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?

Convolutional Neural Networks 159

Convolutional Neural Networks Neural Network BERT Deep Learning 159

John Snow Labs

JUNE 6, 2023

Transformers are defined as a specific type of neural network architecture that have proven to be particularly effective for sequence classification tasks, thanks to their ability to capture long-term dependencies and contextual relationships in the data. The transformer architecture was introduced by Vaswani et al.

BERT 52

BERT Python NLP Neural Network 52

Applied Data Science

DECEMBER 23, 2022

Just wait until you hear what happened in 2022. In our review of 2019 we talked a lot about reinforcement learning and Generative Adversarial Networks (GANs), in 2020 we focused on Natural Language Processing (NLP) and algorithmic bias, in 202 1 Transformers stole the spotlight. In 2022 we got diffusion models ( NeurIPS paper ).

Neural Network 52

Neural Network AI AI Data Science 52

Google Research AI blog

FEBRUARY 2, 2023

One of our biggest efficiency improvements this year is the CollectiveEinsum strategy for evaluating the large scale matrix multiplication operations that are at the heart of neural networks. NaaS goes even further by searching for neural network architectures and hardware architectures together.

ML 72

ML Neural Network Algorithm Automation 72

AssemblyAI

NOVEMBER 8, 2023

  Each stage leverages a deep neural network that operates as a sequence labeling problem but at different granularities: the first network operates at the token level and the second at the character level. We’ve used the DistilBertTokenizer , which inherits from the BERT WordPiece tokenization scheme.

Neural Network 147

Neural Network BERT Large Language Models Deep Learning 147

ODSC - Open Data Science

FEBRUARY 17, 2023

Natural language processing (NLP) has been growing in awareness over the last few years, and with the popularity of ChatGPT and GPT-3 in 2022, NLP is now on the top of peoples’ minds when it comes to AI. BERT is still very popular over the past few years and even though the last update from Google was in late 2019 it is still widely deployed.

NLP 111

NLP BERT Deep Learning Data Science 111

Unite.AI

AUGUST 1, 2023

Prompt 1 : “Tell me about Convolutional Neural Networks.” ” Response 1 : “Convolutional Neural Networks (CNNs) are multi-layer perceptron networks that consist of fully connected layers and pooling layers. They are commonly used in image recognition tasks. .”

Prompt Engineer 246

Prompt Engineer Prompt Engineering ChatGPT Convolutional Neural Networks 246

AWS Machine Learning Blog

FEBRUARY 6, 2024

Overall, $384 billion is projected as the cost of pharmacovigilance activities to the overall healthcare industry by 2022. Transformers, BERT, and GPT The transformer architecture is a neural network architecture that is used for natural language processing (NLP) tasks.

Large Language Models 113

Large Language Models BERT NLP Data Scientist 113

AssemblyAI

MAY 3, 2023

This is heavily due to the popularization (and commercialization) of a new generation of general purpose conversational chatbots that took off at the end of 2022, with the release of ChatGPT to the public. Neurons in the network are associated with a set of numbers, commonly referred to as the neural network’s parameters.

Large Language Models 363

Large Language Models Neural Network LLM ChatGPT 363

Marek Rei

NOVEMBER 7, 2024

In this post he will share some of our ideas about interpretability, introduce the idea of atomic inference, and give an overview of the work in our 2022 and 2024 EMNLP papers [1,2]. Let me walk through our EMNLP 2022 paper to give you a flavour of what atomic inference methods can look like in practice. This sounds intriguing!

Explainability 90

Explainability BERT NLP Large Language Models 90

ODSC - Open Data Science

JUNE 9, 2023

The 1970s introduced bell bottoms, case grammars, semantic networks, and conceptual dependency theory. In the 90’s we got grunge, statistical models, recurrent neural networks and long short-term memory models (LSTM). It uses a neural network to learn the vector representations of words from a large corpus of text.

Natural Language Processing 52

Natural Language Processing ChatGPT Generative AI BERT 52

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

Snorkel AI

MARCH 1, 2023

Model architectures that qualify as “supervised learning”—from traditional regression models to random forests to most neural networks—require labeled data for training. BERT proved useful in several ways, including quantifying sentiment and predicting the words likely to follow in unfinished sentences.

BERT 83

BERT Natural Language Processing Large Language Models Neural Network 83

Bugra Akyildiz

DECEMBER 18, 2022

7:08 PM ∙ Dec 18, 2022 Articles Dramatron is a system that uses large language models that could be useful for authors for co-writing theatre scripts and screenplays. Brown researchers compared human visual recognition systems and Deep Neural Networks for what they believe where the important features of images are.

Neural Network 52

Neural Network ChatGPT Machine Learning Deep Learning 52

Snorkel AI

MAY 25, 2023

The potential of these enormous neural networks has both excited and frightened the public; the same technology that promises to help you digest long email chains also threatens to dethrone the essay as the default classroom assignment. All of this made it easy for researchers and practitioners to use BERT.

Large Language Models 52

Large Language Models BERT Neural Network LLM 52

Snorkel AI

MAY 25, 2023

The potential of these enormous neural networks has both excited and frightened the public; the same technology that promises to help you digest long email chains also threatens to dethrone the essay as the default classroom assignment. All of this made it easy for researchers and practitioners to use BERT.

Large Language Models 52

Large Language Models BERT Neural Network LLM 52

TensorFlow

MARCH 29, 2023

Posted by Sarina Sit, AMD AMD launched the 4 th Generation of AMD EPYC™ processors in November of 2022. This plug-in enables neural network inferencing on AMD EPYC CPUs with the AMD ZenDNN library. We are happy to announce the new availability of the TensorFlow-ZenDNN plug-in for TensorFlow v2.12 ZD-045 thru ZD-051

Neural Network 52

Neural Network Convolutional Neural Networks Natural Language Processing BERT 52

John Snow Labs

MAY 26, 2023

Transformers, a type of neural network architecture, are a popular method for generating these embeddings. Specifically, it involves using pre-trained transformer models, such as BERT or RoBERTa, to encode text into dense vectors that capture the semantic meaning of the sentences.

NLP 52

NLP BERT Natural Language Processing Deep Learning 52

Marek Rei

NOVEMBER 4, 2024

EMNLP 2022. EMNLP 2022. NeurIPS 2022. EMNLP 2022. EMNLP 2022. They show performance improvements in some settings and speed improvements in all evaluated settings, showing particular usefulness in settings where the LLM needs to retrieve information about multiple entities (e.g. UC Berkeley, CMU. Google Research.

Machine Learning 80

Machine Learning NLP Large Language Models LLM 80

The Stanford AI Lab Blog

MAY 31, 2022

Language Model Pretraining Language models (LMs), like BERT 1 and the GPT series 2 , achieve remarkable performance on many natural language processing (NLP) tasks. To achieve this, we first chunk each document into segments of roughly 256 tokens, which is half of the maximum BERT LM input length.

BERT 40

BERT Natural Language Processing NLP Neural Network 40

Bugra Akyildiz

NOVEMBER 24, 2022

9:19 PM ∙ Nov 24, 2022 Articles Stanford HAI develops a holistic way to measure/benchmark Foundation Models; called Holistic Evaluation of Language Models ( HELM ). In the model that is backed by Bert, they train two heads tasks; disfluency head and wait head. models and state-of-the-art architectures.

Deep Learning 52

Deep Learning Neural Network Machine Learning ML 52

Mlearning.ai

JANUARY 17, 2024

Major milestones in the last few years comprised BERT (Google, 2018), GPT-3 (OpenAI, 2020), Dall-E (OpenAI, 2021), Stable Diffusion (Stability AI, LMU Munich, 2022), ChatGPT (OpenAI, 2022). Complex ML problems can only be solved in neural networks with many layers. Deep learning neural network.

Generative AI 98

Generative AI Prompt Engineer Prompt Engineering Large Language Models 98

Dlabs.ai

MAY 22, 2022

We wrote about him in our article on the Top AI Influencers To Follow In 2022. Once complete, you’ll know all about machine learning, statistics, neural networks, and data mining. This course is a great starting point if you want to use it to build and apply scalable models to real-world problems.

Artificial Intelligence 52

Artificial Intelligence Artificial Intelligence Machine Learning Neural Network 52

ODSC - Open Data Science

JUNE 6, 2023

Using Embeddings to Detect Anomalies Figure 1: Using a trained deep neural network, it is possible to convert unstructured data to numeric representations, i.e., embeddings Embeddings are numerical representations generated from unstructured data like images, text, and audio, and greatly influence machine learning approaches for handling such data.

Machine Learning 90

Machine Learning Neural Network ML Engineer Data Science 90

Bugra Akyildiz

FEBRUARY 5, 2023

AITemplate (AIT) is a Python framework that transforms deep neural networks into CUDA (NVIDIA GPU) / HIP (AMD GPU) C++ code for lightning-fast inference serving. Seamless fp16 deep neural network models for NVIDIA GPU or AMD GPU. Unified, open, and flexible.

Large Language Models 52

Large Language Models Neural Network Machine Learning BERT 52

Jay Alammar

OCTOBER 3, 2022

V2 Nov 2022 : Updated images for more precise description of forward diffusion. In technical terms, this component is made up of a UNet neural network and a scheduling algorithm. With this we come to see the three main components (each with its own neural network) that make up Stable Diffusion: ClipText for text encoding.

Neural Network 98

Neural Network Explainability BERT Computer Vision 98

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. No 2018 Oct BERT Pre-trained transformer models started dominating the NLP field. Date Model Description Vision Transformer?

Convolutional Neural Networks 52

Convolutional Neural Networks Computer Vision Neural Network Natural Language Processing 52

Sebastian Ruder

AUGUST 15, 2021

NLP is all about pre-trained Transformers This should come as no surprise but it's still interesting to see that among the 14 "hot" topics of 2021 (see below) were five pre-trained models (BERT, RoBERTa, BART, GPT-2, XLM-R) and one general "Language models" topic. combine neural networks with a non-parametric memory.

NLP 52

NLP Explainability Neural Network Natural Language Processing 52

John Snow Labs

JUNE 5, 2023

Then, simply import the library and start a Spark session: import sparknlp # Start Spark Session spark = sparknlp.start() SentenceDetectorDLModel SentenceDetectorDL is based on a general-purpose neural network model for sentence boundary detection. This is called a pre-trained model. Spark NLP + Healthcare NLP).

NLP 52

NLP Natural Language Processing Deep Learning Algorithm 52

Dlabs.ai

MARCH 9, 2022

One important note: if you know about machine learning or have a decent understanding of artificial neural networks , you can skip this one. Beyond Python, the book explores sci-kit-learn alongside core libraries like NumPy, SciPy, pandas, and Jupyter Notebook.

Data Scientist 52

Data Scientist Machine Learning Python Data Science 52

AWS Machine Learning Blog

SEPTEMBER 11, 2024

In this example figure, features are extracted from raw historical data, which are then are fed into a neural network (NN). In November 2022, ChatGPT was released, a large language model (LLM) that used the transformer architecture, and is widely credited with starting the current generative AI boom.

ML 94

ML Deep Learning Algorithm Large Language Models 94

AWS Machine Learning Blog

APRIL 17, 2023

In 2022, SageMaker Hosting added the support for larger Amazon Elastic Block Store (Amazon EBS) volumes up to 500 GB, longer download timeout up to 60 minutes, and longer container startup time of 60 minutes. Model downloading and loading Large language models incur long download times (for example, 40 minutes to download BLOOM-176B).

Prompt Engineer 91

Prompt Engineer Prompt Engineering Deep Learning Large Language Models 91

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.

Large Language Models 92

Large Language Models LLM Machine Learning Deep Learning 92

Sebastian Ruder

JANUARY 24, 2022

6] such as W2v-BERT [7] as well as more powerful multilingual models such as XLS-R [8]. For each input chunk, nearest neighbor chunks are retrieved using approximate nearest neighbor search based on BERT embedding similarity. For more work on this topic, check out the EvoNLP workshop at EMNLP 2022. Why is it important?  

NLP 52

NLP ML BERT Computational Linguistics 52

AWS Machine Learning Blog

FEBRUARY 1, 2023

In late 2022, AWS announced the general availability of Amazon EC2 Trn1 instances powered by AWS Trainium —a purpose-built machine learning (ML) accelerator optimized to provide a high-performance, cost-effective, and massively scalable platform for training deep learning models in the cloud.

Deep Learning 96

Deep Learning BERT Neural Network ML 96

Unite.AI

AUGUST 4, 2023

Langchain: The Fastest Growing Prompt Tool LangChain, launched in October 2022 by Harrison Chase , has become one of the most highly rated open-source frameworks on GitHub in 2023. It offers a simplified and standardized interface for incorporating Large Language Models (LLMs) into applications.

Prompt Engineer 245

Prompt Engineer Prompt Engineering Python NLP 245

Unite.AI

AUGUST 8, 2023

The Technologies Behind Generative Models Generative models owe their existence to deep neural networks, sophisticated structures designed to mimic the human brain's functionality. By capturing and processing multifaceted variations in data, these networks serve as the backbone of numerous generative models.

Generative AI 243

Generative AI ChatGPT Neural Network Convolutional Neural Networks 243