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 123

Machine Learning BERT Deep Learning ML Engineer 123

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.

Convolutional Neural Networks 210

Convolutional Neural Networks Neural Network Robotics Natural Language Processing 210

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. Developing NLP tools isn’t so straightforward, and requires a lot of background knowledge in machine & deep learning, among others.

NLP 111

NLP BERT Deep Learning Data Science 111

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

IBM Journey to AI blog

MARCH 27, 2024

A 2022 CDP study found that for companies that report to CDP, emissions occurring in their supply chain represent an average of 11.4x Here’s where deep learning-based foundation models for NLP can be efficient across a broad range of NLP classification tasks when availability of labelled data is insufficient or limited.

ESG 273

ESG Categorization Large Language Models NLP 273

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

Google Research AI blog

FEBRUARY 2, 2023

AutoApprox automatically generates approximate low-power deep learning accelerators without any accuracy loss by mapping each neural network layer to an appropriate approximation level. A Transferable Approach for Partitioning Machine Learning Models on Multi-Chip-Modules ” proposes a slightly different approach.

ML 72

ML Neural Network Algorithm Automation 72

Unite.AI

SEPTEMBER 25, 2023

However, as technology advanced, so did the complexity and capabilities of AI music generators, paving the way for deep learning and Natural Language Processing (NLP) to play pivotal roles in this tech. Technical Insights The MusicLM leverages the principles of AudioLM , a framework introduced in 2022 for audio generation.

Generative AI 296

Generative AI Deep Learning Algorithm AI 296

Flipboard

FEBRUARY 16, 2023

In October 2022, we launched Amazon EC2 Trn1 Instances , powered by AWS Trainium , which is the second generation machine learning accelerator designed by AWS. Trn1 instances are purpose built for high-performance deep learning model training while offering up to 50% cost-to-train savings over comparable GPU-based instances.

Large Language Models 132

Large Language Models LLM BERT Deep Learning 132

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

John Snow Labs

MAY 26, 2023

Sentence embeddings with Transformers are a powerful natural language processing (NLP) technique that use deep learning models known as Transformers to encode sentences into fixed-length vectors that can be used for a variety of NLP tasks. Deep learning models have significantly advanced NLP capabilities.

NLP 52

NLP BERT Natural Language Processing Deep Learning 52

Bugra Akyildiz

NOVEMBER 24, 2022

Its latex code is also available in GitHub: github.com GitHub - michaelgutmann/ml-pen-and-paper-exercises: Pen and paper exercises in machine learning Pen and paper exercises in machine learning. In the model that is backed by Bert, they train two heads tasks; disfluency head and wait head.

Deep Learning 52

Deep Learning Neural Network Machine Learning ML 52

Pickl AI

FEBRUARY 14, 2023

According to the Ministry of Commerce, the number of startups in India has grown from 471 in 2016 to 72,993 in 2022. Significantly, by leveraging technologies like deep learning and proprietary algorithms for analytics, Artivatic.ai Bert Labs Pvt. Artivatic.ai Artivatic.ai Accordingly, Beatoven.ai

BERT 52

BERT Artificial Intelligence Artificial Intelligence AI 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). Deep learning neural network. In the code, the complete deep learning network is represented as a matrix of weights.

Generative AI 98

Generative AI Prompt Engineer Prompt Engineering Large Language Models 98

Sebastian Ruder

NOVEMBER 14, 2022

Research models such as BERT and T5 have become much more accessible while the latest generation of language and multi-modal models are demonstrating increasingly powerful capabilities. This post is partially based on a keynote I gave at the Deep Learning Indaba 2022. The Deep Learning Indaba 2022 in Tunesia.

Natural Language Processing 52

Natural Language Processing NLP Computational Linguistics BERT 52

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. Dragon can be used as a drop-in replacement for BERT. SELECT date.fromtimestamp(.purchase_ts) purchase_ts) AS purchase_date,price *.quantity

Neural Network 52

Neural Network ChatGPT Machine Learning Deep Learning 52

AssemblyAI

NOVEMBER 8, 2023

We’ve used the DistilBertTokenizer , which inherits from the BERT WordPiece tokenization scheme. This aligns with the scaling laws observed in other areas of deep learning, such as Automatic Speech Recognition and Large Language Models research. Training Data : We trained this neural network on a total of 3.7 Clark et al.,

Neural Network 147

Neural Network BERT Large Language Models Deep Learning 147

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. However, it was not designed for transfer learning and needs to be trained for specific tasks using a separate model. What are Vector Embeddings?

Machine Learning 52

Machine Learning BERT Neural Network OpenAI 52

Heartbeat

NOVEMBER 17, 2023

Considerations for Choosing a Distance Metric for Text Embeddings: Scale or Magnitude : Embeddings from models like Word2Vec, FastText, BERT, and GPT are often normalized to unit length. In the context of this code, it seems to be applied to vectors by determining the proportion of differing vector elements. ", " *bd{2}-d{2}-d{4}b.*"])

Data Scientist 52

Data Scientist Deep Learning Algorithm BERT 52

AssemblyAI

MAY 3, 2023

In the past months, an exquisitely human-centric approach called Reinforcement Learning from Human Feedback (RLHF) has rapidly emerged as a tour de force in the realm of AI alignment. This process of adapting pre-trained models to new tasks or domains is an example of Transfer Learning , a fundamental concept in modern deep learning.

Large Language Models 363

Large Language Models Neural Network LLM ChatGPT 363

AWS Machine Learning Blog

SEPTEMBER 11, 2024

Together, these elements lead to the start of a period of dramatic progress in ML, with NN being redubbed deep learning. In 2017, the landmark paper “ Attention is all you need ” was published, which laid out a new deep learning architecture based on the transformer.

ML 94

ML Deep Learning Algorithm Large Language Models 94

Dlabs.ai

MAY 22, 2022

Machine Learning Author: Andrew Ng Everyone interested in machine learning has heard of Andrew Ng : one of the most respected people in the AI world. We wrote about him in our article on the Top AI Influencers To Follow In 2022. 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

AWS Machine Learning Blog

APRIL 17, 2023

However, as the size and complexity of the deep learning models that power generative AI continue to grow, deployment can be a challenging task. Then, we highlight how Amazon SageMaker large model inference deep learning containers (LMI DLCs) can help with optimization and deployment.

Prompt Engineer 91

Prompt Engineer Prompt Engineering Deep Learning Large Language Models 91

Heartbeat

JANUARY 9, 2024

This is brought on by various developments, such as the availability of data, the creation of more potent computer resources, and the development of machine learning algorithms. LLMs received a lot of media attention when ChatGPT was released in December 2022. BERT and GPT are examples.

Large Language Models 52

Large Language Models Natural Language Processing LLM Machine Learning 52

TensorFlow

MARCH 29, 2023

Posted by Sarina Sit, AMD AMD launched the 4 th Generation of AMD EPYC™ processors in November of 2022. 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. For the ZenDNN plug-in, AOCL BLIS 3.0.6,

Neural Network 52

Neural Network Convolutional Neural Networks Natural Language Processing BERT 52

John Snow Labs

JUNE 5, 2023

SentenceDetectorDL is an annotator of Spark NLP, which detects sentence boundaries using a deep learning approach. In this post, you will learn how to use Spark NLP to perform sentence detection using pretrained models. In this post, you will learn how to use Spark NLP to perform sentence detection using pretrained models.

NLP 52

NLP Natural Language Processing Deep Learning Algorithm 52

Snorkel AI

APRIL 11, 2023

Cody Coleman, CEO and co-founder of Coactive AI gave a presentation entitled “Data Selection for Data-Centric AI: Quality over Quantity” at Snorkel AI’s Future of Data-Centric AI Event in August 2022. Active learning is a really powerful data selection technique for reducing labeling costs. And this work appeared in AAAI 2022.

Deep Learning 52

Deep Learning Algorithm BERT ML 52

Snorkel AI

APRIL 11, 2023

Cody Coleman, CEO and co-founder of Coactive AI gave a presentation entitled “Data Selection for Data-Centric AI: Quality over Quantity” at Snorkel AI’s Future of Data-Centric AI Event in August 2022. Active learning is a really powerful data selection technique for reducing labeling costs. And this work appeared in AAAI 2022.

Deep Learning 52

Deep Learning Algorithm BERT ML 52

Snorkel AI

APRIL 11, 2023

Cody Coleman, CEO and co-founder of Coactive AI gave a presentation entitled “Data Selection for Data-Centric AI: Quality over Quantity” at Snorkel AI’s Future of Data-Centric AI Event in August 2022. Active learning is a really powerful data selection technique for reducing labeling costs. And this work appeared in AAAI 2022.

Deep Learning 52

Deep Learning Algorithm BERT ML 52

Dlabs.ai

MARCH 9, 2022

You won’t find any heavy math theory; just a great way to learn how to make technical decisions during any machine learning project. Deep Learning with PyTorch Step-by-Step Author: Daniel Voigt Godoy The last title is also the most recent.

Data Scientist 52

Data Scientist Machine Learning Python 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. Gili Nachum is a senior AI/ML Specialist Solutions Architect who works as part of the EMEA Amazon Machine Learning team.

Large Language Models 92

Large Language Models LLM Machine Learning Deep Learning 92

Topbots

JUNE 15, 2023

In Findings of the Association for Computational Linguistics: ACL 2022 , pages 2340–2354, Dublin, Ireland. Are All Languages Created Equal in Multilingual BERT? In Proceedings of the 5th Workshop on Representation Learning for NLP , pages 120–130, Online. New York: Riverhead Books, 2022 (p. Shijie Wu and Mark Dredze.

Natural Language Processing 59

Natural Language Processing Computational Linguistics NLP ChatGPT 59

Viso.ai

FEBRUARY 25, 2023

No 2018 Oct BERT Pre-trained transformer models started dominating the NLP field. Yes 2021 – today ViT Variants There are several ViT variants, including DeiT, PVT, TNT, Swin, and CSWin (2022). Yes Are Transformers a Deep Learning method? Date Model Description Vision Transformer?

Convolutional Neural Networks 52

Convolutional Neural Networks Computer Vision Neural Network Natural Language Processing 52

Snorkel AI

FEBRUARY 13, 2023

Jan Neumann, Vice President, Machine Learning, Comcast Applied AI and Discovery gave a presentation entitled “Data-Centric AI in Comcast’s Voice and Conversational Interfaces” at Snorkels Future of Data-Centric AI conference in 2022. JN: Currently our model is an adaptation of the BERT model.

Metadata 52

Metadata Machine Learning Deep Learning BERT 52

Snorkel AI

FEBRUARY 13, 2023

Jan Neumann, Vice President, Machine Learning, Comcast Applied AI and Discovery gave a presentation entitled “Data-Centric AI in Comcast’s Voice and Conversational Interfaces” at Snorkels Future of Data-Centric AI conference in 2022. JN: Currently our model is an adaptation of the BERT model.

Metadata 52

Metadata Machine Learning Deep Learning BERT 52

ODSC - Open Data Science

FEBRUARY 14, 2023

Since its release on November 30, 2022 by OpenAI , the ChatGPT public demo has taken the world by storm. Seek AI uses complex deep-learning foundation models with hundreds of billions of parameters. It is the latest in the research lab’s lineage of large language models using Generative Pre-trained Transformer (GPT) technology.

ChatGPT 124

ChatGPT Large Language Models OpenAI Conversational AI 124

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