Google Research AI blog

FEBRUARY 10, 2023

Robust algorithm design is the backbone of systems across Google, particularly for our ML and AI models. Google Research has been at the forefront of this effort, developing many innovations from privacy-safe recommendation systems to scalable solutions for large-scale ML. You can find other posts in the series here.)

Algorithm 110

Algorithm Neural Network Auto-classification ML 110

AWS Machine Learning Blog

AUGUST 8, 2023

In cases where the MME receives many invocation requests, and additional instances (or an auto-scaling policy) are in place, SageMaker routes some requests to other instances in the inference cluster to accommodate for the high traffic. Then we use a pre-trained BERT (uncased) model from the Hugging Face Model Hub to extract token embeddings.

BERT 97

BERT Deep Learning Auto-classification Python 97

Mlearning.ai

JULY 23, 2023

1️⃣ Autoencoders  — In auto-encoders, the decoder part of the transformer is discarded after pre-training and only the encoder is used to generated the output. The widely popular BERT and RoBERTa models were based on this architecture and performed well on sentiment analysis and text classification .

LLM 52

LLM Auto-classification BERT Large Language Models 52

Mlearning.ai

JUNE 22, 2023

In this article, we will delve into the three broad categories of transformer models based on their training methodologies: GPT-like (auto-regressive), BERT-like (auto-encoding), and BART/T5-like (sequence-to-sequence). Auto Regression is common in more than just Transformers.

Auto-classification 52

Auto-classification Auto-complete BERT Deep Learning 52

AWS Machine Learning Blog

JUNE 12, 2023

It can support a wide variety of use cases, including text classification, token classification, text generation, question and answering, entity extraction, summarization, sentiment analysis, and many more. You can also learn and run sample codes for BERT, GPT-2, and GPT-J on the Amazon SageMaker Examples public repository.

Deep Learning 89

Deep Learning Auto-classification Computer Vision Machine Learning 89

Snorkel AI

JANUARY 12, 2023

For text classification, however, there are many similarities. Snorkel Flow’s “Auto-Suggest Key Terms” feature works on any language with “white-space” tokenization. The following image shows an auto-suggestion from a Spanish Sentiment dataset (“ mucha suerte” translates to “good luck”).

BERT 52

BERT NLP Natural Language Processing Auto-classification 52

DataRobot Blog

FEBRUARY 2, 2023

Then you can use the model to perform tasks such as text generation, classification, and translation. As an example, getting started with a BERT model for question answering (bert-large-uncased-whole-word-masking-finetuned-squad) is as easy as executing these lines: !pip pip install transformers==4.25.1 datarobot==3.0.2

BERT 52

BERT Large Language Models Natural Language Processing Machine Learning 52

Google Research AI blog

FEBRUARY 28, 2023

Adherence to such public health programs is a prevalent challenge, so researchers from Google Research and the Indian Institute of Technology, Madras worked with ARMMAN to design an ML system that alerts healthcare providers about participants at risk of dropping out of the health information program. certainty when used correctly.

Robotics 72

Robotics Deep Learning Auto-classification ML 72

AWS Machine Learning Blog

NOVEMBER 22, 2023

Model category Number of models Examples​ NLP​ 157 BERT, BART, FasterTransformer, T5, Z-code MOE Generative AI – NLP 40 LLaMA, CodeGen, GPT, OPT, BLOOM, Jais, Luminous, StarCoder, XGen Generative AI – Image 3 Stable diffusion v1.5 opt/qti-aic/exec/qaic-exec -m=bert-base-cased/generatedModels/bert-base-cased_fix_outofrange_fp16.onnx

BERT 133

BERT Deep Learning Python Auto-classification 133

AWS Machine Learning Blog

OCTOBER 23, 2024

Have you ever faced the challenge of obtaining high-quality data for fine-tuning your machine learning (ML) models? It is a family of embedding models with a BERT-like architecture, designed to produce high-quality embeddings from text data. Auto scaling helps make sure the endpoint can handle varying workloads efficiently.

Auto-complete 85

Auto-complete Auto-classification Generative AI Artificial Intelligence 85