Marktechpost

DECEMBER 5, 2023

The Hierarchically Gated Recurrent Neural Network (HGRN) technique developed by researchers from the Shanghai Artificial Intelligence Laboratory and MIT CSAI addresses the challenge of enhancing sequence modeling by incorporating forget gates in linear RNNs. If you like our work, you will love our newsletter.

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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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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.

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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.

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Probably Approximately a Scientific Blog

JANUARY 12, 2021

Figure 1: adversarial examples in computer vision (left) and natural language processing tasks (right). Yet, endowing machines with such human-like commonsense reasoning capabilities has remained an elusive goal of AI research for decades. Is commonsense knowledge already captured by pre-trained language models?

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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.

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Unite.AI

FEBRUARY 16, 2024

AGI, on the other hand, would have the ability to understand and reason across multiple domains, such as language, logic, creativity, common sense, and emotion. It has been the guiding vision of AI research since the earliest days and remains its most divisive idea. AGI is not a new concept.

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Pickl AI

APRIL 19, 2024

Continuous learning is critical to becoming an AI expert, so stay updated with online courses, research papers, and workshops. Specialise in domains like machine learning or natural language processing to deepen expertise. With dedication and perseverance, anyone can master AI and unlock its boundless potential.

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AssemblyAI

MARCH 21, 2023

While AI systems like ChatGPT or Diffusion models for Generative AI have been in the limelight in the past months, Graph Neural Networks (GNN) have been rapidly advancing. And why do Graph Neural Networks matter in 2023? What is the current role of GNNs in the broader AI research landscape?

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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

NOVEMBER 12, 2023

In deep learning, Transformer neural networks have garnered significant attention for their effectiveness in various domains, especially in natural language processing and emerging applications like computer vision, robotics, and autonomous driving. If you like our work, you will love our newsletter.

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Marktechpost

SEPTEMBER 1, 2023

LLMs have become increasingly popular in the NLP (natural language processing) community in recent years. Scaling neural network-based machine learning models has led to recent advances, resulting in models that can generate natural language nearly indistinguishable from that produced by humans.

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Towards AI

MARCH 20, 2023

How does generative AI differ from other types of AI? What are the most popular generative AI models? What is the history and evolution of generative AI? How do neural networks contribute to generative AI? What are the primary applications of generative AI? Neural networks […]

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AI Weekly

DECEMBER 14, 2023

time.com Technologies like artificial intelligence are changing our understanding of war AI has affected how people understand the world, the jobs available in the workforce and judgments of who merits employment or threatens society. Many of the services only work on women. cnet.com The limitations of being human got you down?

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Marktechpost

JANUARY 18, 2024

For the applications mentioned above, multiple GPUs in a cluster provide the much-needed accelerated computational power for tasks like image and video processing or training large-parameter neural networks. GPU Clusters are based on the principle of parallel processing and efficient data handling.

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Marktechpost

NOVEMBER 10, 2023

In image recognition, researchers and developers constantly seek innovative approaches to enhance the accuracy and efficiency of computer vision systems. All credit for this research goes to the researchers of this project. If you like our work, you will love our newsletter. We are also on Telegram and WhatsApp.

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Unite.AI

FEBRUARY 7, 2024

But more than MLOps is needed for a new type of ML model called Large Language Models (LLMs). LLMs are deep neural networks that can generate natural language texts for various purposes, such as answering questions, summarizing documents, or writing code.

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Marktechpost

JUNE 29, 2023

Built on Natural Language Processing and Natural Language Understanding, it answers questions, generates unique and creative content, summarizes lengthy texts, completes codes and emails, and so on. All Credit For This Research Goes To the Researchers on This Project.

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Marktechpost

JULY 27, 2023

Developed by OpenAI, this chatbot does everything from answering questions precisely, summarizing long paragraphs of textual data, completing code snippets, translating the text into different languages, and so on. All Credit For This Research Goes To the Researchers on This Project.

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Marktechpost

OCTOBER 10, 2023

Mistral AI’s latest LLM is one of the largest and most potent examples of this model type, boasting 7 billion parameters. is a transformer model, a type of neural network especially useful for NLP applications. All Credit For This Research Goes To the Researchers on This Project. Mistral-7B-v0.1

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Marktechpost

JULY 11, 2023

Artificial neural networks are the key component here which are inspired by the structure and functioning of the human brain. This knowledge gap raises a fundamental question: to what extent can MLPs hold on with modern neural network architectures if we were to train them in modern settings ? Let’s take a look.

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NVIDIA

OCTOBER 6, 2023

The RECAST model architecture builds on developments in neural temporal point processes, which are probabilistic generative models for continuous time event sequences. In a nutshell, the model has an encoder-decoder neural network architecture used for predicting the timing of a next event based on a history of past events.

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Marktechpost

JUNE 16, 2023

.” This issue is even regarded as AI-complete. However, ongoing improvements and recent machine learning (ML) discoveries create a wide range of new applications and present fresh chances for natural language processing (NLP). Humor is frequently subliminal and driven by minute nuances.

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Allen AI

FEBRUARY 1, 2024

Evaluation: We’ve released the evaluation suite used in development, complete with 500+ checkpoints per model, from every 1000 steps during the training process and evaluation code under the umbrella of the Catwalk project.

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Marktechpost

JULY 3, 2023

With the release of the latest chatbot developed by OpenAI called ChatGPT, the field of AI has taken over the world as ChatGPT, due to its GPT’s transformer architecture, is always in the headlines. Almost every industry is utilizing the potential of AI and revolutionizing itself.

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Marktechpost

AUGUST 11, 2023

Many researchers are still working on the role of Human chatbots and the application of machine-learning techniques in developing these chatbot models. This comes under a broad category of Natural Language Processing as well as Computer Vision. The second approach that researchers used is called Layer Stacking.

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Marktechpost

JULY 4, 2023

Natural language processing (NLP) activities, including speech-to-text, sentiment analysis, text summarization, spell-checking, token categorization, etc., rely on Language Models as their foundation. Unigrams, N-grams, exponential, and neural networks are valid forms for the Language Model.

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Topbots

OCTOBER 4, 2023

The basic difference is that predictive AI outputs predictions and forecasts, while generative AI outputs new content. Here are a few examples across various domains: Natural Language Processing (NLP) : Predictive NLP models can categorize text into predefined classes (e.g., Sign up for more AI research updates.

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Towards AI

FEBRUARY 14, 2023

Generative AI involves the use of neural networks to create new content such as images, videos, or text. Cohere, a startup that specializes in natural language processing, has developed a reputation for creating sophisticated applications that can generate natural language with great accuracy.

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Topbots

APRIL 11, 2023

In the rapidly evolving field of artificial intelligence, natural language processing has become a focal point for researchers and developers alike. The Most Important Large Language Models (LLMs) in 2023 1. How is the problem approached? Code implementation of GPT-4 is not available.

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ML Review

MARCH 5, 2019

Part 1: A bird’s eye view of AI research Part 2: Distilling by Embedding What is this and why did you do it? Welcome to our first instalment of the AI Distillery Project , where our MTank team, frustrated by the volume of AI research globally, attempt to hack a solution to our pile of unread papers that mount daily.

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IBM Journey to AI blog

APRIL 18, 2024

While these large language model (LLM) technologies might seem like it sometimes, it’s important to understand that they are not the thinking machines promised by science fiction. Achieving these feats is accomplished through a combination of sophisticated algorithms, natural language processing (NLP) and computer science principles.

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Marktechpost

JULY 22, 2023

Large Language Models (LLMs) have received a lot of appreciation globally and have gained immense popularity in the field of Natural Language Processing and Natural Language Understanding. Famous models like GPT-3, T5, PaLM, etc.,

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Pickl AI

JULY 14, 2023

Significantly, McCarthy coined the term “Artificial Intelligence” and organized the Dartmouth Conference in 1956, which is considered the birth of AI as a field. Knowledge-Based Systems and Expert Systems (1960s-1970s): During this period, AI researchers focused on developing rule-based systems and expert systems.

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NVIDIA

NOVEMBER 15, 2023

Retrieval-augmented generation is a technique for enhancing the accuracy and reliability of generative AI models with facts fetched from external sources. Under the hood, LLMs are neural networks, typically measured by how many parameters they contain. In other words, it fills a gap in how LLMs work.

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Viso.ai

DECEMBER 22, 2023

The Segment Anything Model (SAM), a recent innovation by Meta’s FAIR (Fundamental AI Research) lab, represents a pivotal shift in computer vision. Its creators took inspiration from recent developments in natural language processing (NLP) with foundation models.

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Bugra Akyildiz

MAY 12, 2024

Articles Apple wrote a blog post that presents a hybrid machine learning approach for personalizing heart rate prediction during exercise by combining a physiological model based on ordinary differential equations (ODEs) with neural networks and representation learning.

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