Unite.AI

MAY 10, 2024

AI-powered research paper summarizers have emerged as powerful tools, leveraging advanced algorithms to condense lengthy documents into concise and readable summaries. In this article, we will explore the top AI research paper summarizers, each designed to streamline the process of understanding and synthesizing academic literature: 1.

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Unite.AI

DECEMBER 20, 2023

In particular, the instances of irreproducible findings, such as in a review of 62 studies diagnosing COVID-19 with AI , emphasize the necessity to reevaluate practices and highlight the significance of transparency. Multiple factors contribute to the reproducibility crisis in AI research.

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Marktechpost

DECEMBER 30, 2023

Natural Language Processing (NLP) is useful in many fields, bringing about transformative communication, information processing, and decision-making changes. The post Can AI Really Understand Sarcasm? This Paper from NYU Explores Advanced Models in Natural Language Processing appeared first on MarkTechPost.

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Marktechpost

MARCH 3, 2024

By reimagining the architecture of these models and integrating innovative techniques for efficient parameter use, the research team has achieved remarkable performance gains and broadened the horizon for the deployment of LLMs. Don’t Forget to join our Telegram Channel You may also like our FREE AI Courses….

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Marktechpost

MARCH 3, 2024

Central to Natural Language Processing (NLP) advancements are large language models (LLMs), which have set new benchmarks for what machines can achieve in understanding and generating human language. Don’t Forget to join our Telegram Channel You may also like our FREE AI Courses….

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AI Weekly

JULY 27, 2023

techcrunch.com The Essential Artificial Intelligence Glossary for Marketers (90+ Terms) BERT - Bidirectional Encoder Representations from Transformers (BERT) is Google’s deep learning model designed explicitly for natural language processing tasks like answering questions, analyzing sentiment, and translation.

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Marktechpost

MARCH 4, 2024

Efficiency of Large Language Models (LLMs) is a focal point for researchers in AI. A groundbreaking study by Qualcomm AI Research introduces a method known as GPTVQ, which leverages vector quantization (VQ) to enhance the size-accuracy trade-off in neural network quantization significantly.

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Analytics Vidhya

FEBRUARY 16, 2024

Introduction In Natural Language Processing (NLP), developing Large Language Models (LLMs) has proven to be a transformative and revolutionary endeavor. These models, equipped with massive parameters and trained on extensive datasets, have demonstrated unprecedented proficiency across many NLP tasks.

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IBM Journey to AI blog

AUGUST 13, 2024

One IBM researcher of note, Arthur Samuel, called this process “machine learning,” a term he coined that remains central to AI today. Just a decade later, IBM made another major contribution to the field of AI with the introduction of a “Shoebox” at the 1962 World’s Fair.

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Marktechpost

OCTOBER 15, 2024

Large language models (LLMs) have become crucial in natural language processing, particularly for solving complex reasoning tasks. However, while LLMs can process and generate responses based on vast amounts of data, improving their reasoning capabilities is an ongoing challenge.

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AI Weekly

JULY 13, 2023

theguardian.com Sarah Silverman sues OpenAI and Meta claiming AI training infringed copyright The US comedian and author Sarah Silverman is suing the ChatGPT developer OpenAI and Mark Zuckerberg’s Meta for copyright infringement over claims that their artificial intelligence models were trained on her work without permission. AlphaGO was.

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Marktechpost

OCTOBER 18, 2023

The recent results of machine learning in drug discovery have been largely attributed to graph and geometric deep learning models. Like other deep learning techniques, they need a lot of training data to provide excellent modeling accuracy. Join our AI Channel on Whatsapp. We are also on WhatsApp.

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Marktechpost

DECEMBER 27, 2023

Artificial intelligence’s ascent of large language models (LLMs) has redefined natural language processing. Quantization, the process of reducing model weights and activations to lower bit precision, is crucial for deploying models on resource-constrained devices.

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AI Weekly

JANUARY 18, 2024

We need a careful balance of policies to tap its potential imf.org AI Ethics in the Spotlight: Examining Public Concerns in 2024 In the early days of January 2024, there were discussions surrounding Midjourney, a prominent player in the AI image-generation field.

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Marktechpost

MARCH 18, 2024

In a new AI research paper , Google researchers introduced a pre-trained scorer model, Cappy , to enhance and surpass the performance of large multi-task language models. The paper aims to resolve challenges faced in the large language models (LLMs). If you like our work, you will love our newsletter.

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Marktechpost

DECEMBER 9, 2023

These findings highlight the potential for continued advancements in natural language processing and its application to problem-solving. Future research directions include evaluating the MCMC-EM fine-tuning technique on diverse tasks and datasets to assess its generalizability.

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AssemblyAI

MARCH 21, 2023

What are the actual advantages of Graph Machine Learning? This article will recap on some highly impactful applications of GNNs, the first article in a series that will take a deep dive into Graph Machine Learning, giving you everything you need to know to get up to speed on the next big wave in AI.

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Marktechpost

DECEMBER 23, 2023

DNNs have gained immense prominence in various fields, including computer vision, natural language processing, and pattern recognition, due to their ability to handle large volumes of data and extract high-level features, leading to remarkable advancements in machine learning and AI applications.

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AI Weekly

AUGUST 10, 2023

Powered by clkmg.com In the News Deepset nabs $30M to speed up natural language processing projects Deepset GmbH today announced that it has raised $30 million to enhance its open-source Haystack framework, which helps developers build natural language processing applications. 1.41%) (BRK.B

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AI News

JUNE 30, 2023

“We are eager to build dynamic teams in Research, Engineering, and Go-to-Market functions, as well as other areas, to reinforce our efforts in creating and promoting safe AGI.” ” OpenAI has been at the forefront of AI research, creating breakthroughs in natural language processing, reinforcement learning, and other areas.

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Marktechpost

DECEMBER 12, 2023

Large Language Models (LLMs) like ChatGPT have revolutionized natural language processing, showcasing their prowess in various language-related tasks. However, these models grapple with a critical issue – the auto-regressive decoding process, wherein each token requires a full forward pass.

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AI Weekly

SEPTEMBER 7, 2023

As expected, the AI’s responses were on point, sympathetic, and felt so utterly human. singularityhub.com What You Should Know About AI Customer Service Tools Streamlining data capture to focus on relevant, premium data will support improved AI customer service tools functionality and precision-led machine learning.

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Marktechpost

DECEMBER 23, 2023

Generative Large Language Models (LLMs) are well known for their remarkable performance in a variety of tasks, including complex Natural Language Processing (NLP), creative writing, question answering, and code generation. If you like our work, you will love our newsletter.

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Marktechpost

DECEMBER 24, 2023

Self-attention greatly enhances the performance of transformers in real-world applications, including computer vision and Natural Language Processing (NLP). In a recent study , researchers have provided a mathematical model that can be used to perceive Transformers as particle systems in interaction.

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Marktechpost

JUNE 14, 2024

This article lists the top AI courses by Stanford that provide essential training in machine learning, deep learning, natural language processing, and other key AI technologies, making them invaluable for anyone looking to excel in the field.

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Marktechpost

JANUARY 2, 2024

Transformer-based LLMs have significantly advanced machine learning capabilities, showcasing remarkable proficiency in domains like natural language processing, computer vision, and reinforcement learning. All credit for this research goes to the researchers of this project.

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Unite.AI

JULY 24, 2024

This is not the distant future; this is now with Apple's groundbreaking AI. Apple has been among the leaders in integrating Artificial Intelligence (AI) into its devices, from Siri to the latest advancements in machine learning and on-device processing. Notable acquisitions include companies like Xnor.a

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AI Weekly

DECEMBER 14, 2023

businessinsider.com Research 10 GitHub Repositories to Master Machine Learning It covers a wide range of topics such as Quora, blogs, interviews, Kaggle competitions, cheat sheets, deep learning frameworks, natural language processing, computer vision, various machine learning algorithms, and ensembling techniques.

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Marktechpost

DECEMBER 19, 2024

The rise of large language models (LLMs) has transformed natural language processing, but training these models comes with significant challenges. All credit for this research goes to the researchers of this project. Trending: LG AI Research Releases EXAONE 3.5: For instance, Llama-3.1-405B

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Marktechpost

JUNE 4, 2024

This is a major barrier to the broader use of Machine Learning techniques in many domains. An emerging area of study called Explainable AI (XAI) has arisen to shed light on how DNNs make decisions in a way that humans can comprehend. These future applications of CoSy hold great promise for the advancement of AI research.

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AI Weekly

APRIL 11, 2024

No legacy process is safe. 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.

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Marktechpost

SEPTEMBER 29, 2023

In recent years, large language models (LLMs) have revolutionized the field of natural language processing, enabling unprecedented zero-shot and few-shot learning capabilities. Check out the Paper and Google AI Article. All Credit For This Research Goes To the Researchers on This Project.

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Pickl AI

DECEMBER 26, 2024

Summary: Amazon’s Ultracluster is a transformative AI supercomputer, driving advancements in Machine Learning, NLP, and robotics. Its high-performance architecture accelerates AI research, benefiting healthcare, finance, and entertainment industries.

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Unite.AI

APRIL 4, 2024

Time series forecasting plays a vital role in crucial decision-making processes across various industries such as retail, finance, manufacturing, and healthcare. It is a critical method in statistics and machine learning that helps in making informed decisions based on past patterns.

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Flipboard

JUNE 10, 2023

When it comes to natural language processing (NLP) tasks, large language models (LLM) trained on massive online datasets perform exceptionally well. …

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Topbots

JUNE 22, 2023

ChatGPT is a GPT ( G enerative P re-trained T ransformer) machine learning (ML) tool that has surprised the world. Its breathtaking capabilities impress casual users, professionals, researchers, and even its own creators. I am a researcher, and its ability to do sentiment analysis (SA) interests me. arXiv, 2022.

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Marktechpost

SEPTEMBER 14, 2023

In the ever-evolving field of Natural Language Processing (NLP), the development of machine translation and language models has been primarily driven by the availability of vast training datasets in languages like English. The post Google AI Researchers Introduce MADLAD-400: A 2.8T

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