Transformers are a very powerful Deep Learning model that has been able to become a standard in many Natural Language Processing tasks and is poised to revolutionize the field of Computer Vision as well. It all began in 2017 when Google Brain published the paper destined to change everything, Attention Is All You Need [4]. Researchers apply this new architecture to … [Read more...] about On Transformers, TimeSformers, And Attention
Natural Language Processing
AI Approaches For Text Generation In Marketing & Advertising Use Cases
This research summary is part of our AI for Marketing series which covers the latest AI & machine learning approaches to 5 aspects of marketing automation: AttributionOptimizationPersonalizationAnalyticsContent Generation: ImagesContent Generation: VideosContent Generation: Text Can AI help you write high converting copy for your advertising and marketing … [Read more...] about AI Approaches For Text Generation In Marketing & Advertising Use Cases
To ROUGE Or Not To ROUGE?
In this article, we will learn about … … the difference between extractive and abstractive text summarization. … what the ROUGE score is. … why and where it fails. Text Summarization We refer to text summarization as the process of training an Artificial Intelligence (AI) model to produce a smaller chunk of text out of a bigger chunk of text. Where “smaller … [Read more...] about To ROUGE Or Not To ROUGE?
BERT Inner Workings
I created this notebook to better understand the inner workings of Bert. I followed a lot of tutorials to try to understand the architecture, but I was never able to really understand what was happening under the hood. For me it always helps to see the actual code instead of just simple abstract diagrams that a lot of times don’t match the actual implementation. If you’re like … [Read more...] about BERT Inner Workings
GPT2 For Text Classification Using Hugging Face Transformers
This notebook is used to fine-tune GPT2 model for text classification using Hugging Face transformers library on a custom dataset. Hugging Face is very nice to us to include all the functionality needed for GPT2 to be used in classification tasks. Thank you Hugging Face! I wasn’t able to find much information on how to use GPT2 for classification so I … [Read more...] about GPT2 For Text Classification Using Hugging Face Transformers
Extractive Text Summarization Using Contextual Embeddings
Text Summarization is a process of generating a compact and meaningful synopsis from a huge volume of text. Sources for such text include news articles, blogs, social media posts, all kinds of documentation, and many more. If you are new to NLP and want to read more about text summarization, this article will help you understand the basic and advanced concepts. The … [Read more...] about Extractive Text Summarization Using Contextual Embeddings
Fine-tune Transformers in PyTorch Using Hugging Face Transformers
This notebook is designed to use a pretrained transformers model and fine-tune it on a classification task. The focus of this tutorial will be on the code itself and how to adjust it to your needs. This notebook is using the AutoClasses from transformer by Hugging Face functionality. This functionality can guess a model’s configuration, tokenizer and … [Read more...] about Fine-tune Transformers in PyTorch Using Hugging Face Transformers
Pretrain Transformers Models in PyTorch Using Hugging Face Transformers
This notebook is used to pretrain transformers models using Hugging Face on your own custom dataset. What do I mean by pretrain transformers? The definition of pretraining is to train in advance. That is exactly what I mean! Train a transformer model to use it as a pretrained transformers model which can be used to fine-tune it on a specific … [Read more...] about Pretrain Transformers Models in PyTorch Using Hugging Face Transformers
From Text to Knowledge: The Information Extraction Pipeline
I am thrilled to present my latest project I have been working on. In this blog post, I will present my implementation of an information extraction data pipeline, following my passion for combining natural language processing and knowledge graphs. Later on, I will also explain why I see the combination of NLP and graphs as one of the paths to explainable AI. If this in-depth … [Read more...] about From Text to Knowledge: The Information Extraction Pipeline
Building a Complete AI Based Search Engine with Elasticsearch, Kubeflow and Katib
Building search systems is hard. Preparing them to work with machine learning is really hard. Developing a complete search engine framework integrated with AI is really really hard.
So let’s make one. 
In this post, we’ll build a search engine from scratch and discuss on how to further optimize results by adding a machine learning layer using Kubeflow and Katib. This … [Read more...] about Building a Complete AI Based Search Engine with Elasticsearch, Kubeflow and Katib