2022, BERT and Metadata - Artificial Intelligence Zone

Unlock the Power of BERT-based Models for Advanced Text Classification in Python

John Snow Labs

JUNE 6, 2023

Text classification with transformers involves using a pretrained transformer model, such as BERT, RoBERTa, or DistilBERT, to classify input text into one or more predefined categories or labels. BERT (Bidirectional Encoder Representations from Transformers) is a language model that was introduced by Google in 2018.

BERT

BERT Python NLP Neural Network

Text-to-Music Generative AI : Stability Audio, Google’s MusicLM and More

Unite.AI

SEPTEMBER 25, 2023

Technical Insights The MusicLM leverages the principles of AudioLM , a framework introduced in 2022 for audio generation. An illustration of the pretraining process of MusicLM: SoundStream, w2v-BERT, and Mulan | Image source: here Moreover, MusicLM expands its capabilities by allowing melody conditioning.

Generative AI

Generative AI Deep Learning Algorithm AI

68 Summaries of Machine Learning and NLP Research

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

Machine Learning NLP Large Language Models LLM

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Scaling Large Language Model (LLM) training with Amazon EC2 Trn1 UltraClusters

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. In this post, we use a Hugging Face BERT-Large model pre-training workload as a simple example to explain how to useTrn1 UltraClusters. run_dp_bert_large_hf_pretrain_bf16_s128.sh"

Large Language Models

Large Language Models LLM BERT Deep Learning

Understanding the Power of Transformers: A Guide to Sentence Embeddings in Spark NLP

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

NLP BERT Natural Language Processing Deep Learning

An Overview of Instruction Tuning Data

Sebastian Ruder

NOVEMBER 15, 2023

With the arrival of pre-trained models such as BERT, fine-tuning pre-trained models for downstream tasks became the norm. 2022 ) : 193k instruction-output examples sourced from 61 existing English NLP tasks. 2022 ) : A crowd-sourced collection of instruction data based on existing NLP tasks and simple synthetic tasks.

NLP

NLP ChatGPT Data Quality OpenAI

The State of Multilingual AI

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

Natural Language Processing NLP Computational Linguistics BERT

Comcast’s data-centric approach to speech interfaces

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

Metadata Machine Learning Deep Learning BERT

Comcast’s data-centric approach to speech interfaces

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

Metadata Machine Learning Deep Learning BERT

All Languages Are NOT Created (Tokenized) Equal

Topbots

JUNE 15, 2023

I additionally use metadata from The World Atlas of Language Structures to obtain information such as language family (e.g. 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.

Natural Language Processing

Natural Language Processing Computational Linguistics NLP ChatGPT

Text Preprocessing: Splitting texts into sentences with Spark NLP

John Snow Labs

JUNE 5, 2023

An annotator takes an input text document and produces an output document with additional metadata, which can be used for further processing or analysis. Let's just peek into the pre-BERT world… For creating models, we need words to be represented in a form n understood by the training network, ie, numbers.

NLP

NLP Natural Language Processing Deep Learning Algorithm

Efficiently Generating Vector Representations of Texts for Machine Learning with Spark NLP and Python

John Snow Labs

MAY 18, 2023

Please check our similar post about “Embeddings with Transformers” for BERT family embeddings. An annotator takes an input text document and produces an output document with additional metadata, which can be used for further processing or analysis. In this post, you will learn how to use word embeddings of Spark NLP.

NLP

NLP Machine Learning Python Algorithm

A review of purpose-built accelerators for financial services

AWS Machine Learning Blog

SEPTEMBER 11, 2024

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. The Inferentia chip became generally available (GA) in December 2019, followed by Trainium GA in October 2022, and Inferentia2 GA in April 2023.

ML

ML Deep Learning Algorithm Large Language Models

Training large language models on Amazon SageMaker: Best practices

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.

Large Language Models

Large Language Models LLM Machine Learning Deep Learning

Zero to Advanced Prompt Engineering with Langchain in Python

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

Prompt Engineer Prompt Engineering Python NLP

Scaling distributed training with AWS Trainium and Amazon EKS

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. For example: apiVersion: eksctl.io/v1alpha5

Deep Learning

Deep Learning BERT Neural Network ML

Architect personalized generative AI SaaS applications on Amazon SageMaker

Flipboard

MARCH 9, 2023

The course toward democratization of AI helped to further popularize generative AI following the open-source releases for such foundation model families as BERT, T5, GPT, CLIP and, most recently, Stable Diffusion. This includes the user ID, model training job ID, and status, along with hyperparameters and metadata associated with training.

Generative AI

Generative AI Deep Learning ML AI

Artificial Intelligence Zone

Unlock the Power of BERT-based Models for Advanced Text Classification in Python

Text-to-Music Generative AI : Stability Audio, Google’s MusicLM and More

Webinars

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68 Summaries of Machine Learning and NLP Research

Webinars

Scaling Large Language Model (LLM) training with Amazon EC2 Trn1 UltraClusters

Understanding the Power of Transformers: A Guide to Sentence Embeddings in Spark NLP

An Overview of Instruction Tuning Data

The State of Multilingual AI

Comcast’s data-centric approach to speech interfaces

Comcast’s data-centric approach to speech interfaces

All Languages Are NOT Created (Tokenized) Equal

Text Preprocessing: Splitting texts into sentences with Spark NLP

Efficiently Generating Vector Representations of Texts for Machine Learning with Spark NLP and Python

A review of purpose-built accelerators for financial services

Training large language models on Amazon SageMaker: Best practices

Zero to Advanced Prompt Engineering with Langchain in Python

Scaling distributed training with AWS Trainium and Amazon EKS

Architect personalized generative AI SaaS applications on Amazon SageMaker

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