John Snow Labs

JUNE 27, 2023

Large language models (LLMs) are precisely that – advanced AI models designed to process, understand, and generate natural language in a way that mimics human cognitive capabilities. BERT excels in understanding context and generating contextually relevant representations for a given text. What are Large Language Models (LLMs)?

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Large Language Models BERT Natural Language Processing NLP 52

Google Research AI blog

FEBRUARY 10, 2023

Robust algorithm design is the backbone of systems across Google, particularly for our ML and AI models. Relative performance results of three GNN variants ( GCN , APPNP , FiLM ) across 50,000 distinct node classification datasets in GraphWorld. Structure of auto-bidding online ads system.

Algorithm 110

Algorithm Neural Network Auto-classification ML 110

AWS Machine Learning Blog

AUGUST 8, 2023

Artificial intelligence (AI) adoption is accelerating across industries and use cases. Recent scientific breakthroughs in deep learning (DL), large language models (LLMs), and generative AI is allowing customers to use advanced state-of-the-art solutions with almost human-like performance.

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BERT Deep Learning Auto-classification Python 97

Mlearning.ai

JUNE 22, 2023

Understanding the biggest neural network in Deep Learning Join 34K+ People and get the most important ideas in AI and Machine Learning delivered to your inbox for free here Deep learning with transformers has revolutionized the field of machine learning, offering various models with distinct features and capabilities.

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Auto-classification Auto-complete BERT Deep Learning 52

AWS Machine Learning Blog

JUNE 12, 2023

GPT-J is an open-source 6-billion-parameter model released by Eleuther AI. 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. 24xlarge, ml.g5.48xlarge, ml.p4d.24xlarge,

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Deep Learning Auto-classification Computer Vision Machine Learning 89

AWS Machine Learning Blog

JANUARY 9, 2023

For example, an image classification use case may use three different models to perform the task. The scatter-gather pattern allows you to combine results from inferences run on three different models and pick the most probable classification model. These endpoints are fully managed and support auto scaling.

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ML Auto-complete Auto-classification Deep Learning 95

Snorkel AI

JANUARY 12, 2023

For text classification, however, there are many similarities. Snorkel Flow’s data-centric AI development loop Programmatic Labeling Programmatic labeling is a method for generating data labels in an automated or semi-automated manner. This may require extensive customization and fine-tuning of the model.

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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

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BERT Large Language Models Natural Language Processing Machine Learning 52

Explosion

JANUARY 31, 2021

de_dep_news_trf German bert-base-german-cased 99.0 95.8 - es_dep_news_trf Spanish bert-base-spanish-wwm-cased 98.2 94.4 - zh_core_web_trf Chinese bert-base-chinese 92.5 Package Language Transformer Tagger Parser NER en_core_web_trf English roberta-base 97.8 94.6 - fr_dep_news_trf French camembert-base 95.7

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NLP Python BERT Auto-classification 52

Google Research AI blog

FEBRUARY 28, 2023

We also support Responsible AI projects directly for other organizations — including our commitment of $3M to fund the new INSAIT research center based in Bulgaria. Similarly, one of our Awards for Inclusion Research led to a faculty member helping startups in Africa use AI.

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Robotics Deep Learning Auto-classification ML 72

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. This leap forward is due to the influence of foundation models in NLP, such as GPT and BERT. Over the years, Meta has released several influential models and tools.

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Convolutional Neural Networks Computer Vision Neural Network Auto-classification 52

Topbots

JUNE 29, 2023

The article is structured according to the following “mental model” of the main elements to consider when planning and building an AI feature: Figure 2: Mental model of an AI feature Let’s start with the end in mind and recap the value — why you would build a Text2SQL feature into your data or analytics product.

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Algorithm Auto-complete Data Scientist Auto-classification 52

AWS Machine Learning Blog

NOVEMBER 22, 2023

Roy from Qualcomm AI. 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. DL2q instances are the first instances to bring Qualcomm’s artificial intelligent (AI) technology to the cloud.

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BERT Deep Learning Python Auto-classification 133

AWS Machine Learning Blog

OCTOBER 23, 2024

It is a family of embedding models with a BERT-like architecture, designed to produce high-quality embeddings from text data. TEI is a high-performance toolkit for deploying and serving popular text embeddings and sequence classification models, including support for FlagEmbedding models. GB, 1,024 embedding dimensions bge-base-en-v1.5:

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