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 Architecture III.2

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BERT NLP Deep Learning Neural Network 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. In this blog, you will find some of the top startups in India that have been changing the face of AI, focusing on some promising AI companies in India. Bert Labs Pvt. Accordingly, Beatoven.ai

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BERT Artificial Intelligence Artificial Intelligence AI 52

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 ). Deepmind shared their best practices for their data enrichment in the following blog post. The paper goes into much more detail in various sections.

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Deep Learning Neural Network Machine Learning ML 52

Google Research AI blog

FEBRUARY 28, 2023

In 2022, we expanded our research interactions and programs to faculty and students across Latin America , which included grants to women in computer science in Ecuador. See some of the datasets and tools we released in 2022 listed below. We work towards inclusive goals and work across the globe to achieve them.

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Robotics Deep Learning Auto-classification ML 72

Bugra Akyildiz

DECEMBER 18, 2022

Before going further, a new announcement for embeddings also came from OpenAI: openai.com/blog/new-and-i… nnIt is cross-modal, and it is 1/500th of the price of the old embedding model DaVinci. ","username":"bugraa","name":"Bugra Dragon can be used as a drop-in replacement for BERT.

Neural Network 52

Neural Network ChatGPT Machine Learning Deep Learning 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.

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Deep Learning BERT Neural Network ML 91

Google Research AI blog

FEBRUARY 10, 2023

In 2022, we continued this journey, and advanced the state-of-the-art in several related areas. We also had a number of interesting results on graph neural networks (GNN) in 2022. Top Market algorithms and causal inference We also continued our research in improving online marketplaces in 2022.

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Algorithm Neural Network Auto-classification ML 110

TensorFlow

MARCH 29, 2023

Posted by Sarina Sit, AMD AMD launched the 4 th Generation of AMD EPYC™ processors in November of 2022. binary package available on our ZenDNN developer resources page is referred to in this blog as our TF-ZenDNN direct integration version. Please see endnotes ZD-045 through ZD-051 at the end of this blog. The ZenDNN v4.0

Neural Network 52

Neural Network Convolutional Neural Networks Natural Language Processing Computer Vision 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 LLM 52

Sebastian Ruder

AUGUST 15, 2021

" I've also written a longer blog post that provides a broader overview of different perspectives, challenges, and potential solutions to improve benchmarking in NLP. More recently, in 2022, Benjamin Marie has written additional posts where he analysed shortcomings in the MT evaluation of prominent papers. Mind Your Outliers!

NLP 52

NLP Explainability Neural Network Natural Language Processing 52

Bugra Akyildiz

FEBRUARY 26, 2023

We are heavy Google Research posts this week, enjoy specifically the 2022 & Beyond series! Bert paper has demos from HF spaces and Replicate. Libraries MLCommons Algorithmic Efficiency is a benchmark and competition measuring neural network training speedups due to algorithmic improvements in both training algorithms and models.

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Neural Network Deep Learning BERT Algorithm 52

Jay Alammar

OCTOBER 3, 2022

V2 Nov 2022 : Updated images for more precise description of forward diffusion. The released Stable Diffusion model uses ClipText (A GPT-based model ), while the paper used BERT. Translations: Chinese , Vietnamese. ( The choice of language model is shown by the Imagen paper to be an important one.

Neural Network 98

Neural Network Explainability Computer Vision BERT 98

Heartbeat

JANUARY 9, 2024

LLMs received a lot of media attention when ChatGPT was released in December 2022. BERT and GPT are examples. 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.

Large Language Models 52

Large Language Models Natural Language Processing LLM Machine Learning 52

Google Research AI blog

FEBRUARY 2, 2023

This blog post also highlights our research on leveraging ML itself to help improve and design the next generations of system stacks. For a BERT model on an Edge TPU-based multi-chip mesh, this approach discovers a better distribution of the model across devices using a much smaller time budget compared to non-learned search strategies.

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ML Neural Network Algorithm Automation 72

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

AWS Machine Learning Blog

DECEMBER 4, 2023

An important aspect of our strategy has been the use of SageMaker and AWS Batch to refine pre-trained BERT models for seven different languages. Fine-tuning multilingual BERT models with AWS Batch GPU jobs We sought a solution to support multiple languages for our diverse user base.

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BERT Auto-complete Data Scientist Machine Learning 94

John Snow Labs

MAY 26, 2023

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. There is also a short section about generating sentence embeddings from Bert word embeddings, focusing specifically on the average-based transformation technique.

NLP 52

NLP BERT Natural Language Processing Deep Learning 52

Snorkel AI

MARCH 1, 2023

BERT BERT, an acronym that stands for “Bidirectional Encoder Representations from Transformers,” was one of the first foundation models and pre-dated the term by several years. BERT proved useful in several ways, including quantifying sentiment and predicting the words likely to follow in unfinished sentences.

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BERT Natural Language Processing Large Language Models Neural Network 83

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.

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BERT Natural Language Processing NLP Neural Network 40

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. Meet AI's multitool: Vector embeddings | Google Cloud Blog Embedding applications Recommendation systems (i.e. What are Vector Embeddings? using its Spectrogram ).

Machine Learning 52

Machine Learning BERT Neural Network OpenAI 52

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. We will be exploring these in future blog posts!

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Large Language Models Neural Network LLM Chatbots 363

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. Some examples of large language models include GPT (Generative Pre-training Transformer), BERT (Bidirectional Encoder Representations from Transformers), and RoBERTa (Robustly Optimized BERT Approach).

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ChatGPT Large Language Models OpenAI Conversational AI 124

Bugra Akyildiz

FEBRUARY 5, 2023

Emergent abilities of Large Language Models paper and blog post talks about some of these emergent capabilities where emergent capabilities as abilities that are not present in small models but are present in larger models. Google has a post on Federated Learning and how it protects Privacy. Unified, open, and flexible.

Large Language Models 52

Large Language Models Neural Network Machine Learning BERT 52

Sebastian Ruder

JANUARY 24, 2022

6] such as W2v-BERT [7] as well as more powerful multilingual models such as XLS-R [8]. Consequently, 2021 saw much discussion of best practices and ways in which we can reliably evaluate such models going forward, which I cover in this blog post. For more work on this topic, check out the EvoNLP workshop at EMNLP 2022.

NLP 52

NLP ML BERT Computational Linguistics 52

deepsense.ai

NOVEMBER 14, 2023

The first EDS-inducing condition is that, since at least 2022, the GenAI business ecosystem has operated permanently in ‘hyped-economy’ mode [18, 19]. source: The Missing Link in Generative AI | Fiddler AI Blog ]. That’s an entirely different story – one we will tell in the second blog post of this series.

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Generative AI ML Prompt Engineer Prompt Engineering 83

Topbots

JUNE 15, 2023

This article was originally published on the author’s blog and re-published to TOPBOTS with permission from the author. In Findings of the Association for Computational Linguistics: ACL 2022 , pages 2340–2354, Dublin, Ireland. Are All Languages Created Equal in Multilingual BERT? New York: Riverhead Books, 2022 (p.

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Natural Language Processing Computational Linguistics NLP ChatGPT 59

Explosion

MAY 17, 2023

In my opinion the best things to read on this are articles from when the developments were relatively fresh, such as Sebastian Ruder’s 2018 blog post NLP’s ImageNet moment has finally arrived. However, LLMs seem to learn a general ability to continue patterns, including abstract ones, from their language model objective.

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LLM NLP Large Language Models OpenAI 135

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).

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Prompt Engineer Prompt Engineering Deep Learning Large Language Models 78

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. Language models are statistical methods predicting the succession of tokens in sequences, using natural text.

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Large Language Models LLM Machine Learning ML 78

Unite.AI

AUGUST 8, 2023

These advanced AI deep learning models have seamlessly integrated into various applications, from Google's search engine enhancements with BERT to GitHub’s Copilot, which harnesses the capability of Large Language Models (LLMs) to convert simple code snippets into fully functional source codes.

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Generative AI ChatGPT Neural Network Convolutional Neural Networks 243

AWS Machine Learning Blog

FEBRUARY 24, 2023

In November 2022, MMEs added support for GPU s, which allows you to run multiple models on a single GPU device and scale GPU instances behind a single endpoint. We tested two NLP models: bert-base-uncased (109M) and roberta-large (335M). NLP bert-base-uncased 109M PyTorch 26 62% 70 -39% 105 142% 140 29% TensorRT 42.

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BERT NLP Computer Vision Neural Network 87