Hacker News

JULY 19, 2025

33 ] The usefulness of SignWriting in natural language processing was validated with a new method of machine translation that has achieved over 30 BLEU. [ 34 ] [ 35 ] The conversion of sign language video to SignWriting text is an emerging field with open source options. [ Retrieved 1 April 2013. ^ Signbank.org.

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Flipboard

FEBRUARY 1, 2023

He previously founded and ran business-intelligence consulting company Extended Results, which was acquired by Tibco Software in 2013. He makes software through his Creative Data Studios one-person development shop. Microsoft CEO Satya Nadella said recently that every Microsoft product will eventually have AI capabilities.

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Natural Language Processing Azure Business Intelligence Business Intelligence 177

Towards AI

JUNE 12, 2024

Photo by david clarke on Unsplash The most recent breakthroughs in language models have been the use of neural network architectures to represent text. There is very little contention that large language models have evolved very rapidly since 2018. RNNs and LSTMs came later in 2014. The story starts with word embedding.

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Data Science Dojo

FEBRUARY 8, 2024

In the ever-evolving landscape of natural language processing (NLP), embedding techniques have played a pivotal role in enhancing the capabilities of language models. Each word was treated as an isolated unit, without understanding its relationship with other words or its usage in different contexts.

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AWS Machine Learning Blog

JUNE 13, 2023

Solution overview A modern data architecture on AWS applies artificial intelligence and natural language processing to query multiple analytics databases. Finance and Investments Snowflake Which stock performed the best and the worst in May of 2013?

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Database SQL AWS AI 101

Towards AI

APRIL 12, 2023

All of these companies were founded between 2013–2016 in various parts of the world. Soon to be followed by large general language models like BERT (Bidirectional Encoder Representations from Transformers).

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Dataconomy

FEBRUARY 6, 2024

Besides, natural language processing (NLP) allows users to gain data insight in a conversational manner, such as through ChatGPT, making data even more accessible. They have a platform called Generative AI Operating System (GenOS) that uses large language models to handle tasks like taxes, accounting, and managing cash flow.

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Towards AI

APRIL 8, 2024

While numerous techniques have been explored, methods harnessing natural language processing (NLP) have demonstrated strong performance. Understanding Word2Vec Word2Vec is a pioneering natural language processing (NLP) technique that revolutionized the way we represent words in vector space.

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AWS Machine Learning Blog

JANUARY 4, 2024

One such area that is evolving is using natural language processing (NLP) to unlock new opportunities for accessing data through intuitive SQL queries. Instead of dealing with complex technical code, business users and data analysts can ask questions related to data and insights in plain language.

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Dataconomy

JUNE 8, 2023

Their applications range from utilizing video, audio, and behavioral data to better understand the connection between patients, disease, and treatment, to improving diagnostics for lung cancer, providing voice-powered care assistance, and creating accessible and affordable health systems through natural language processing (NLP) and AI.

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Mlearning.ai

APRIL 1, 2023

NLP A Comprehensive Guide to Word2Vec, Doc2Vec, and Top2Vec for Natural Language Processing In recent years, the field of natural language processing (NLP) has seen tremendous growth, and one of the most significant developments has been the advent of word embedding techniques.

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Dataconomy

MAY 2, 2023

Hinton joined Google in 2013 as part of its acquisition of DNNresearch, a startup he co-founded with two of his former students, Ilya Sutskever and Alex Krizhevsky. He is credited with developing some of the key algorithms and concepts that underpin deep learning, such as capsule networks.

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ODSC - Open Data Science

FEBRUARY 29, 2024

The Stanford AI Lab Founded in 1963, the Stanford AI Lab has made significant contributions to various domains, including natural language processing, computer vision, and robotics. Recently, they unveiled new mind-body neural control prostheses. Another project, SynthID , helps to identify and watermark AI-generated images.

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AWS Machine Learning Blog

NOVEMBER 22, 2023

AIM333 (LVL 300) | Explore text-generation FMs for top use cases with Amazon Bedrock Tuesday November 28| 2:00 PM – 3:00 PM (PST) Foundation models can be used for natural language processing tasks such as summarization, text generation, classification, open-ended Q&A, and information extraction.

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AWS Machine Learning Blog

FEBRUARY 2, 2024

Embeddings capture the information content in bodies of text, allowing natural language processing (NLP) models to work with language in a numeric form. In entered the Big Data space in 2013 and continues to explore that area. He also holds an MBA from Colorado State University.

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ML Review

FEBRUARY 26, 2018

Following its successful adoption in computer vision and voice recognition, DL will continue to be applied in the domain of natural language processing (NLP). ACM, 2013: 2333–2338. [2] 2] Minghui Qiu and Feng-Lin Li. MeChat: A Sequence to Sequence and Rerank based Chatbot Engine.

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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). Available: [link] (last update, 18/03/2013).

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Mlearning.ai

MARCH 9, 2023

2013; Goodfellow et al., Generative adversarial networks-based adversarial training for natural language processing. Adversarial attacks have been shown to be effective in evading state-of-the-art machine learning models, including those used for image classification and segmentation (Szegedy et al., Szegedy, C.,

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Explosion

DECEMBER 17, 2013

I wrote this blog post in 2013, describing an exciting advance in natural language understanding technology. Natural languages introduce many unexpected ambiguities, which our world-knowledge immediately filters out. The derivation for the transition system we’re using, Arc Hybrid, is in Goldberg and Nivre (2013).

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ML Review

JUNE 4, 2018

Recent Intersections Between Computer Vision and Natural Language Processing (Part Two) This is the second instalment of our latest publication series looking at some of the intersections between Computer Vision (CV) and Natural Language Processing (NLP). In: Daniilidis K., Paragios N. 12, December.

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Hacker News

APRIL 18, 2024

If you’ve ever used Siri, Google Assistant, Alexa, Google Translate, or even smartphone keyboard with next-word prediction, then chances are you’ve benefitted from this idea that has become central to Natural Language Processing models. Word2vec is a method to efficiently create word embeddings and has been around since 2013.

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DrivenData Labs

DECEMBER 7, 2023

His main research interests revolve around applications of Network Analysis and Natural Language Processing methods. His proficiency extends to utilizing Large Language Models toolkits such as HuggingFace, LangChain, OpenAI and LlamaIndex, showcasing his ability to leverage cutting-edge natural language processing capabilities.

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