IBM Journey to AI blog

OCTOBER 12, 2023

Early iterations of the AI applications we interact with most today were built on traditional machine learning models. These models rely on learning algorithms that are developed and maintained by data scientists. For example, Apple made Siri a feature of its iOS in 2011. IBM watsonx.ai Explore watsonx.ai

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Dataconomy

JUNE 15, 2023

This breakthrough enabled faster and more powerful computations, propelling AI research forward One notable public achievement during this time was IBM’s AI system, Watson, defeating two champions on the game show Jeopardy in 2011. This demonstrated the astounding potential of machines to learn and differentiate between various objects.

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Hacker News

NOVEMBER 15, 2023

That’s when researchers in information retrieval prototyped what they called question-answering systems, apps that use natural language processing ( NLP ) to access text, initially in narrow topics such as baseball. IBM’s Watson became a TV celebrity in 2011 when it handily beat two human champions on the Jeopardy!

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Hacker News

MARCH 25, 2022

They’re driving a wave of advances in machine learning some have dubbed transformer AI. Attention Net didn’t sound very exciting,” said Vaswani, who started working with neural nets in 2011.Jakob A Moment for Machine Learning. I could see this would likely be an important moment in machine learning,” he said.

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AWS Machine Learning Blog

MAY 2, 2023

JumpStart is a machine learning (ML) hub that can help you accelerate your ML journey. JumpStart provides many pre-trained language models called foundation models that can help you perform tasks such as article summarization, question answering, and conversation generation and image generation.

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Explosion

FEBRUARY 12, 2017

In this post, I’ll explain how to solve text-pair tasks with deep learning, using both new and established tips and technologies. The Quora dataset is an example of an important type of Natural Language Processing problem: text-pair classification. In updated experiments the Maxout Window Encoding helps as expected.

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Flipboard

APRIL 8, 2023

Large language models don’t come cheap While the power of large language models, like ChatGPT , has increased dramatically, the price of training such models has increased dramatically as well. And of all machine learning systems, language models are sucking up the most computing resources. A group of U.S.

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Explosion

MARCH 17, 2019

of the spaCy Natural Language Processing library includes a huge number of features, improvements and bug fixes. spaCy is an open-source library for industrial-strength natural language processing in Python. Version 2.1 Prodigy is a fully scriptable annotation tool that complements spaCy extremely well.

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AWS Machine Learning Blog

NOVEMBER 11, 2024

Solution overview SageMaker JumpStart is a robust feature within the SageMaker machine learning (ML) environment, offering practitioners a comprehensive hub of publicly available and proprietary foundation models (FMs). This fine-tuning process involves providing the model with a dataset specific to the target domain.

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AWS Machine Learning Blog

JULY 20, 2023

As AI has evolved, we have seen different types of machine learning (ML) models emerge. She helps enterprise customers to build solutions leveraging the state-of-the-art AI/ML tools on AWS and provides guidance on architecting and implementing machine learning solutions with best practices. References [1] Raj Kumar, P.

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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). Decoding visemes: Improving machine lip-reading.

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Alation

FEBRUARY 20, 2020

While this requires technology – AI, machine learning, log parsing, natural language processing,metadata management, this technology must be surfaced in a form accessible to business users – the data catalog. The Forrester Wave : Machine Learning Data Catalogs, Q2 2018.

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