Data Science 101

DECEMBER 27, 2019

AWS Deep Learning Containers now support Tensorflow 2.0 AWS Deep Learning Containers are docker images which are preconfigured for deep learning tasks. Global AI Bootcamp Keynote Eric Boyd from Microsoft gives an overview of the latest features in Azure AI. Education/Courses.

Cloud Data 86

Cloud Data Data Science Deep Learning Deep Learning 86

Dataconomy

FEBRUARY 6, 2024

With the ability to analyze a vast amount of data in real-time, identify patterns, and detect anomalies, AI/ML-powered tools are enhancing the operational efficiency of businesses in the IT sector. Why does AI/ML deserve to be the future of the modern world? Let’s understand the crucial role of AI/ML in the tech industry.

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AWS Machine Learning Blog

NOVEMBER 22, 2023

Roy from Qualcomm AI. Amazon Elastic Compute Cloud (Amazon EC2) DL2q instances, powered by Qualcomm AI 100 Standard accelerators, can be used to cost-efficiently deploy deep learning (DL) workloads in the cloud. DL2q instances are the first instances to bring Qualcomm’s artificial intelligent (AI) technology to the cloud.

AI 102

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Dataconomy

JANUARY 24, 2024

In the upcoming years, Vietnam is projected to identify itself as a significant hub for artificial intelligence (AI) development. It is a result of a dedicated focus on the government’s strategy towards building a digital economy and society, with AI as its core component.

AI 113

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ODSC - Open Data Science

FEBRUARY 17, 2023

Natural language processing (NLP) has been growing in awareness over the last few years, and with the popularity of ChatGPT and GPT-3 in 2022, NLP is now on the top of peoples’ minds when it comes to AI. Companies are finding NLP to be one of the best applications of AI regardless of industry.

Deep Learning 111

Deep Learning Deep Learning Data Science Natural Language Processing 111

Data Science 101

NOVEMBER 29, 2019

Use Amazon Sagemaker to add ML predictions in Amazon QuickSight Amazon QuickSight, the AWS BI tool, now has the capability to call Machine Learning models. Amazon Comprehend launches real-time classification Amazon Comprehend is a service which uses Natural Language Processing (NLP) to examine documents.

Cloud Data 115

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AWS Machine Learning Blog

JUNE 8, 2023

However, businesses can meet this challenge while providing personalized and efficient customer service with the advancements in generative artificial intelligence (generative AI) powered by large language models (LLMs). Generative AI chatbots have gained notoriety for their ability to imitate human intellect.

AWS 73

AWS AI AI Machine Learning 73

Mlearning.ai

JUNE 14, 2023

Learning LLMs (Foundational Models) Base Knowledge / Concepts: What is AI, ML and NLP Introduction to ML and AI — MFML Part 1 — YouTube What is NLP (Natural Language Processing)? — YouTube YouTube Introduction to Natural Language Processing (NLP) NLP 2012 Dan Jurafsky and Chris Manning (1.1)

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AWS Machine Learning Blog

JUNE 15, 2023

Dive into Deep Learning ( D2L.ai ) is an open-source textbook that makes deep learning accessible to everyone. Then we build Jupyter notebooks in SageMaker to run the translation process using Amazon Translate public APIs. About the authors Yunfei Bai is a Senior Solutions Architect at AWS.

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AWS Machine Learning Blog

JULY 24, 2023

This blog post was co-authored, and includes an introduction, by Zilong Bai, senior natural language processing engineer at Patsnap. We record the QPS and latency of the original PyTorch-based model and our converted TensorRT-based GPT-2 model on an AWS P3.2xlarge instance. Patent search is one of them. times faster).

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AWS Machine Learning Blog

APRIL 18, 2023

MLSL’s high caliber talent, culture, and focus on aiding our realization of measurable and compelling results from machine learning investments enabled us to reduce suicide risk, improve career transition, and speed up important connections for our service members, veterans, and their families.” Applied AI Specialist Architect at AWS.

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AWS Machine Learning Blog

FEBRUARY 29, 2024

Amazon Bedrock provides a broad range of models from Amazon and third-party providers, including Anthropic, AI21, Meta, Cohere, and Stability AI, and covers a wide range of use cases, including text and image generation, embedding, chat, high-level agents with reasoning and orchestration, and more.

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AWS Machine Learning Blog

SEPTEMBER 1, 2023

Nowadays, the majority of our customers is excited about large language models (LLMs) and thinking how generative AI could transform their business. In this post, we discuss how to operationalize generative AI applications using MLOps principles leading to foundation model operations (FMOps).

AI 103

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AWS Machine Learning Blog

AUGUST 14, 2023

In this post, we showcase how to build an end-to-end generative AI application for enterprise search with Retrieval Augmented Generation (RAG) by using Haystack pipelines and the Falcon-40b-instruct model from Amazon SageMaker JumpStart and Amazon OpenSearch Service. It also hosts foundation models solely developed by Amazon, such as AlexaTM.

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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.

Artificial Intelligence 98

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ODSC - Open Data Science

AUGUST 15, 2023

Advancements in data science and AI are coming at a lightning-fast pace. Full-Stack Machine Learning for Data Scientists Hugo Bowne-Anderson, PhD | Head of Data Science Evangelism and Marketing | Outerbounds This session will address the issue of how to make the life cycle of a machine learning project a repeatable process.

Machine Learning 52

Machine Learning Machine Learning Data Science Data Scientist 52

AWS Machine Learning Blog

APRIL 19, 2023

The DJL is a deep learning framework built from the ground up to support users of Java and JVM languages like Scala, Kotlin, and Clojure. With the DJL, integrating this deep learning is simple. Business requirements We are the US squad of the Sportradar AI department.

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AWS Machine Learning Blog

FEBRUARY 22, 2023

In this post, we discuss how Boomi used the bring-your-own-container (BYOC) approach to develop a new AI/ML enabled solution for their customers to tackle the “blank canvas” problem. The exact steps to replicate this process are outlined Train and deploy deep learning models using JAX with Amazon SageMaker.

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AWS Machine Learning Blog

APRIL 29, 2024

To build a production-grade AI system today (for example, to do multilingual sentiment analysis of customer support conversations), what are the primary technical challenges? Historically, natural language processing (NLP) would be a primary research and development expense.

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AWS ML ML Python 99

AWS Machine Learning Blog

NOVEMBER 22, 2023

Yes, the AWS re:Invent season is upon us and as always, the place to be is Las Vegas! Now all you need is some guidance on generative AI and machine learning (ML) sessions to attend at this twelfth edition of re:Invent. And although generative AI has appeared in previous events, this year we’re taking it to the next level.

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AWS Machine Learning Blog

DECEMBER 14, 2023

Amazon Comprehend is a natural-language processing (NLP) service that provides pre-trained and custom APIs to derive insights from textual data. To reduce the effort of preparing training data, we built a pre-labeling tool using AWS Step Functions that automatically pre-annotates documents by using existing tabular entity data.

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Hacker News

NOVEMBER 15, 2023

To understand the latest advance in generative AI , imagine a courtroom. Like a good judge, large language models ( LLMs ) can respond to a wide variety of human queries. Like a good judge, large language models ( LLMs ) can respond to a wide variety of human queries. So, What Is Retrieval-Augmented Generation?

Database 181

Database AI AI Natural Language Processing 181

AWS Machine Learning Blog

AUGUST 16, 2023

Travelers collaborated with the Amazon Machine Learning Solutions Lab (now known as the Generative AI Innovation Center ) to develop this framework to support and enhance aerial imagery model use cases. parquet s3://bigearthnet-s2-dataset/metadata/ aws s3 cp BigEarthNet-v1.0/ tif" --include "_B03.tif" tif" --include "_B04.tif"

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AWS Machine Learning Blog

SEPTEMBER 22, 2023

SageMaker Ground Truth Plus enables customers to prepare high-quality, large-scale training datasets to fine-tune foundation models to perform human-like generative AI tasks. For more information, refer to the AWS Sagemaker Developer Guide’s documentation on “ Clean Up ”.

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AWS Machine Learning Blog

AUGUST 14, 2023

In this post and accompanying notebook, we demonstrate how to deploy the BloomZ 176B foundation model using the SageMaker Python simplified SDK in Amazon SageMaker JumpStart as an endpoint and use it for various natural language processing (NLP) tasks. You can also access the foundation models thru Amazon SageMaker Studio.

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AWS Natural Language Processing Machine Learning Machine Learning 71

AWS Machine Learning Blog

MAY 25, 2023

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. Amazon SageMaker Processing jobs for large scale data ingestion into OpenSearch.

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AWS Machine Learning Blog

MAY 1, 2024

Large language models (LLMs) are making a significant impact in the realm of artificial intelligence (AI). Llama2 by Meta is an example of an LLM offered by AWS. Llama 2 is an auto-regressive language model that uses an optimized transformer architecture and is intended for commercial and research use in English.

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AWS Machine Learning Blog

APRIL 27, 2023

Solution overview With the onset of large language models, the field has seen tremendous progress on various natural language processing (NLP) benchmarks. Each answer ai is assigned a weight of 1 if it’s correct, otherwise it’s assigned a weight smaller than 1 (tunable hyperparameter).

Machine Learning 65

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AWS Machine Learning Blog

NOVEMBER 15, 2023

One such breakthrough is the Segment Anything Model (SAM) by Meta AI, which has the potential to revolutionize object-level segmentation with zero-shot or few-shot training. Amazon SageMaker is a fully managed ML platform that enables builders to explore large language and visual models and build generative AI applications.

Machine Learning 90

Machine Learning Machine Learning ML ML 90

ODSC - Open Data Science

JANUARY 29, 2024

The role of prompt engineer has attracted massive interest ever since Business Insider released an article last spring titled “ AI ‘Prompt Engineer Jobs: $375k Salary, No Tech Backgrund Required.” While many of us dream of having a job in AI that doesn’t require knowing AI tools and skillsets, that’s not actually the case.

Data Science 52

Data Science Machine Learning Machine Learning Natural Language Processing 52

The MLOps Blog

JANUARY 25, 2023

Sentiment analysis, commonly referred to as opinion mining/sentiment classification, is the technique of identifying and extracting subjective information from source materials using computational linguistics , text analysis , and natural language processing. positive, negative, neutral).

Natural Language Processing 52

Natural Language Processing ML ML Deep Learning 52

Mlearning.ai

JUNE 23, 2023

Relational databases (like MySQL) or No-SQL databases (AWS DynamoDB) can store structured or even semi-structured data but there is one inherent problem. Options (Free vs Paid) Closing Introduction In today’s increasingly globalized world, the ability to communicate in multiple languages has become a highly valuable skill.

Database 52

Database ML ML Natural Language Processing 52

DagsHub

FEBRUARY 29, 2024

If the data is inaccurate, incomplete, inconsistent, or biased, the machine learning model’s predictions will be flawed, which may lead to incorrect conclusions or business decisions and adverse impact on the customer experience. Building an accurate ML model requires clean, labeled and reliable data sets.

Data Preparation 52

Data Preparation Machine Learning Machine Learning Data Governance 52

Pickl AI

JULY 20, 2023

5. Text Analytics and Natural Language Processing (NLP) Projects: These projects involve analyzing unstructured text data, such as customer reviews, social media posts, emails, and news articles. Image Recognition with Deep Learning: Use Python with TensorFlow or PyTorch to build an image recognition model (e.g.,

Analytics 40

Analytics Analytics Big Data Big Data 40

AWS Machine Learning Blog

JUNE 13, 2023

The size of the machine learning (ML) models––large language models ( LLMs ) and foundation models ( FMs )–– is growing fast year-over-year , and these models need faster and more powerful accelerators, especially for generative AI. With AWS Inferentia1, customers saw up to 2.3x

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AWS Machine Learning Blog

MAY 4, 2023

The world of artificial intelligence (AI) and machine learning (ML) has been witnessing a paradigm shift with the rise of generative AI models that can create human-like text, images, code, and audio. Compared to classical ML models, generative AI models are significantly bigger and more complex.

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AWS Machine Learning Blog

JUNE 6, 2023

PyTorch is a machine learning (ML) framework that is widely used by AWS customers for a variety of applications, such as computer vision, natural language processing, content creation, and more. release, AWS customers can now do same things as they could with PyTorch 1.x 24xlarge with AWS PyTorch 2.0

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