Unite.AI

MAY 29, 2024

Recent advancements in hardware such as Nvidia H100 GPU, have significantly enhanced computational capabilities. With nine times the speed of the Nvidia A100, these GPUs excel in handling deep learning workloads. These networks excel in modeling intricate relationships and dependencies within data sequences.

Data Extraction 147

Data Extraction Neural Network Large Language Models Automation 147

Google Research AI blog

FEBRUARY 7, 2023

The explosion in deep learning a decade ago was catapulted in part by the convergence of new algorithms and architectures, a marked increase in data, and access to greater compute. The basic idea of MoEs is to construct a network from a number of expert sub-networks, where each input is processed by a suitable subset of experts.

Deep Learning 118

Deep Learning Algorithm Neural Network ML 118

Heartbeat

SEPTEMBER 20, 2023

Pixabay: by Activedia Image captioning combines natural language processing and computer vision to generate image textual descriptions automatically. Image captioning integrates computer vision, which interprets visual information, and NLP, which produces human language.

Natural Language Processing 52

Natural Language Processing Computer Vision NLP Algorithm 52

Mlearning.ai

MARCH 2, 2023

Pre-training of Deep Bidirectional Transformers for Language Understanding BERT is a language model that can be fine-tuned for various NLP tasks and at the time of publication achieved several state-of-the-art results. Finally, the impact of the paper and applications of BERT are evaluated from today’s perspective. 1 Impact V.2

BERT 52

BERT NLP Deep Learning Neural Network 52

Viso.ai

APRIL 26, 2024

Object detection systems typically use frameworks like Convolutional Neural Networks (CNNs) and Region-based CNNs (R-CNNs). Concept of Convolutional Neural Networks (CNN) However, in prompt object detection systems, users dynamically direct the model with many tasks it may not have encountered before.

Convolutional Neural Networks 52

Convolutional Neural Networks Computer Vision Neural Network Natural Language Processing 52

Viso.ai

MARCH 20, 2024

Models like GPT 4, BERT, DALL-E 3, CLIP, Sora, etc., Use Cases for Foundation Models Applications in Pre-trained Language Models like GPT, BERT, Claude, etc. Applications in Computer Vision Models like ResNET, VGG, Image Captioning, etc. Learn more about Viso Suite by booking a demo with us.

AI Developer 52

AI Developer AI Development Computer Vision BERT 52

Marktechpost

APRIL 20, 2024

Deep neural networks like convolutional neural networks (CNNs) have revolutionized various computer vision tasks, from image classification to object detection and segmentation. In summary, ReffAKD offers a valuable contribution to the deep learning community by democratizing knowledge distillation.

Machine Learning 82

Machine Learning Neural Network Convolutional Neural Networks Computer Vision 82

Unite.AI

SEPTEMBER 18, 2023

Artificial Intelligence is a very vast branch in itself with numerous subfields including deep learning, computer vision , natural language processing , and more. Another subfield that is quite popular amongst AI developers is deep learning, an AI technique that works by imitating the structure of neurons.

Deep Learning 321

Deep Learning Artificial Intelligence Artificial Intelligence AI 321

Viso.ai

DECEMBER 18, 2023

ONNX is an open standard for representing computer vision and machine learning models. The ONNX standard provides a common format enabling the transfer of models between different machine learning frameworks such as TensorFlow, PyTorch , MXNet, and others. ONNX (Open Neural Network Exchange) is an open-source format.

Explainability 52

Explainability Neural Network Deep Learning Machine Learning 52

IBM Journey to AI blog

AUGUST 1, 2023

It’s the underlying engine that gives generative models the enhanced reasoning and deep learning capabilities that traditional machine learning models lack. A foundation model is built on a neural network model architecture to process information much like the human brain does.

Generative AI 140

Generative AI Data Scientist BERT Machine Learning 140

AWS Machine Learning Blog

FEBRUARY 24, 2023

This satisfies the strong MME demand for deep neural network (DNN) models that benefit from accelerated compute with GPUs. These include computer vision (CV), natural language processing (NLP), and generative AI models. Instance Type GPU Type Num of GPUs GPU Memory (GiB) ml.g4dn.2xlarge

BERT 84

BERT NLP Computer Vision Neural Network 84

Heartbeat

FEBRUARY 8, 2024

Cross-modal retrieval is a branch of computer vision and natural language processing that links visual and verbal descriptions. Building the Model Deep learning techniques have proven to be highly effective in performing cross-modal retrieval. For text-to-image search, we reverse the process. pip install tensorflow --q !pip

Neural Network 52

Neural Network Deep Learning Convolutional Neural Networks Computer Vision 52

PyImageSearch

AUGUST 14, 2023

Graph Construction Amazon uses graph neural networks (GNNs) to model these relationships between products by learning their respective product embeddings ( Figure 3 ). Do you think learning computer vision and deep learning has to be time-consuming, overwhelming, and complicated?

Computer Vision 98

Computer Vision Deep Learning Algorithm Neural Network 98

AWS Machine Learning Blog

MARCH 20, 2023

Quantization is a technique to reduce the computational and memory costs of running inference by representing the weights and activations with low-precision data types like 8-bit integer (INT8) instead of the usual 32-bit floating point (FP32). In the following example figure, we show INT8 inference performance in C6i for a BERT-base model.

BERT 76

BERT Deep Learning ML Neural Network 76

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. SAM performs segmentation, a computer vision task , to meticulously dissect visual data into meaningful segments, enabling precise analysis and innovations across industries.

Convolutional Neural Networks 52

Convolutional Neural Networks Computer Vision Neural Network Auto-classification 52

Viso.ai

FEBRUARY 25, 2023

Vision Transformer (ViT) have recently emerged as a competitive alternative to Convolutional Neural Networks (CNNs) that are currently state-of-the-art in different image recognition computer vision tasks. This article will cover the following topics: What is a Vision Transformer (ViT)?

Convolutional Neural Networks 52

Convolutional Neural Networks Computer Vision Neural Network Natural Language Processing 52

Viso.ai

DECEMBER 27, 2023

In particular, you’ll learn: How does CLIP work? Architecture and training process How CLIP resolves key challenges in computer vision Practical applications Challenges and limitations while implementing CLIP Future advancements How Does CLIP Work? Image Encoder: The image encoder extracts salient features from the visual input.

Convolutional Neural Networks 52

Convolutional Neural Networks Computer Vision Neural Network NLP 52

Marktechpost

JULY 3, 2023

From deep learning, Natural Language Processing (NLP), and Natural Language Understanding (NLU) to Computer Vision, AI is propelling everyone into a future with endless innovations. These deep learning-based models demonstrate impressive accuracy and fluency while processing and comprehending natural language.

Large Language Models 97

Large Language Models Natural Language Processing LLM BERT 97

Bugra Akyildiz

DECEMBER 18, 2022

Brown researchers compared human visual recognition systems and Deep Neural Networks for what they believe where the important features of images are. Libraries EasyRec implements state of the art deep learning models used in common recommendation tasks: candidate generation(matching), scoring(ranking), and multi-task learning.

Neural Network 52

Neural Network ChatGPT Machine Learning Deep Learning 52

NVIDIA Developer

JUNE 2, 2021

And when designed correctly, developers can use these techniques to build powerful NLP applications that provide natural and seamless human-computer interactions within chatbots, AI voice agents, and more. Fundamental understanding of a deep learning framework such as TensorFlow, PyTorch, or Keras.

Natural Language Processing 40

Natural Language Processing Neural Network Deep Learning BERT 40

AWS Machine Learning Blog

JUNE 12, 2023

You will learn how to train a 6-billion-parameter GPT-J model on SageMaker with ease. Transformer neural networks A transformer neural network is a popular deep learning architecture to solve sequence-to-sequence tasks. He helps customers train, optimize, and deploy deep learning models.

Deep Learning 65

Deep Learning Auto-classification Computer Vision Large Language Models 65

Heartbeat

JUNE 6, 2023

Photo by GuerrillaBuzz on Unsplash Graph Convolutional Networks (GCNs) are a type of neural network that operates on graphs, which are mathematical structures consisting of nodes and edges. GCNs have been successfully applied to many domains, including computer vision and social network analysis.

NLP 59

NLP Convolutional Neural Networks Neural Network Natural Language Processing 59

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

NVIDIA Developer

MAY 20, 2021

Deep learning is a powerful AI approach that uses multi-layered artificial neural networks to deliver state-of-the-art accuracy in tasks such as object detection, speech recognition, and language translation. You’ll train deep learning models from scratch, learning tools and tricks to achieve highly accurate results.

Natural Language Processing 40

Natural Language Processing Deep Learning Neural Network NLP 40

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.

Artificial Intelligence 52

Artificial Intelligence Artificial Intelligence Neural Network Deep Learning 52

TensorFlow

MARCH 29, 2023

This plug-in enables neural network inferencing on AMD EPYC CPUs with the AMD ZenDNN library. ZenDNN ZenDNN, which is available open-source from GitHub , is a low-level AMD deep neural network library that includes basic neural network building blocks optimized for AMD EPYC CPUs. ZD-045 thru ZD-051

Neural Network 52

Neural Network Convolutional Neural Networks Natural Language Processing Computer Vision 52

Lexalytics

APRIL 5, 2021

They were not wrong: the results they found about the limitations of perceptrons still apply even to the more sophisticated deep-learning networks of today. This book effectively killed off interest in neural networks at that time, and Rosenblatt, who died shortly thereafter in a boating accident, was unable to defend his ideas.

Neural Network 52

Neural Network Convolutional Neural Networks Natural Language Processing BERT 52

Pragnakalp

JANUARY 1, 2024

Transformer models are a type of neural network architecture designed to process sequential material, such as sentences or time-series data. Since then, in the realms of AI and machine learning, transformer models have emerged as a groundbreaking approach to various language-related tasks.

Natural Language Processing 52

Natural Language Processing Neural Network Convolutional Neural Networks LLM 52

Viso.ai

JANUARY 2, 2024

provides a robust enterprise platform Viso Suite to build and scale computer vision end-to-end with no-code tools. Our software helps industry leaders efficiently implement real-world deep learning AI applications with minimal overhead for all downstream tasks. BERT, LaMDA, Claude 2, etc. Get a demo.

Large Language Models 52

Large Language Models Deep Learning Computer Vision LLM 52

AWS Machine Learning Blog

AUGUST 8, 2023

Recent scientific breakthroughs in deep learning (DL), large language models (LLMs), and generative AI is allowing customers to use advanced state-of-the-art solutions with almost human-like performance. In this post, we show how to run multiple deep learning ensemble models on a GPU instance with a SageMaker MME.

BERT 75

BERT Deep Learning Auto-classification ML 75

Viso.ai

DECEMBER 15, 2023

Muzic is a “research project on AI music that empowers music understanding and generation with deep learning and artificial intelligence.” Muzic’s multifaceted approach aims to combine AI’s computational power with the artistry of music. Microsoft launched the project in 2019 in Asia.

Computer Vision 52

Computer Vision Deep Learning AI AI 52

DataRobot Blog

MARCH 9, 2022

With that said, recent advances in deep learning methods have allowed models to improve to a point that is quickly approaching human precision on this difficult task. LSTMs and other recurrent neural networks RNNs are probably the most commonly used deep learning models for NLP and with good reason.

Machine Learning 52

Machine Learning Neural Network Convolutional Neural Networks Deep Learning 52

Google Research AI blog

FEBRUARY 10, 2023

We also had a number of interesting results on graph neural networks (GNN) in 2022. We provided a model-based taxonomy that unified many graph learning methods. Research in this area spans many products and uses principles from differential privacy (DP) and federated learning.

Algorithm 110

Algorithm Neural Network Auto-classification ML 110

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

deepsense.ai

FEBRUARY 6, 2024

Harnessing the power of deep learning for image segmentation is revolutionizing numerous industries, but often encounters a significant obstacle – the limited availability of training data. Over the years, various successful deep learning architectures have been developed for this task, such as U-Net or SegFormer.

Prompt Engineer 99

Prompt Engineer Prompt Engineering NLP Computer Vision 99

Dlabs.ai

MAY 22, 2022

Here, we’ll focus more on his AI courses, particularly the one on ML (one of the most popular and highly-rated Machine Learning online courses around). Once complete, you’ll know all about machine learning, statistics, neural networks, and data mining.

Artificial Intelligence 52

Artificial Intelligence Artificial Intelligence Machine Learning Neural Network 52

Topbots

OCTOBER 4, 2023

Image processing : Predictive image processing models, such as convolutional neural networks (CNNs), can classify images into predefined labels (e.g., They can be based on basic machine learning models like linear regression, logistic regression, decision trees, and random forests. a social media post or product description).

Generative AI 118

Generative AI Natural Language Processing Machine Learning Convolutional Neural Networks 118