Flipboard

JUNE 20, 2023

We present the results of recent performance and power draw experiments conducted by AWS that quantify the energy efficiency benefits you can expect when migrating your deep learning workloads from other inference- and training-optimized accelerated Amazon Elastic Compute Cloud (Amazon EC2) instances to AWS Inferentia and AWS Trainium.

Machine Learning 94

Machine Learning BERT Deep Learning ML Engineer 94

Towards AI

DECEMBER 28, 2023

The advent of more powerful personal computers paved the way for the gradual acceptance of deep learning-based methods. Major language models like GPT-3 and BERT often come with Python APIs, making it easy to integrate them into various applications. CS6910/CS7015: Deep Learning Mitesh M.

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Large Language Models Natural Language Processing Prompt Engineer Prompt Engineering 109

AWS Machine Learning Blog

NOVEMBER 22, 2023

Amazon Elastic Compute Cloud (Amazon EC2) DL2q instances, powered by Qualcomm AI 100 Standard accelerators, can be used to cost-efficiently deploy deep learning (DL) workloads in the cloud. The SoC employs scalar, vector, and tensor compute cores with an industry-leading on-die SRAM capacity of 126 MB. python3.8 -m

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BERT Deep Learning Python Auto-classification 102

Heartbeat

MARCH 22, 2023

This week, we’ve got some fantastic pieces on NLP, including a discussion of RoBERTa, and some deep dives into computer vision. A Vision for the Future: How Computer Vision is Transforming Robotics — by Randy Barak a Computer vision is crucial to robotics because it allows robots to see and interpret their environment.

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BERT Computer Vision Robotics NLP 40

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.

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BERT Deep Learning ML Neural Network 78

Viso.ai

DECEMBER 18, 2023

As an Edge AI implementation, TensorFlow Lite greatly reduces the barriers to introducing large-scale computer vision with on-device machine learning, making it possible to run machine learning everywhere. About us: At viso.ai, we power the most comprehensive computer vision platform Viso Suite.

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Computer Vision Machine Learning Deep Learning Neural Network 98

Heartbeat

JANUARY 25, 2023

With our new focus areas, we’re diving into Computer Vision and NLP projects as well as spending more time on deep learning projects and seeing how you, the community, use Comet and Kangas. This week we’ve got pieces on YOLOv5, sentiment analysis, ExBERT, and how to use Comet for deep learning experiments.

Deep Learning 40

Deep Learning Computer Vision BERT Python 40

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 98

Large Language Models Natural Language Processing LLM BERT 98

Viso.ai

APRIL 4, 2024

A deep learning model using TensorFlow or facial recognition might experience data drift due to poor lighting or demographic changes. About us: Viso Suite provides enterprise ML teams with 695% ROI on their computer vision applications. Find out how Viso Suite can automate your team’s projects by booking a demo.

Data Drift 52

Data Drift Computer Vision Machine Learning Algorithm 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? Further, it can also infer that the child is having fun.

Convolutional Neural Networks 52

Convolutional Neural Networks Computer Vision Neural Network NLP 52

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

MARCH 26, 2024

With advancements in machine learning (ML) and deep learning (DL), AI has begun to significantly influence financial operations. This drastically enhanced the capabilities of computer vision systems to recognize patterns far beyond the capability of humans. To learn more about Viso Suite, book a demo with our team.

Computer Vision 52

Computer Vision Neural Network Machine Learning Convolutional Neural Networks 52

Marktechpost

JULY 19, 2023

Examples of text-only LLMs include GPT-3 , BERT , RoBERTa , etc. Why is there a need for Multimodal Language Models The text-only LLMs like GPT-3 and BERT have a wide range of applications, such as writing articles, composing emails, and coding. However, this text-only approach has also highlighted the limitations of these models.

Artificial Intelligence 98

Artificial Intelligence Artificial Intelligence Large Language Models Robotics 98

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

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

Viso.ai

MARCH 26, 2024

This enhances the interpretability of AI systems for applications in computer vision and natural language processing (NLP). The introduction of the Transformer model was a significant leap forward for the concept of attention in deep learning. Learn more by booking a demo. Vaswani et al.

Deep Learning 52

Deep Learning Computer Vision Neural Network Natural Language Processing 52

AWS Machine Learning Blog

MAY 10, 2023

To cover the popular and broad range of customer applications, in this post we discuss the inference performance of PyTorch, TensorFlow, XGBoost, and scikit-learn frameworks. He is a member of Deep Learning containers, supporting various Framework container images, to include Graviton Inference. architecture.

Machine Learning 77

Machine Learning Software Development ML Deep Learning 77

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

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BERT NLP Deep Learning Neural Network 52

Heartbeat

JUNE 6, 2023

GCNs have been successfully applied to many domains, including computer vision and social network analysis. Prerequisites To follow along with this tutorial, you will need the following: Basic knowledge of Python and deep learning. References Paperwithcode | Graph Convolutional Network Kai, S., Richong, Z., & Nie, JY.

NLP 59

NLP Convolutional Neural Networks Neural Network Natural Language Processing 59

Bugra Akyildiz

DECEMBER 18, 2022

Libraries EasyRec implements state of the art deep learning models used in common recommendation tasks: candidate generation(matching), scoring(ranking), and multi-task learning. Collecting, labeling, and cleaning data for computer vision is a pain. Dragon can be used as a drop-in replacement for BERT.

Neural Network 52

Neural Network ChatGPT Machine Learning Deep Learning 52

Viso.ai

MARCH 19, 2024

About Us: We’re the creators of Viso Suite: the end-to-end machine learning infrastructure for enterprises. To learn more, book a demo with the viso.ai Expand the scope of computer vision applications to include more dynamic and contextually rich environments. What is Grounded-SAM? is installed.

Explainability 52

Explainability Computer Vision Machine Learning ChatGPT 52

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 82

Prompt Engineer Prompt Engineering NLP Computer Vision 82

Flipboard

MARCH 27, 2023

Project Structure Accelerating Convolutional Neural Networks Parsing Command Line Arguments and Running a Model Evaluating Convolutional Neural Networks Accelerating Vision Transformers Evaluating Vision Transformers Accelerating BERT Evaluating BERT Miscellaneous Summary Citation Information What’s New in PyTorch 2.0?

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Neural Network Convolutional Neural Networks BERT Computer Vision 117

Heartbeat

OCTOBER 5, 2023

Unsurprisingly, Machine Learning (ML) has seen remarkable progress, revolutionizing industries and how we interact with technology. The emergence of Large Language Models (LLMs) like OpenAI's GPT , Meta's Llama , and Google's BERT has ushered in a new era in this field. We pay our contributors, and we don't sell ads.

Large Language Models 52

Large Language Models DevOps Prompt Engineer Prompt Engineering 52

Heartbeat

OCTOBER 23, 2023

By analyzing historical data and utilizing predictive machine learning algorithms like BERT, ARIMA, Markov Chain Analysis, Principal Component Analysis, and Support Vector Machine, they can assess the likelihood of adverse events, such as hospital readmissions, and stratify patients based on risk profiles.

Data Scientist 52

Data Scientist Machine Learning Big Data Algorithm 52

AWS Machine Learning Blog

JANUARY 17, 2023

Computer vision. Reinforcement learning. The following table summarizes the evaluation results for our multimodal model with a Hugging Face sentence transformer and Scikit-learn random forest classifier. BERT + Random Forest. BERT + Random Forest. BERT + Random Forest with HPO. BERT + Random Forest.

Categorization 70

Categorization BERT Machine Learning Neural Network 70

Dlabs.ai

MAY 22, 2022

Introduction to TensorFlow for Artificial Intelligence, Machine Learning, and Deep Learning Author: Laurence Moroney TensorFlow is an open-source framework that gives you many opportunities to create advanced machine learning models. These skills are a must-have if you plan to work with Google Cloud.

Artificial Intelligence 52

Artificial Intelligence Artificial Intelligence Machine Learning Neural Network 52

TensorFlow

MARCH 29, 2023

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. TF-ZenDNN We have integrated ZenDNN into high-level AI frameworks for ease of use. For the ZenDNN plug-in, AOCL BLIS 3.0.6, ZD-045 thru ZD-051

Neural Network 52

Neural Network Convolutional Neural Networks Natural Language Processing Computer Vision 52

Mlearning.ai

FEBRUARY 8, 2023

for example, the attention-based models (Transformer, Bert, GPT3 ….) transformer, bert) as an encoder to map the word into different spaces, which could describe the word semantics better. Thus, in Stable Diffusion 2, the author used OpenCLIP-ViT/H as the text encoder (τ_θ in the above image) to extract the word representation (repr.).

BERT 52

BERT Neural Network NLP Deep Learning 52

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.

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Deep Learning Artificial Intelligence Artificial Intelligence AI 321

Topbots

OCTOBER 4, 2023

They can be based on basic machine learning models like linear regression, logistic regression, decision trees, and random forests. In some cases, deep learning algorithms and reinforcement learning demonstrate exceptional performance for predictive AI tasks thanks to their ability to learn complex patterns in data.

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Generative AI Natural Language Processing Machine Learning Convolutional Neural Networks 118

Probably Approximately a Scientific Blog

JANUARY 12, 2021

In the last 5 years, popular media has made it seem that AI is nearly if not already solved by deep learning, with reports on super-human performance on speech recognition, image captioning, and object recognition. Figure 1: adversarial examples in computer vision (left) and natural language processing tasks (right).

Natural Language Processing 52

Natural Language Processing BERT NLP Neural Network 52

Unite.AI

APRIL 2, 2024

These problems, commonly referred to as degradations in low-level computer vision, can arise from difficult environmental conditions like heat or rain or from limitations of the camera itself. Recent deep learning methods have displayed stronger and more consistent performance when compared to traditional image restoration methods.

Computer Vision 130

Computer Vision Neural Network Convolutional Neural Networks Deep Learning 130

PyImageSearch

AUGUST 14, 2023

As shown in Figure 10 , the module uses a BERT (bidirectional encoder representations from transformers) model, which performs classification on top of classification token ([CLS]) output embedding. 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

Viso.ai

APRIL 26, 2024

About us: Viso Suite is the end-to-end computer vision infrastructure for enterprises. Learn how Viso Suite can optimize your applications by booking a demo with our team. In particular, BERT’s bidirectional training gives it an even more accurate and nuanced understanding of context.

Convolutional Neural Networks 52

Convolutional Neural Networks Computer Vision Neural Network Natural Language Processing 52

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. A deep learning framework from Microsoft.

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. They can also perform self-supervised learning to generalize and apply their knowledge to new tasks. An open-source model, Google created BERT in 2018.

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Generative AI Data Scientist BERT Machine Learning 151