AWS Machine Learning Blog

MARCH 14, 2024

Amazon Kendra uses natural language processing (NLP) to understand user queries and find the most relevant documents. The longest drive hit by Tony Finau in the Shriners Childrens Open was 382 yards, which he hit during the first round on hole number 4 in 2018.

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AWS Machine Learning Blog

MAY 22, 2023

EBS volumes are particularly well-suited for use as the primary storage for file systems, databases, or for any applications that require fine granular updates and access to raw, unformatted, block-level storage. It develops insights by recognizing the entities, key phrases, language, sentiments, and other common elements in a document.

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Pickl AI

DECEMBER 2, 2024

According to a report by Statista, the global data sphere is expected to reach 180 zettabytes by 2025 , a significant increase from 33 zettabytes in 2018. This massive influx of data necessitates robust storage solutions and processing capabilities. What is a Data Lake, And How Does It Differ from a Traditional Database?

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Pickl AI

NOVEMBER 25, 2024

According to a report by Statista, the global data sphere is expected to reach 180 zettabytes by 2025 , a significant increase from 33 zettabytes in 2018. This massive influx of data necessitates robust storage solutions and processing capabilities. What is a Data Lake, And How Does It Differ from a Traditional Database?

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Big Data Big Data Data Lakes Apache Hadoop 52

AWS Machine Learning Blog

OCTOBER 2, 2024

Complete the following steps when integrating a knowledge base with Amazon Bedrock : Index your documents into a vector database using Amazon Bedrock Knowledge Bases. Her work spans speech recognition, natural language processing, and large language models. Andrew Gordon Wilson before joining Amazon in 2018.

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Explosion

MAY 17, 2023

A lot of people are building truly new things with Large Language Models (LLMs), like wild interactive fiction experiences that weren’t possible before. But if you’re working on the same sort of Natural Language Processing (NLP) problems that businesses have been trying to solve for a long time, what’s the best way to use them?

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Google Research AI blog

FEBRUARY 28, 2023

For example, supporting equitable student persistence in computing research through our Computer Science Research Mentorship Program , where Googlers have mentored over one thousand students since 2018 — 86% of whom identify as part of a historically marginalized group. sequence protein database with annotations. MGnify proteins A 2.4B-sequence

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ML Review

MAY 3, 2018

Recent Intersections Between Computer Vision and Natural Language Processing (Part One) This is the first instalment of our latest publication series looking at some of the intersections between Computer Vision (CV) and Natural Language Processing (NLP). Thanks for reading! 40] Chung et al. Amodei et al.

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The MLOps Blog

JULY 18, 2023

For example, in all of those pieces we talked about Kafka, Faust, MongoDB databases. Compute challenges and large language models (LLMs) in production Stephen: Nice. So I think another major challenge we associate with deploying large language models is in terms of the compute power whenever you get into production, right?

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Snorkel AI

MAY 25, 2023

A brief history of large language models Large language models grew out of research and experiments with neural networks to allow computers to process natural language. From 2018 to the modern day, NLP researchers have engaged in a steady march toward ever-larger models.

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Snorkel AI

MAY 25, 2023

A brief history of large language models Large language models grew out of research and experiments with neural networks to allow computers to process natural language. From 2018 to the modern day, NLP researchers have engaged in a steady march toward ever-larger models.

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Explosion

NOVEMBER 21, 2019

from_disk("/path/to/s2v_reddit_2015_md") nlp.add_pipe(s2v) doc = nlp("A sentence about natural language processing.") text == "natural language processing" freq = doc[3:6]._.s2v_freq For more examples and the full API documentation, see the GitHub repo. from sense2vec import Sense2Vec s2v = Sense2Vec().from_disk("/path/to/s2v_reddit_2015_md")

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PyImageSearch

JANUARY 2, 2023

Health startups and tech companies aiming to integrate AI technologies account for a large proportion of AI-specific investments, accounting for up to $2 billion in 2018 ( Figure 1 ). For example, the Institute of Cancer Research cancer database combines genetic and clinical data from patients with information from scientific research.

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AWS Machine Learning Blog

SEPTEMBER 11, 2024

The recent history of PBAs begins in 1999, when NVIDIA released its first product expressly marketed as a GPU, designed to accelerate computer graphics and image processing. In 2018, other forms of PBAs became available, and by 2020, PBAs were being widely used for parallel problems, such as training of NN.

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IBM Journey to AI blog

FEBRUARY 9, 2024

Prior to the current hype cycle, generative machine learning tools like the “Smart Compose” feature rolled out by Google in 2018 weren’t heralded as a paradigm shift, despite being harbingers of today’s text generating services.

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Flipboard

APRIL 16, 2025

Solution overview The AI-powered asset inventory labeling solution aims to streamline the process of updating inventory databases by automatically extracting relevant information from asset labels through computer vision and generative AI capabilities. It invokes the API to process the data.

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AWS Machine Learning Blog

OCTOBER 21, 2024

For instance, the following instruction tells your agent to confirm that a vacation request action should be run before updating the database for the user: You are an HR agent, helping employees … [other instructions removed for brevity] Before creating, editing or deleting a time-off request, ask for user confirmation for your actions.

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