AWS Machine Learning Blog

FEBRUARY 19, 2025

Foundational models (FMs) and generative AI are transforming how financial service institutions (FSIs) operate their core business functions. AWS FSI customers, including NASDAQ, State Bank of India, and Bridgewater, have used FMs to reimagine their business operations and deliver improved outcomes. For instance: Scenario A $1.5M

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AWS Machine Learning Blog

DECEMBER 14, 2023

Established in 2011, Talent.com aggregates paid job listings from their clients and public job listings, and has created a unified, easily searchable platform. The solution does not require porting the feature extraction code to use PySpark, as required when using AWS Glue as the ETL solution. path_suffix='.parquet',

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Hacker News

NOVEMBER 15, 2023

To understand the latest advance in generative AI , imagine a courtroom. The court clerk of AI is a process called retrieval-augmented generation, or RAG for short. Retrieval-augmented generation is a technique for enhancing the accuracy and reliability of generative AI models with facts fetched from external sources.

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AWS Machine Learning Blog

OCTOBER 23, 2023

Founded in 2011, Talent.com is one of the world’s largest sources of employment. The system is developed by a team of dedicated applied machine learning (ML) scientists, ML engineers, and subject matter experts in collaboration between AWS and Talent.com. The recommendation system has driven an 8.6%

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AWS Machine Learning Blog

APRIL 6, 2023

& AWS Machine Learning Solutions Lab (MLSL) Machine learning (ML) is being used across a wide range of industries to extract actionable insights from data to streamline processes and improve revenue generation. We trained three models using data from 2011–2018 and predicted the sales values until 2021.

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AWS Machine Learning Blog

APRIL 19, 2023

Streaming ingestion – An Amazon Kinesis Data Analytics for Apache Flink application backed by Apache Kafka topics in Amazon Managed Streaming for Apache Kafka (MSK) (Amazon MSK) calculates aggregated features from a transaction stream, and an AWS Lambda function updates the online feature store.

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AWS Machine Learning Blog

MAY 2, 2023

There are a few limitations of using off-the-shelf pre-trained LLMs: They’re usually trained offline, making the model agnostic to the latest information (for example, a chatbot trained from 2011–2018 has no information about COVID-19). Managed Spot Training is supported in all AWS Regions where Amazon SageMaker is currently available.

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DagsHub

JULY 25, 2024

Source: Author Introduction Deep learning, a branch of machine learning inspired by biological neural networks, has become a key technique in artificial intelligence (AI) applications. Choosing the best deep learning platform is essential for AI and machine learning initiatives to be as efficient and productive as possible.

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AWS Machine Learning Blog

JULY 20, 2023

Artificial intelligence (AI) has become an important and popular topic in the technology community. As AI has evolved, we have seen different types of machine learning (ML) models emerge. Framework containers enable you to use ready-made environments managed by AWS that include all necessary configuration and modules.

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Dataconomy

MARCH 18, 2025

billion in 2011. Google aims to bolster its position in the enterprise cloud market, where it has struggled against competitors like AWS and Microsoft Azure. The acquisition of Wiz supports this objective as Wiz provides AI-driven cybersecurity solutions that help businesses address critical risks.

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AWS Machine Learning Blog

NOVEMBER 18, 2024

In this post, we show you how DXC and AWS collaborated to build an AI assistant using large language models (LLMs), enabling users to access and analyze different data types from a variety of data sources. query_rewriting_prompt = """ You are an AI assistant that helps a human answer oil and gas question.

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AWS Machine Learning Blog

NOVEMBER 11, 2024

Generative AI models have seen tremendous growth, offering cutting-edge solutions for text generation, summarization, code generation, and question answering. series sets a new benchmark in generative AI with its advanced multimodal capabilities and optimized performance across diverse hardware platforms. Meta’s newly launched Llama 3.2

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