Marktechpost

JULY 25, 2023

Researchers at Google and Osaka University together found a way to reconstruct the music from brain activity using functional magnetic resonance imaging (fMRI). Researchers at Google and Osaka University use deep neural networks to generate music from features like fMRI scans by predicting high-level, semantically structured music.

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BERT Neural Network AI AI 75

Marktechpost

JULY 4, 2023

Unigrams, N-grams, exponential, and neural networks are valid forms for the Language Model. By optimizing the probability over all possible orders of factorization, its autoregressive formulation surpasses BERT’s restrictions, allowing for acquiring knowledge in both directions. rely on Language Models as their foundation.

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Large Language Models BERT Natural Language Processing Categorization 92

Topbots

APRIL 11, 2023

We’ll start with a seminal BERT model from 2018 and finish with this year’s latest breakthroughs like LLaMA by Meta AI and GPT-4 by OpenAI. BERT by Google Summary In 2018, the Google AI team introduced a new cutting-edge model for Natural Language Processing (NLP) – BERT , or B idirectional E ncoder R epresentations from T ransformers.

NLP 98

NLP Large Language Models BERT Natural Language Processing 98

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. This leap forward is due to the influence of foundation models in NLP, such as GPT and BERT. In this free live instance , the user can interactively segment objects and instances.

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Convolutional Neural Networks Computer Vision Neural Network Auto-classification 52

Marktechpost

JULY 3, 2023

The underlying architecture of LLMs typically involves a deep neural network with multiple layers. Based on the discovered patterns and connections found in the training data, this network analyses the input text and produces predictions. Together, these technological innovations have paved the way for an AI-driven future.

Large Language Models 97

Large Language Models Natural Language Processing LLM BERT 97

Topbots

OCTOBER 4, 2023

Image processing : Predictive image processing models, such as convolutional neural networks (CNNs), can classify images into predefined labels (e.g., Masking in BERT architecture ( illustration by Misha Laskin ) Another common type of generative AI model are diffusion models for image and video generation and editing.

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Generative AI Natural Language Processing Machine Learning Convolutional Neural Networks 118

Applied Data Science

DECEMBER 23, 2022

Dall-e , and pre-2022 tools in general, attributed their success either to the use of the Transformer or Generative Adversarial Networks. The former is a powerful architecture for artificial neural networks that was originally introduced for language tasks (you’ve probably heard of GPT-3 ?) Who should I follow? What happened?

Neural Network 52

Neural Network AI AI Data Science 52

Probably Approximately a Scientific Blog

JANUARY 12, 2021

Yet, endowing machines with such human-like commonsense reasoning capabilities has remained an elusive goal of AI research for decades. Past attempts, in the 1960s and 1970s, resulted in an AI winter, i.e. reduced interest and funding for AI research due to failed over-hyped research directions.

Natural Language Processing 52

Natural Language Processing BERT NLP Neural Network 52

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. Artificial neural networks consist of interconnected layers of nodes, or “neurons” which work together to process and learn from data.

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Large Language Models Neural Network LLM Chatbots 363

Mlearning.ai

JUNE 8, 2023

A few embeddings for different data type For text data, models such as Word2Vec , GLoVE , and BERT transform words, sentences, or paragraphs into vector embeddings. Images can be embedded using models such as convolutional neural networks (CNNs) , Examples of CNNs include VGG , and Inception. using its Spectrogram ).

Machine Learning 52

Machine Learning BERT Neural Network OpenAI 52

Heartbeat

OCTOBER 10, 2023

RoBERTa RoBERTa (Robustly Optimized BERT Approach) is a natural language processing (NLP) model based on the BERT (Bidirectional Encoder Representations from Transformers) architecture. It was developed by Facebook AI Research and released in 2019. It is a state-of-the-art model for a variety of NLP tasks.

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BERT NLP Machine Learning Natural Language Processing 52

Marktechpost

JUNE 30, 2023

Artificial Intelligence is evolving with the introduction of Generative AI and Large Language Models (LLMs). Well-known models like GPT, BERT, PaLM, etc., 3D scene understanding is also evolving, enabling the development of geometry-free neural networks that can be trained on a large dataset of scenes to learn scene representations.

Neural Network 95

Neural Network BERT Large Language Models Artificial Intelligence 95

ODSC - Open Data Science

APRIL 11, 2023

Speaker: Akash Tandon, Co-Founder and Co-author of Advanced Analytics with PySpark | Looppanel and O’Reilly Media Self-Supervised and Unsupervised Learning for Conversational AI and NLP Self-supervised and Unsupervised learning techniques such as Few-shot and Zero-shot learning are changing the shape of AI research and product community.

NLP 96

NLP Large Language Models Data Science Big Data 96

Heartbeat

OCTOBER 12, 2023

From recognizing objects in images to discerning sentiment in audio clips, the amalgamation of language models with multi-modal learning opens doors to uncharted possibilities in AI research, development, and application in industries ranging from healthcare and entertainment to autonomous vehicles and beyond.

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Large Language Models Neural Network Artificial Intelligence Artificial Intelligence 59

Applied Data Science

JANUARY 4, 2022

Transformers taking the AI world by storm The family of artificial neural networks (ANNs) saw a new member being born in 2017, the Transformer. Initially introduced for Natural Language Processing (NLP) applications like translation, this type of network was used in both Google’s BERT and OpenAI’s GPT-2 and GPT-3.

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Artificial Intelligence Artificial Intelligence Neural Network Deep Learning 52

Dlabs.ai

AUGUST 10, 2020

AI researchers have been building chatbots for well over sixty years. We asked our AI researchers to explain: Our AI team has developed a model with intent accuracy recognition at 98% – exceeding previously existing solutions, which was shown on the well known ATIS dataset and featured as number 1 on Papers with Code.

Natural Language Processing 52

Natural Language Processing Chatbots Neural Network Machine Learning 52

Topbots

JULY 6, 2023

If you’d like to skip around, here are the language models we featured: GPT-3 by OpenAI LaMDA by Google PaLM by Google Flamingo by DeepMind BLIP-2 by Salesforce LLaMA by Meta AI GPT-4 by OpenAI If this in-depth educational content is useful for you, you can subscribe to our AI research mailing list to be alerted when we release new material.

LLM 52

LLM Large Language Models Natural Language Processing OpenAI 52

Applied Data Science

MARCH 11, 2022

Gamification in AI — How Learning is Just a Game A walkthrough from Minsky’s Society of Mind to today’s renaissance of multi-agent AI systems. Yet here are some success stories from AI research proving that, once achieved, gamification can bring field-breaking benefits.

Neural Network 52

Neural Network AI AI Data Science 52

AWS Machine Learning Blog

MARCH 6, 2023

Large language models (LLMs) are neural network-based language models with hundreds of millions ( BERT ) to over a trillion parameters ( MiCS ), and whose size makes single-GPU training impractical. Regarding the scope of this post, note the following: We don’t cover neural network scientific design and associated optimizations.

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Large Language Models LLM Machine Learning ML 78

John Snow Labs

MAY 8, 2024

Nevertheless, the trajectory shifted remarkably with the introduction of advanced architectures like BERT (Bidirectional Encoder Representations from Transformers) and GPT (Generative Pre-trained Transformer), including subsequent versions such as OpenAI’s GPT-3.

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