Analytics Vidhya

SEPTEMBER 1, 2019

The post Here are 7 Data Science Projects on GitHub to Showcase your Machine Learning Skills! Overview Working on Data Science projects is a great way to stand out from the competition Check out these 7 data science projects on. appeared first on Analytics Vidhya.

Data Science 308

Data Science Machine Learning BERT NLP 308

Towards AI

JANUARY 29, 2025

Generative AI is powered by advanced machine learning techniques, particularly deep learning and neural networks, such as Generative Adversarial Networks (GANs) and Variational Autoencoders (VAEs). Roles like AI Engineer, Machine Learning Engineer, and Data Scientist are increasingly requiring expertise in Generative AI.

AI Engineer 98

AI Engineer Generative AI Neural Network BERT 98

Towards AI

OCTOBER 29, 2024

Dive into the world of NLP and learn how to analyze emotions in text with a few lines of code! That’s a bit like what BERT does — except instead of people, it reads text. BERT, short for Bidirectional Encoder Representations from Transformers, is a powerful machine learning model developed by Google.

BERT 119

BERT NLP Machine Learning AI 119

Towards AI

DECEMBER 23, 2024

Photo by Abiyyu Zahy on Unsplash If youre diving into AI and want to understand the secret sauce behind modern language models like ChatGPT or BERT, you need to get familiar with Transformers and their game-changing attention mechanism. Thats kind of what Transformers do in NLP.

BERT 116

BERT NLP ChatGPT AI 116

Unite.AI

OCTOBER 11, 2023

This is particularly useful for applications like machine learning , where data points (such as images or text) can be represented as vectors in multi-dimensional spaces. Scalable for Large Datasets : As AI and machine learning applications continue to grow, so does the amount of data they process.

Generative AI 293

Generative AI BERT NLP AI 293

Towards AI

OCTOBER 19, 2024

Photo by Amr Taha™ on Unsplash In the realm of artificial intelligence, the emergence of transformer models has revolutionized natural language processing (NLP). In this guide, we will explore how to fine-tune BERT, a model with 110 million parameters, specifically for the task of phishing URL detection.

BERT 105

BERT Natural Language Processing Deep Learning Machine Learning 105

AWS Machine Learning Blog

MAY 15, 2024

ONNX is an open source machine learning (ML) framework that provides interoperability across a wide range of frameworks, operating systems, and hardware platforms. You can see that for the BERT, RoBERTa, and GPT2 models, the throughput improvement is up to 65%. for the same fp32 model inference. for the same model inference.

NLP 125

NLP BERT Natural Language Processing Python 125

Towards AI

OCTOBER 31, 2024

A Complete Guide to Embedding For NLP & Generative AI/LLM By Mdabdullahalhasib This article provides a comprehensive guide to understanding and implementing vector embedding in NLP and generative AI.

LLM 116

LLM NLP BERT Large Language Models 116

Towards AI

SEPTEMBER 5, 2023

Unlocking the Future of Language: The Next Wave of NLP Innovations Photo by Joshua Hoehne on Unsplash The world of technology is ever-evolving, and one area that has seen significant advancements is Natural Language Processing (NLP). A few years back, two groundbreaking models, BERT and GPT, emerged as game-changers.

Natural Language Processing 105

Natural Language Processing BERT NLP AI 105

Analytics Vidhya

APRIL 16, 2024

Introduction Welcome into the world of Transformers, the deep learning model that has transformed Natural Language Processing (NLP) since its debut in 2017. These linguistic marvels, armed with self-attention mechanisms, revolutionize how machines understand language, from translating texts to analyzing sentiments.

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Natural Language Processing NLP Deep Learning BERT 345

AWS Machine Learning Blog

APRIL 4, 2025

They use real-time data and machine learning (ML) to offer customized loans that fuel sustainable growth and solve the challenges of accessing capital. This approach combines the efficiency of machine learning with human judgment in the following way: The ML model processes and classifies transactions rapidly.

Auto-classification 74

Auto-classification BERT Machine Learning AI 74

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. The chart below shows 20 in-demand skills that encompass both NLP fundamentals and broader data science expertise.

NLP 111

NLP Data Science Deep Learning BERT 111

Marktechpost

JANUARY 10, 2024

BERT is a language model which was released by Google in 2018. As such, it has been the powerhouse of numerous natural language processing (NLP) applications since its inception, and even in the age of large language models (LLMs), BERT-style encoder models are used in tasks like vector embeddings and retrieval augmented generation (RAG).

BERT 126

BERT Large Language Models Natural Language Processing NLP 126

Towards AI

JUNE 12, 2024

Both BERT and GPT are based on the Transformer architecture. Word embedding is a technique in natural language processing (NLP) where words are represented as vectors in a continuous vector space. This facilitates various NLP tasks by providing meaningful word embeddings. This piece compares and contrasts between the two models.

BERT 104

BERT Neural Network Natural Language Processing NLP 104

AWS Machine Learning Blog

JANUARY 19, 2024

In this post, we demonstrate how to use neural architecture search (NAS) based structural pruning to compress a fine-tuned BERT model to improve model performance and reduce inference times. First, we use an Amazon SageMaker Studio notebook to fine-tune a pre-trained BERT model on a target task using a domain-specific dataset.

BERT 114

BERT Automation Neural Network Machine Learning 114

Towards AI

FEBRUARY 10, 2025

Labeling the wellness dimensions requires a clear understanding of social and psychological factors; we have invited an expert panel, including a clinical psychologist, rehabilitation counselor, and social NLP researcher. This indicates that they can accurately portray the complexity of multiple dimensions in social media language.

Data Science 91

Data Science BERT Categorization Large Language Models 91

IBM Journey to AI blog

MARCH 27, 2024

In recent years, remarkable strides have been achieved in crafting extensive foundation language models for natural language processing (NLP). These innovations have showcased strong performance in comparison to conventional machine learning (ML) models, particularly in scenarios where labelled data is in short supply.

ESG 238

ESG Categorization Large Language Models NLP 238

Unite.AI

DECEMBER 1, 2023

Machine learning , a subset of AI, involves three components: algorithms, training data, and the resulting model. An algorithm, essentially a set of procedures, learns to identify patterns from a large set of examples (training data). The culmination of this training is a machine-learning model.

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LLM Machine Learning Explainability Algorithm 261

Marktechpost

MAY 30, 2024

Google plays a crucial role in advancing AI by developing cutting-edge technologies and tools like TensorFlow, Vertex AI, and BERT. It helps data scientists, AI developers, and ML engineers enhance their skills through engaging learning experiences and practical exercises.

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Artificial Intelligence Artificial Intelligence BERT Computer Vision 130

Flipboard

JUNE 20, 2023

Machine learning (ML) engineers have traditionally focused on striking a balance between model training and deployment cost vs. performance. Training experiment: Training BERT Large from scratch Training, as opposed to inference, is a finite process that is repeated much less frequently.

Machine Learning 123

Machine Learning BERT Deep Learning ML Engineer 123

Towards AI

OCTOBER 18, 2024

How Retrieval-Augmented Generation (RAG) Can Boost NLP Projects with Real-Time Data for Smarter AI Models This member-only story is on us. With models like GPT-3 and BERT, it feels like we’re able to do things that were once just sci-fi dreams, like answering complex questions and generating all kinds of content automatically.

NLP 111

NLP Natural Language Processing BERT ChatGPT 111

Towards AI

JULY 21, 2023

Photo by adrianna geo on Unsplash NATURAL LANGUAGE PROCESSING (NLP) WEEKLY NEWSLETTER NLP News Cypher | 08.23.20 If you haven’t heard, we released the NLP Model Forge ? NLP Model Forge So… the NLP Model Forge, a collection of 1,400 NLP code snippets that you can seamlessly select to run inference in Colab!

NLP 98

NLP BERT Deep Learning Natural Language Processing 98

Towards AI

JULY 21, 2023

Ivan Aivazovsky — Istanbul NATURAL LANGUAGE PROCESSING (NLP) WEEKLY NEWSLETTER NLP News Cypher | 09.06.20 nlp("Transformers and onnx runtime is an awesome combo!") ") GitHub: patil-suraj/onnx_transformers Accelerated NLP pipelines for fast inference ? Revival Welcome back, and what a week?!?!

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NLP Neural Network BERT Natural Language Processing 97

Lexalytics

JULY 12, 2023

We’ve pioneered a number of industry firsts, including the first commercial sentiment analysis engine, the first Twitter/microblog-specific text analytics in 2010, the first semantic understanding based on Wikipedia in 2011, and the first unsupervised machine learning model for syntax analysis in 2014.

NLP 98

NLP Text Analytics Natural Language Processing BERT 98

Unite.AI

JULY 11, 2023

Introduction To Generative AI Image Source Course difficulty: Beginner-level Completion time: ~ 45 minutes Prerequisites: No What will AI enthusiasts learn? What is Generative Artificial Intelligence, how it works, what its applications are, and how it differs from standard machine learning (ML) techniques.

Generative AI 189

Generative AI BERT Natural Language Processing Large Language Models 189

Marktechpost

JUNE 4, 2024

Keras is a widely used machine learning tool known for its high-level abstractions and ease of use, enabling rapid experimentation. Recent advances in CV and NLP have introduced challenges, such as the prohibitive cost of training large, state-of-the-art models. Access to open-source pretrained models is crucial.

Machine Learning 87

Machine Learning NLP Natural Language Processing BERT 87

Mlearning.ai

APRIL 8, 2023

Charting the evolution of SOTA (State-of-the-art) techniques in NLP (Natural Language Processing) over the years, highlighting the key algorithms, influential figures, and groundbreaking papers that have shaped the field. Evolution of NLP Models To understand the full impact of the above evolutionary process.

NLP 98

NLP Neural Network Natural Language Processing Convolutional Neural Networks 98

IBM Journey to AI blog

AUGUST 1, 2023

It’s the underlying engine that gives generative models the enhanced reasoning and deep learning capabilities that traditional machine learning models lack. They can also perform self-supervised learning to generalize and apply their knowledge to new tasks. An open-source model, Google created BERT in 2018.

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Generative AI Data Scientist Machine Learning BERT 176

Heartbeat

MARCH 15, 2023

But now, a computer can be taught to comprehend and process human language through Natural Language Processing (NLP), which was implemented, to make computers capable of understanding spoken and written language. This article will explain to you in detail about RoBERTa and if you do not know about BERT please click on the associated link.

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BERT NLP Deep Learning Neural Network 52

Topbots

APRIL 11, 2023

We’ll start with a seminal BERT model from 2018 and finish with this year’s latest breakthroughs like LLaMA by Meta AI and GPT-4 by OpenAI. BERT by Google Summary In 2018, the Google AI team introduced a new cutting-edge model for Natural Language Processing (NLP) – BERT , or B idirectional E ncoder R epresentations from T ransformers.

NLP 98

NLP BERT Large Language Models Natural Language Processing 98

Towards AI

JULY 20, 2023

It’s also an area that stands to benefit most from automated or semi-automated machine learning (ML) and natural language processing (NLP) techniques. Semi) automated data extraction for SLRs through NLP Researchers can deploy a variety of ML and NLP techniques to help mitigate these challenges.

Data Extraction 98

Data Extraction NLP Natural Language Processing Automation 98

Unite.AI

AUGUST 2, 2023

Machine learning models have heavily relied on labeled data for training, and traditionally speaking, training models on labeled data yields accurate results. To tackle the annotation issue, developers came up with the concept of SSL or Self Supervised Learning. They require a high amount of computational power.

Computer Vision 246

Computer Vision Algorithm Natural Language Processing Convolutional Neural Networks 246

Towards AI

JULY 21, 2023

Photo by Kunal Shinde on Unsplash NATURAL LANGUAGE PROCESSING (NLP) WEEKLY NEWSLETTER NLP News Cypher | 08.09.20 What is the state of NLP? CryptoHack – Home A fun platform to learn about cryptography through solving challenges and cracking insecure code. Forge Where are we? Are we anywhere where we want to be?

NLP 98

NLP Auto-complete Natural Language Processing BERT 98

Towards AI

SEPTEMBER 1, 2023

We’ll delve deep into its workings and explore its most celebrated offspring: BERT, GPT, and T5. From writing coherent essays to understanding intricate nuances in diverse languages, they’re reshaping our interaction with machines. This is the kind of contextual understanding that BERT brings to the table.

BERT 111

BERT Artificial Intelligence Artificial Intelligence AI 111

Unite.AI

JANUARY 22, 2024

Synthetic data , artificially generated to mimic real data, plays a crucial role in various applications, including machine learning , data analysis , testing, and privacy protection. However, generating synthetic data for NLP is non-trivial, demanding high linguistic knowledge, creativity, and diversity.

NLP 167

NLP BERT Data Scarcity Large Language Models 167

Snorkel AI

DECEMBER 27, 2023

While large language models (LLMs) have claimed the spotlight since the debut of ChatGPT, BERT language models have quietly handled most enterprise natural language tasks in production. Additionally, while the data and code needed to train some of the latest generation of models is still closed-source, open source variants of BERT abound.

BERT 52

BERT NLP Data Scientist Large Language Models 52

Snorkel AI

DECEMBER 27, 2023

While large language models (LLMs) have claimed the spotlight since the debut of ChatGPT, BERT language models have quietly handled most enterprise natural language tasks in production. Additionally, while the data and code needed to train some of the latest generation of models is still closed-source, open source variants of BERT abound.

BERT 52

BERT NLP Data Scientist Large Language Models 52