Unite.AI

SEPTEMBER 18, 2024

The field of artificial intelligence is evolving at a breathtaking pace, with large language models (LLMs) leading the charge in natural language processing and understanding. As we navigate this, a new generation of LLMs has emerged, each pushing the boundaries of what's possible in AI. Visit GPT-4o → 3.

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Marktechpost

OCTOBER 28, 2024

It’s a great way to explore AI’s capabilities and see how these technologies can be applied to real-world problems. This platform provides a valuable opportunity to understand the potential of AI in natural language processing.

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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. Subscribe today!] 1.41%) (BRK.B

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Unite.AI

MARCH 24, 2024

This development suggests a future where AI can more closely mimic human-like learning and communication, opening doors to applications that require such dynamic interactivity and adaptability. NLP enables machines to understand, interpret, and respond to human language in a meaningful way.

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Marktechpost

SEPTEMBER 21, 2024

Artificial intelligence (AI) research has increasingly focused on enhancing the efficiency & scalability of deep learning models. These models have revolutionized natural language processing, computer vision, and data analytics but have significant computational challenges.

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AWS Machine Learning Blog

MARCH 21, 2025

Research papers and engineering documents often contain a wealth of information in the form of mathematical formulas, charts, and graphs. Navigating these unstructured documents to find relevant information can be a tedious and time-consuming task, especially when dealing with large volumes of data.

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Flipboard

JULY 24, 2023

There are also various features of Quivr openAI software that make it an important tool for storing unstructured data and information. It also helps in generating information and producing more data with the help of the Natural Language Processing technique.

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AssemblyAI

MARCH 21, 2023

Traditional AI methods have been designed to extract information from objects encoded by somewhat “rigid” structures. What is the current role of GNNs in the broader AI research landscape? Let’s take a look at some numbers revealing how GNNs have seen a spectacular rise within the research community.

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Marktechpost

DECEMBER 13, 2023

The well-known Large Language Models (LLMs) like GPT, BERT, PaLM, and LLaMA have brought in some great advancements in Natural Language Processing (NLP) and Natural Language Generation (NLG). If you like our work, you will love our newsletter.

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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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Marktechpost

OCTOBER 7, 2023

The emergence of Large Language Models (LLMs) in natural language processing represents a groundbreaking development. Typically, they focus on language modeling loss and synthetic tasks, which, while informative, do not comprehensively showcase their effectiveness in diverse, real-world scenarios.

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Marktechpost

SEPTEMBER 21, 2023

In the ever-evolving landscape of Natural Language Processing (NLP) and Artificial Intelligence (AI), Large Language Models (LLMs) have emerged as powerful tools, demonstrating remarkable capabilities in various NLP tasks. Within the field of IT, the importance of NLP and LLM technologies is on the rise.

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Unite.AI

AUGUST 19, 2023

Fortunately, a team of researchers in Africa is striving to bridge this digital divide. Their recent study in the journal Patterns outlines strategies to develop AI tools tailored to African languages. Kathleen Siminyu, an AI researcher at the Masakhane Research Foundation, emphasizes the importance of this endeavor.

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IBM Journey to AI blog

AUGUST 13, 2024

An early hint of today’s natural language processing (NLP), Shoebox could calculate a series of numbers and mathematical commands spoken to it, creating a framework used by the smart speakers and automated customer service agents popular today.

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Marktechpost

DECEMBER 31, 2023

Large Language Models (LLMs), the latest innovation of Artificial Intelligence (AI), use deep learning techniques to produce human-like text and perform various Natural Language Processing (NLP) and Natural Language Generation (NLG) tasks. The post Do Language Models Know When They Are Hallucinating?

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AI Weekly

OCTOBER 26, 2023

cryptopolitan.com Applied use cases Alluxio rolls out new filesystem built for deep learning Alluxio Enterprise AI is aimed at data-intensive deep learning applications such as generative AI, computer vision, natural language processing, large language models and high-performance data analytics. voxeurop.eu

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Unite.AI

MARCH 22, 2024

Since OpenAI unveiled ChatGPT in late 2022, the role of foundational large language models (LLMs) has become increasingly prominent in artificial intelligence (AI), particularly in natural language processing (NLP). It offers a more hands-on and communal way for AI to pick up new skills.

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Marktechpost

JANUARY 2, 2024

Recent advances in the field of Artificial Intelligence (AI) and Natural Language Processing (NLP) have led to the introduction of Large Language Models (LLMs). In recent research, a team of researchers from Kuaishou Inc. In recent research, a team of researchers from Kuaishou Inc.

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AI Weekly

JULY 25, 2024

techcrunch.com Research AI models fed AI-generated data quickly spew nonsense Researchers gave successive versions of a large language model information produced by previous generations of the AI — and observed rapid collapse.

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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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AI Weekly

JULY 13, 2023

In the News Elon Musk unveils new AI company set to rival ChatGPT Elon Musk, who has hinted for months that he wants to build an alternative to the popular ChatGPT artificial intelligence chatbot, announced the formation of what he’s calling xAI, whose goal is to “understand the true nature of the universe.” Powered by pluto.fi

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Marktechpost

NOVEMBER 14, 2023

Medical data extraction, analysis, and interpretation from unstructured clinical literature are included in the emerging discipline of clinical natural language processing (NLP). First, these LLMs frequently have billions of parameters, requiring substantial processing power even during conception.

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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

OCTOBER 13, 2024

Mixture of Experts (MoE) models are becoming critical in advancing AI, particularly in natural language processing. This new approach allowed the upcycled MoE models to better utilize the information contained in the expert layers, leading to improved performance.

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Marktechpost

DECEMBER 29, 2023

The exploration of natural language processing has been revolutionized with the advent of LLMs like GPT. These models showcase exceptional language comprehension and generation abilities but encounter significant hurdles. This system is finely tuned to ensure the relevance and accuracy of the information being sourced.

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AI Weekly

JUNE 13, 2024

Powered by incogni.com In the News Apple stock surges to record high after AI announcements Apple's stock (AAPL) surged 7% on Tuesday to reach a record-high close for the first time in 2024 as investors digested the announcement of its AI platform, Apple Intelligence. How Incogni works incogni.io

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AssemblyAI

SEPTEMBER 4, 2024

  Recent advancements in the AI research behind speech recognition technology have made speech recognition models more accurate and accessible than ever before. This will enable you to move beyond basic transcription and into AI analysis with greater ease.

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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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TheSequence

MARCH 25, 2025

Conceptually, RAG is an architectural framework that enhances the functionality of large language models (LLMs) by incorporating external data retrieval mechanisms. Techniques such as vector-based retrieval and query expansion are commonly used to improve the relevance and accuracy of the retrieved information. Here is a summary: 1.

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AI Weekly

DECEMBER 14, 2023

Powered by superai.com In the News 20 Best AI Chatbots in 2024 Generative AI chatbots are a major step forward in conversational AI. These chatbots are powered by large language models (LLMs) that can generate human-quality text, translate languages, write creative content, and provide informative answers to your questions.

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Unite.AI

JULY 24, 2024

In the consumer technology sector, AI began to gain prominence with features like voice recognition and automated tasks. Over the past decade, advancements in machine learning, Natural Language Processing (NLP), and neural networks have transformed the field.

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Pickl AI

DECEMBER 25, 2024

Summary: The Pile dataset is a massive 800GB open-source text resource created by EleutherAI for training advanced language models. It integrates diverse, high-quality content from 22 sources, enabling robust AI research and development. EleutherAI created the Pile to democratise AI research with high-quality, accessible data.

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Topbots

DECEMBER 5, 2023

Top 10 AI Research Papers 2023 1. Sparks of AGI by Microsoft Summary In this research paper, a team from Microsoft Research analyzes an early version of OpenAI’s GPT-4, which was still under active development at the time. Sign up for more AI research updates. Enjoy this article?

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Marktechpost

MARCH 3, 2025

Encoder models like BERT and RoBERTa have long been cornerstones of natural language processing (NLP), powering tasks such as text classification, retrieval, and toxicity detection. RoPE integrates positional information directly into attention mechanisms, reducing degradation on out-of-distribution lengths.

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Marktechpost

JULY 24, 2023

DialogStudio fills this void by aggregating 33 distinct datasets representing diverse categories such as Knowledge-Grounded Dialogues, Natural-Language Understanding, Open-Domain Dialogues, Task-Oriented Dialogues, Dialogue Summarization, and Conversational Recommendation Dialogs.

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AssemblyAI

MAY 3, 2023

Effective methods allowing for better control, or steerability , of large-scale AI systems are currently in extremely high demand in the world of AI research. This concept is not exclusive to natural language processing, and has also been employed in other domains.

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Marktechpost

AUGUST 5, 2023

Recently introduced Large Language Models (LLMs) have taken the Artificial Intelligence (AI) community by storm. These models have been able to successfully imitate human beings by using super-good Natural Language Processing (NLP), Natural Language Generation (NLG) and Natural Language Understanding (NLU).

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