Complete Natural Language Processing Machine Learning Tutorial
Comprehensive NLP tutorial covering tokenization, preprocessing, encoding, and word embeddings. Practical implementations and in-depth explanations for beginners and intermediate learners.
Visual Introduction to Transformers and GPTs - Deep Learning Chapter 5
Visual introduction to transformers and GPTs, covering key concepts like word embeddings, deep learning premise, and softmax. Explores the inner workings of these models with clear animations and explanations.
Inside GPT - Large Language Models Demystified
Demystifying GPT algorithms: architecture, inner workings, and practical applications. Explore NLP fundamentals, train models, and learn to leverage ChatGPT and GPT4 for innovative solutions.
What Is ChatGPT Doing and Why Does It Work? - Episode 6
Explore the inner workings of ChatGPT and large language models, from word embedding to sentence generation, with insights on vector representation and randomness in AI-generated text.
Quantifying and Reducing Gender Stereotypes in Word Embeddings
Hands-on exploration of gender biases in word embeddings, quantifying stereotypes, and implementing techniques to reduce bias in natural language processing applications.
Machine Learning Toolbox for Cybersecurity Risk Management
Explore machine learning techniques for cybersecurity risk assessment, including topic modeling, word embedding, and PCA. Learn to identify unknown risks and profile incidents effectively.
The Meaning and Measurement of Bias - Lessons from NLP
Explore the complexities of bias in NLP, covering measurement processes, construct validity, and fairness evaluation. Gain insights into representational harms and practical examples in word embeddings.
Death to the IOC - What's Next in Threat Intelligence
Explore ML-driven automation for cyber threat intelligence, including custom entity extraction and attack pattern identification, moving beyond traditional IOC approaches.
Poetry - Teaching Versification to a Neural Network
Explore poetry generation using neural networks, balancing constraints and expression. Learn techniques to spot and create poetry with minimal assumptions, touching on classical rules and deep learning models.
Attacking Deep Learning-Based NLP Systems
Explore vulnerabilities in deep learning NLP systems, focusing on word embeddings. Learn to manipulate training data and inject into real-world applications, with emphasis on security implications.
Humpty Dumpty - Controlling Word Meanings via Corpus Poisoning
Explore how attackers can manipulate word embeddings through corpus modifications, affecting downstream NLP tasks and fooling defenses. Learn about implications for information retrieval and translation.
NLP in Feedback Analysis
Explore cutting-edge NLP techniques for feedback analysis, including topic detection and sentiment analysis. Learn about word embedding, neural network models, and their real-world applications in text analytics.
Wrangling the World's Biggest Data Set
Explore challenges and solutions in analyzing social media data for business insights, including noise reduction, volume management, and privacy considerations.
I Hate You, NLP
Explore sentiment analysis in Python, from basic semantic mapping to advanced machine learning techniques. Learn pitfalls, see hands-on code, and discover tools for accurate emotion detection in text data.
Un Vector por Tu Palabra
Exploración de representación distribuida de palabras y su aplicación en clasificación de textos de redes sociales, utilizando el ecosistema científico de Python para experimentos replicables.
Why Transformers Work
Explore the inner workings of transformers in machine learning, their advantages over RNNs, and applications in NLP and dialogue handling, with live demos and clear explanations.
An Introduction to Natural Language Generation
Explore natural language generation through real-world examples, deep learning techniques, and transformer models. Learn about word embeddings, BERT, GPT, and practical applications in various domains.
Deep Learning and NLP with Spark
Explore deep learning and NLP using Spark, focusing on LSTM neural networks for complex language tasks. Includes real-time visualizations and Spark Notebook demonstrations.
Automatically Categorizing News Articles on NRK.no
Explore machine learning techniques for automatic news article categorization, including word embeddings, clustering, and supervised learning, with insights on real-world implementation in production environments.
A Practical Approach for Few Shot Learning with SetFit - Haystack EU 2023
Explore SetFit for few-shot learning in classification and ranking, with a focus on legal research applications. Discover its potential to outperform GPT-3 in label-scarce settings.
Discovering Research Ideas Using Semantic Vectors and Machine Learning
Explore semantic vectors and machine learning for research idea discovery, enhancing content discoverability across disciplines using UNSILO's innovative approach to concept extraction and semantic mapping.