Dataconomy

MARCH 13, 2023

The creation of artificial intelligence (AI) has long been a dream of scientists, engineers, and innovators. With advances in machine learning, deep learning, and natural language processing, the possibilities of what we can create with AI are limitless. The quality and quantity of data are crucial for the success of an AI system.

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Artificial Intelligence Artificial Intelligence Natural Language Processing Algorithm 98

Snorkel AI

JANUARY 26, 2023

Snorkel AI co-founder and CEO Alex Ratner recently interviewed several Snorkel researchers about their published academic papers. I am a PhD student in the computer science department at Stanford, advised by Chris Ré working on some broad themes of understanding data-centric AI, weak supervision and theoretical machine learning.

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K-nearest Neighbors Clustering AI AI 52

Snorkel AI

JANUARY 26, 2023

Snorkel AI co-founder and CEO Alex Ratner recently interviewed several Snorkel researchers about their published academic papers. I am a PhD student in the computer science department at Stanford, advised by Chris Ré working on some broad themes of understanding data-centric AI, weak supervision and theoretical machine learning.

K-nearest Neighbors 52

K-nearest Neighbors Clustering AI AI 52

Flipboard

AUGUST 17, 2023

Amazon Redshift uses SQL to analyze structured and semi-structured data across data warehouses, operational databases, and data lakes, using AWS-designed hardware and ML to deliver the best price-performance at any scale. Prerequisites To continue with the examples in this post, you need to create the required AWS resources.

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ML ML AWS Data Warehouse 93

AWS Machine Learning Blog

SEPTEMBER 18, 2023

Ray AI Runtime (AIR) reduces friction of going from development to production. With Ray and AIR, the same Python code can scale seamlessly from a laptop to a large cluster. The full code can be found on the aws-samples-for-ray GitHub repository. In the next section, we highlight key code snippets from each step.

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Machine Learning Machine Learning ML ML 99

AWS Machine Learning Blog

JANUARY 13, 2023

To mitigate these challenges, we propose a federated learning (FL) framework, based on open-source FedML on AWS, which enables analyzing sensitive HCLS data. In this two-part series, we demonstrate how you can deploy a cloud-based FL framework on AWS. For Account ID , enter the AWS account ID of the owner of the accepter VPC.

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AWS Analytics Analytics Machine Learning 71

AWS Machine Learning Blog

AUGUST 22, 2023

Usually, if the dataset or model is too large to be trained on a single instance, distributed training allows for multiple instances within a cluster to be used and distribute either data or model partitions across those instances during the training process. Each account or Region has its own training instances.

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Machine Learning Machine Learning AWS ML 72

AWS Machine Learning Blog

JANUARY 20, 2023

In this post, we discuss how CCC Intelligent Solutions (CCC) combined Amazon SageMaker with other AWS services to create a custom solution capable of hosting the types of complex artificial intelligence (AI) models envisioned. The challenge CCC processes more than $1 trillion claims transactions annually.

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AWS AI AI Computer Science 65

AWS Machine Learning Blog

MAY 24, 2023

By harnessing generative AI technologies, organizations can streamline IDP workflows, enhance user experience, and boost overall efficiency. An LLM is a type of AI model designed to understand and generate human-like text. As an alternative, you can use FAISS , an open-source vector clustering solution for storing vectors.

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AI AI AWS ML 74

O'Reilly Media

OCTOBER 19, 2021

Cloud-based data warehouses, such as Snowflake , AWS’ portfolio of databases like RDS, Redshift or Aurora , or an S3-based data lake , are a great match to ML use cases since they tend to be much more scalable than traditional databases, both in terms of the data set sizes as well as query patterns. Software Development Layers.

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ML ML Data Scientist AWS 137

The MLOps Blog

OCTOBER 3, 2023

Mikiko Bazeley: Most people are really surprised to hear that my background in college was not computer science. If you’re just faking it like a lot of Chat GPT and Gen AI folks are – faking it with no substance – people can’t connect. For example, you can use BigQuery , AWS , or Azure. How awful are they?”

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ML ML Data Scientist Machine Learning 52

AWS Machine Learning Blog

APRIL 18, 2023

GPT-J 6B large language model GPT-J 6B is an open-source, 6-billion-parameter model released by Eleuther AI. We serve developers and enterprises of all sizes through AWS, which offers a broad set of global compute, storage, database, and other service offerings. We also manufacture and sell electronic devices.

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ML ML Deep Learning Deep Learning 67

AWS Machine Learning Blog

APRIL 18, 2023

GPT-J 6B large language model GPT-J 6B is an open-source, 6-billion-parameter model released by Eleuther AI. We serve developers and enterprises of all sizes through AWS, which offers a broad set of global compute, storage, database, and other service offerings. We also manufacture and sell electronic devices.

ML 52

ML ML Deep Learning Deep Learning 52

Flipboard

NOVEMBER 24, 2023

Many customers are building generative AI apps on Amazon Bedrock and Amazon CodeWhisperer to create code artifacts based on natural language. In this post, we show you how SnapLogic , an AWS customer, used Amazon Bedrock to power their SnapGPT product through automated creation of these complex DSL artifacts from human language.

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Database AWS ETL SQL 112

AWS Machine Learning Blog

NOVEMBER 1, 2023

Visual language processing (VLP) is at the forefront of generative AI, driving advancements in multimodal learning that encompasses language intelligence, vision understanding, and processing. Solution overview The proposed VLP solution integrates a suite of state-of-the-art generative AI modules to yield accurate multimodal outputs.

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