AssemblyAI

NOVEMBER 9, 2023

In Natural Language Processing (NLP), Text Summarization models automatically shorten documents, papers, podcasts, videos, and more into their most important soundbites. The models are powered by advanced Deep Learning and Machine Learning research. What is Text Summarization for NLP?

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IBM Journey to AI blog

JULY 6, 2023

While artificial intelligence (AI), machine learning (ML), deep learning and neural networks are related technologies, the terms are often used interchangeably, which frequently leads to confusion about their differences. How do artificial intelligence, machine learning, deep learning and neural networks relate to each other?

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Analytics Vidhya

MAY 29, 2024

Introduction One of the most important tasks in natural language processing is text summarizing, which reduces long texts to brief summaries while maintaining important information. Their cutting-edge skills and contextual knowledge power […] The post How to Summarize Text with Transformer-based Models?

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Marktechpost

APRIL 12, 2024

Deep learning architectures have revolutionized the field of artificial intelligence, offering innovative solutions for complex problems across various domains, including computer vision, natural language processing, speech recognition, and generative models. This state is updated as the network processes each element of the sequence.

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Towards AI

NOVEMBER 19, 2023

This technique is more useful in the field of computer vision and natural language processing (NLP) because of large data that has semantic information. What is the issue of training deep learning models from scratch? It needs a lot of labeled data that takes more time and effort if not available publicly.It

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Deep Learning Natural Language Processing Computer Vision NLP 122

Unite.AI

SEPTEMBER 18, 2023

To prevent these scenarios, protection of data, user assets, and identity information has been a major focus of the blockchain security research community, as to ensure the development of the blockchain technology, it is essential to maintain its security.

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Analytics Vidhya

MAY 20, 2024

Introduction Artificial intelligence has made tremendous strides in Natural Language Processing (NLP) by developing Large Language Models (LLMs). ” Hallucinations occur when an LLM generates plausible-sounding information but […] The post AI’s Biggest Flaw Hallucinations Finally Solved With KnowHalu!

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Large Language Models Natural Language Processing Artificial Intelligence Artificial Intelligence 318

Marek Rei

NOVEMBER 4, 2024

Prompts are changed by introducing spelling errors, replacing synonyms, concatenating irrelevant information or translating from a different language. link] The paper proposes query rewriting as the solution to the problem of LLMs being overly affected by irrelevant information in the prompts. Character-level attacks rank second.

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Marktechpost

MARCH 30, 2024

In 2024, the landscape of Python libraries for machine learning and deep learning continues to evolve, integrating more advanced features and offering more efficient and easier ways to build, train, and deploy models. PyTorch PyTorch is a widely used open-source machine learning library based on the Torch library.

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Deep Learning Machine Learning Python Computer Vision 123

Unite.AI

APRIL 6, 2025

Wendys AI-Powered Drive-Thru System (FreshAI) FreshAI uses advanced natural language processing (NLP) , machine learning (ML) , and generative AI to optimize the fast-food ordering experience. Unlike conventional voice recognition systems, FreshAI employs deep learning models trained on thousands of real-world customer interactions.

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Marktechpost

OCTOBER 25, 2024

Natural Language Processing (NLP) is a rapidly growing field that deals with the interaction between computers and human language. As NLP continues to advance, there is a growing need for skilled professionals to develop innovative solutions for various applications, such as chatbots, sentiment analysis, and machine translation.

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AI Weekly

AUGUST 10, 2023

siliconangle.com Sponsor Make Smarter Business Decisions with The Information Looking for a competitive edge in the world of business? The Information offers access to exclusive insights from the industry's top journalists. For a limited time, subscribe and save 25% on your first year. Subscribe today!] 1.41%) (BRK.B 1.41%) (BRK.B

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The MLOps Blog

NOVEMBER 14, 2023

Deep learning models are typically highly complex. While many traditional machine learning models make do with just a couple of hundreds of parameters, deep learning models have millions or billions of parameters. The reasons for this range from wrongly connected model components to misconfigured optimizers.

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Unite.AI

MAY 29, 2024

With nine times the speed of the Nvidia A100, these GPUs excel in handling deep learning workloads. This advancement has spurred the commercial use of generative AI in natural language processing (NLP) and computer vision, enabling automated and intelligent data extraction. It's faster and offers a higher ROI than other methods.

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Unite.AI

JANUARY 18, 2025

This parallelism is critical for deep learning tasks, where training and inference involve large batches of data. Just as billions of neurons and synapses process information in parallel, an NPU is composed of numerous processing elements capable of simultaneously handling large datasets.

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Marktechpost

FEBRUARY 1, 2025

pip install torch PyPDF2 extracts text from PDF files, making it useful for handling document-based information. Sentence-transformers generate text embeddings, which helps in storing and retrieving information meaningfully. nltk (Natural Language Toolkit) is a well-known NLP library for text preprocessing, tokenization, and analysis.

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Towards AI

JULY 20, 2023

Jerome in his Study | Durer NATURAL LANGUAGE PROCESSING (NLP) WEEKLY NEWSLETTER The NLP Cypher | 03.14.21 Let’s talk about “Cryptonite: How I Stopped Worrying and Learned(?) LineFlow was designed to use in all deep learning… github.com Repo Cypher ?‍? Because it requires models to have n-order logic.

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Aiiot Talk

MAY 6, 2023

AI comprises numerous technologies like deep learning, machine learning, natural language processing, and computer vision. With the help of these technologies, AI is now capable of learning, reasoning, and processing complex data. Deep learning algorithms have brought a massive improvement in medical imaging diagnosis.

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PyImageSearch

JANUARY 30, 2023

This last blog of the series will cover the benefits, applications, challenges, and tradeoffs of using deep learning in the education sector. To learn about Computer Vision and Deep Learning for Education, just keep reading. Figure 2 ). Task Automation AI software can easily handle repetitive, manual tasks (e.g.,

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Computer Vision Deep Learning Neural Network Artificial Intelligence 101

IBM Journey to AI blog

FEBRUARY 23, 2024

Beyond the simplistic chat bubble of conversational AI lies a complex blend of technologies, with natural language processing (NLP) taking center stage. NLP translates the user’s words into machine actions, enabling machines to understand and respond to customer inquiries accurately. What makes a good AI conversationalist?

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ODSC - Open Data Science

APRIL 28, 2023

Be sure to check out his talk, “ Bagging to BERT — A Tour of Applied NLP ,” there! If a Natural Language Processing (NLP) system does not have that context, we’d expect it not to get the joke. Each has a single representation for the word “well”, which combines the information for “doing well” with “wishing well”.

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Unite.AI

OCTOBER 12, 2023

research scientist with over 16 years of professional experience in the fields of speech/audio processing and machine learning in the context of Automatic Speech Recognition (ASR), with a particular focus and hands-on experience in recent years on deep learning techniques for streaming end-to-end speech recognition.

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AI Weekly

APRIL 11, 2024

And this is particularly true for accounts payable (AP) programs, where AI, coupled with advancements in deep learning, computer vision and natural language processing (NLP), is helping drive increased efficiency, accuracy and cost savings for businesses. Generative AI is igniting a new era of innovation within the back office.

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Towards AI

JULY 21, 2023

Photo by Kunal Shinde on Unsplash NATURAL LANGUAGE PROCESSING (NLP) WEEKLY NEWSLETTER NLP News Cypher | 08.09.20 What is the state of NLP? Deep learning and semantic parsing, do we still care about information extraction? For an overview of some tasks, see NLP Progress or our XTREME benchmark.

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AWS Machine Learning Blog

NOVEMBER 29, 2023

In today’s rapidly evolving landscape of artificial intelligence, deep learning models have found themselves at the forefront of innovation, with applications spanning computer vision (CV), natural language processing (NLP), and recommendation systems.

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IBM Journey to AI blog

MARCH 27, 2024

Converting this financial data into GHG emissions inventory requires information on the GHG emissions impact of the product or service purchased. In recent years, remarkable strides have been achieved in crafting extensive foundation language models for natural language processing (NLP).

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Towards AI

JULY 20, 2023

The Lookout — “All’s Well” | Homer NATURAL LANGUAGE PROCESSING (NLP) WEEKLY NEWSLETTER The NLP Cypher | 03.07.21 The wild concept uses neural net theory to unify quantum and… www.popularmechanics.com FYI, we added 25 new notebooks to the Super Duper NLP Repo!! ? For NLP focused content, start on page 62.

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Unite.AI

AUGUST 28, 2023

With advancements in deep learning, natural language processing (NLP), and AI, we are in a time period where AI agents could form a significant portion of the global workforce. Neural Networks & Deep Learning : Neural networks marked a turning point, mimicking human brain functions and evolving through experience.

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Unite.AI

JUNE 28, 2023

It uses sophisticated Natural Language Processing (NLP) technology to transform a user's descriptive language into a 3D model. Features of Masterpiece Studio: AI-powered text-to-3D generation User-friendly interface Natural Language Processing (NLP) technology Generates fully functional 3D models and animations 3.

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Towards AI

DECEMBER 26, 2024

Louis-Franois Bouchard, Towards AI Co-founder & Head of Community Learn AI Together Community section! But, all the rules of learning that apply to AI, machine learning, and NLP dont always apply to LLMs, especially if you are building something or looking for a high-paying job. AI poll of the week! Shubhamgaur.

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Unite.AI

SEPTEMBER 25, 2023

However, as technology advanced, so did the complexity and capabilities of AI music generators, paving the way for deep learning and Natural Language Processing (NLP) to play pivotal roles in this tech. Today platforms like Spotify are leveraging AI to fine-tune their users' listening experiences.

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The MLOps Blog

MARCH 23, 2023

NLP models in commercial applications such as text generation systems have experienced great interest among the user. These models have achieved various groundbreaking results in many NLP tasks like question-answering, summarization, language translation, classification, paraphrasing, et cetera.

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Towards AI

JULY 21, 2023

The Ninth Wave (1850) Ivan Aivazovsky NATURAL LANGUAGE PROCESSING (NLP) WEEKLY NEWSLETTER NLP News Cypher | 09.13.20 Wild to see how much progress that’s been made in the field of NLP in the last couple of years. ? Yes, we have access to more information than ever before, but too often, hate and… su-sea.github.io

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Marktechpost

FEBRUARY 27, 2024

Researchers from AIRI Moscow, Neural Networks and Deep Learning Lab MIPT, and London Institute for Mathematical Sciences introduce BABILong, a pioneering benchmark meticulously crafted to evaluate NLP models’ prowess in dissecting long documents. Check out the Paper.

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Mlearning.ai

APRIL 8, 2023

Charting the evolution of SOTA (State-of-the-art) techniques in NLP (Natural Language Processing) over the years, highlighting the key algorithms, influential figures, and groundbreaking papers that have shaped the field. Evolution of NLP Models To understand the full impact of the above evolutionary process.

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Unite.AI

OCTOBER 3, 2024

Using deep learning algorithms, neural machine translation considers whole sentences simultaneously. It uses deep learning models to analyze and translate metaphors, ensuring they maintain the original's emotional and artistic integrity. Quality control is a critical activity of the process.

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Towards AI

JULY 20, 2023

It’s also an area that stands to benefit most from automated or semi-automated machine learning (ML) and natural language processing (NLP) techniques. Semi) automated data extraction for SLRs through NLP Researchers can deploy a variety of ML and NLP techniques to help mitigate these challenges. This study by Bui et al.

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