr...

Use custom metadata created by Amazon Comprehend to intelligently process insurance claims using Amazon Kendra

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In this use case, the documents received by the insurance provider do not contain any metadata that allows searching the content based on certain entities and classes... The insurance provider wants to filter Kendra content based on custom entities and classes specific to their business domain... Solution overview In this proposed solution, we will 1) classify insurance claims submissions into ...

Foundational data protection for enterprise LLM acceleration with Protopia AI

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New and powerful large language models (LLMs) are changing businesses rapidly, improving efficiency and effectiveness for a variety of enterprise use cases... AWS is especially well suited to provide enterprises the tools necessary for deploying LLMs at scale to enable critical decision-making... In their implementation of generative AI technology, enterprises have real concerns about data expo...