Lê Đức Minhmr8opt.hashnode.dev·Jul 19, 2024KeyBERT: Effortless Keyword ExtractionUncover the Most Important Keywords from Your Text with Ease Introduction While developing the RAG system, I discovered that users typically write vague statements rather than serious inquiries. It is tough for an LLM to understand it, and it is muc...DiscussAI
Venkat Rvenkatr.hashnode.dev·Jun 28, 2024AI in Natural Language Processing: Techniques and ApplicationsNatural Language Processing (NLP) is a rapidly advancing field in AI that focuses on the interaction between computers and humans through natural language. This blog post explores key concepts, techniques, and applications of NLP, along with a look a...Discuss·27 readsmBERT
Kiarash KianiforDataChef's Blogblog.datachef.co·Jun 5, 2024Making Pre-Trained Models More RobustIntroduction In the ever-evolving landscape of machine learning, robustness is essential for building models that perform reliably in real-world scenarios. As models are deployed in diverse environments, they face many challenges, including noisy dat...Discuss·87 readsMachine Learning
NovitaAInovita.hashnode.dev·May 24, 2024Unveiling DistilBERT: Faster &cheaper&Lighter ModelIntroduction DistilBERT is a revolutionary language model that aims to make large-scale language processing more efficient and cost-effective. Developed by Hugging Face, DistilBERT is a distilled version of BERT, a widely used language model that has...DiscussArtificial Intelligence
Wesley Kambalekambale.dev·May 11, 2024Fine-tuning BERT for text classification with KerasNLPIntroduction Text classification is a basic job in natural language processing (NLP) that is used in sentiment analysis, spam detection, and content categorization. Transformer-based models, like BERT (Bi-directional Encoder Representations from Tran...Discuss·7 likes·543 readsMachine Learningfinetuning
Prakhar Kumarprakhartechinsights.hashnode.dev·Apr 11, 2024Understanding BERT and KeyBERT for Keyword Extraction: A Comprehensive Guide with Python Code and ExamplesIn recent years, natural language processing (NLP) has seen remarkable advancements, with models like BERT (Bidirectional Encoder Representations from Transformers) and tools like KeyBERT revolutionizing how we process and understand text. Keyword ex...DiscussNLP Blogs by Prakharkeybert
Prakhar Kumarprakhartechinsights.hashnode.dev·Apr 7, 2024Advanced Text Summarization Techniques in Python: BERT, NLTK, and Gensim ExplainedIntroduction: Text summarization is a crucial task in Natural Language Processing (NLP) that involves condensing large amounts of text into concise summaries while retaining essential information. In this comprehensive guide, we'll explore how to per...DiscussNLP Blogs by PrakharBERT
Prakhar Kumarprakhartechinsights.hashnode.dev·Apr 7, 2024Mastering NLP with BERT: Deep Dive into Usage and Applications in PythonIntroduction: Natural Language Processing (NLP) has seen groundbreaking advancements with the introduction of BERT (Bidirectional Encoder Representations from Transformers). BERT, based on transformer architecture, has redefined how machines understa...DiscussNLP Blogs by PrakharNLP with BERT
Mayank Bohramayankblogs.hashnode.dev·Apr 5, 2024Build your own Transformer Model from Scratch using PytorchIntroduction Transformers are like the superheroes of the computer world, especially when it comes to understanding human language. They're super smart models that can handle tasks like translating languages or summarizing texts. What makes them so s...Discuss·1 like·463 readsDeep Learningllm
Manoharan MRgadzilla.in·Feb 19, 2024Understanding Named Entity Recognition with BERT: A Comprehensive GuideIntroduction: Named Entity Recognition (NER) is a crucial task in natural language processing (NLP) that involves identifying and classifying named entities within a text. Named entities can include various entities such as person names, locations, o...DiscussAI | ML | DL | Gen AIAI