Hacker News

MARCH 25, 2022

If you want to ride the next big wave in AI, grab a transformer. A transformer model is a neural network that learns context and thus meaning by tracking relationships in sequential data like the words in this sentence. They’re driving a wave of advances in machine learning some have dubbed transformer AI.

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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

This post is co-authored by Anatoly Khomenko, Machine Learning Engineer, and Abdenour Bezzouh, Chief Technology Officer at Talent.com. Founded in 2011, Talent.com is one of the world’s largest sources of employment. It’s designed to significantly speed up deep learning model training. The model is replicated on every GPU.

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AWS Machine Learning Blog

MAY 10, 2023

Project Jupyter is a multi-stakeholder, open-source project that builds applications, open standards, and tools for data science, machine learning (ML), and computational science. Introducing two generative AI extensions for Jupyter Generative AI can significantly boost the productivity of data scientists and developers as they write code.

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Dataconomy

JUNE 15, 2023

From its humble beginnings to the present day, AI has captivated the minds of scientists and sparked endless possibilities. In recent years, AI has become an integral part of our lives. Ever since the 1940s, artificial intelligence (AI) has been a part of our lives.

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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. The three kinds of AI based on capabilities 1.

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Dataconomy

AUGUST 23, 2023

Yes, AI is already more integrated into our lives than we think. The rapid advancement of technology has given rise to one of the most groundbreaking innovations of our time: artificial intelligence (AI). As the technology of the future, AI, brings us step by step closer to a world that we once had difficulty even imagining.

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Pickl AI

JULY 24, 2024

This journey reflects the evolving understanding of intelligence and the transformative impact AI has on various industries and society as a whole. Introduction Artificial Intelligence (AI) has evolved from theoretical concepts to a transformative force in technology and society.

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AWS Machine Learning Blog

DECEMBER 14, 2023

This post is co-authored by Anatoly Khomenko, Machine Learning Engineer, and Abdenour Bezzouh, Chief Technology Officer at Talent.com. Established in 2011, Talent.com aggregates paid job listings from their clients and public job listings, and has created a unified, easily searchable platform.

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Mlearning.ai

JUNE 5, 2023

Many Libraries: Python has many libraries and frameworks (We will be looking some of them below) that provide ready-made solutions for common computer vision tasks, such as image processing, face detection, object recognition, and deep learning. It is a fork of the Python Imaging Library (PIL), which was discontinued in 2011.

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AWS Machine Learning Blog

APRIL 6, 2023

For example, in the 2019 WAPE value, we trained our model using sales data between 2011–2018 and predicted sales values for the next 12 months (2019 sale). We trained three models using data from 2011–2018 and predicted the sales values until 2021. He focuses on machine learning, deep learning and end-to-end ML solutions.

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AWS Machine Learning Blog

OCTOBER 10, 2023

Machine learning (ML), especially deep learning, requires a large amount of data for improving model performance. Federated learning (FL) is a distributed ML approach that trains ML models on distributed datasets. About the Authors Qiong (Jo) Zhang , PhD, is a Senior Partner SA at AWS, specializing in AI/ML.

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ML Review

MAY 3, 2018

This topic, when broached, has historically been a source of contention among linguists, neuroscientists and AI researchers. An experience that weighs learning heavily. While an oversimplification, the generalisability of current deep learning approaches is impressive.

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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). Rachna Chadha is a Principal Solution Architect AI/ML in Strategic Accounts at AWS.

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Heartbeat

OCTOBER 9, 2023

Artificial Intelligence (AI) Integration: AI techniques, including machine learning and deep learning, will be combined with computer vision to improve the protection and understanding of cultural assets. Preservation of cultural heritage and natural history through game-based learning. Ekanayake, B.,

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AWS Machine Learning Blog

APRIL 19, 2023

It’s easy to learn Flink if you have ever worked with a database or SQL-like system by remaining ANSI-SQL 2011 compliant. About the Authors Mark Roy is a Principal Machine Learning Architect for AWS, helping customers design and build AI/ML solutions.

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DataRobot Blog

MAY 26, 2022

When the FRB’s guidance was first introduced in 2011, modelers often employed traditional regression -based models for their business needs. The post Automating Model Risk Compliance: Model Validation appeared first on DataRobot AI Cloud. The Framework for ML Governance. Download now.

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Mlearning.ai

JULY 30, 2023

With most ML use cases moving to deep learning, models’ opacity has increased significantly. Reference Scikit-learn: Machine Learning in Python , Pedregosa et al., 2825–2830, 2011. link] arXiv:1705.07874 [cs.AI] WRITER at MLearning.ai // EEG AI Prediction // Personal AI Art Model Mlearning.ai

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Hacker News

FEBRUARY 14, 2023

” So let’s say we’ve got the text “ The best thing about AI is its ability to ” Imagine scanning billions of pages of human-written text (say on the web and in digitized books) and finding all instances of this text—then seeing what word comes next what fraction of the time.

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Data Science Blog

MARCH 14, 2023

Big Data tauchte als Buzzword meiner Recherche nach erstmals um das Jahr 2011 relevant in den Medien auf. Von Data Science spricht auf Konferenzen heute kaum noch jemand und wurde hype-technisch komplett durch Machine Learning bzw. Artificial Intelligence (AI) ersetzt.

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