NLP for Beginners
Comprehensive introduction to NLP concepts including tokenization, normalization, stemming, parsing, and more. Ideal for beginners seeking to understand AI-powered language processing fundamentals.
Exogenous and Endogenous Data Augmentation for Low-Resource Complex Named Entity Recognition - Lecture 1
Explore data augmentation techniques for improving complex named entity recognition in low-resource scenarios, enhancing NLP model performance.
MLOps MLFlow: Trabajar con Spacy NLP y Entrenar Modelo NER
Aprende a entrenar un modelo NER personalizado utilizando Spacy y MLflow para optimizar el flujo de trabajo de procesamiento de lenguaje natural.
Scientific Text Mining and Knowledge Graphs - Part 2-1
Explore scientific text mining and knowledge graphs, focusing on phrase mining, named entity recognition, and meta-pattern mining for information extraction in various domains.
MLOps with MLFlow: Working with Spacy NLP and Training NER Models
Explore Spacy NLP models in MLflow and learn to train a custom NER component using your own data for advanced natural language processing tasks.
Build NLP Model with Azure ML AutoML NLP Capability
Learn to build NLP models using Azure ML AutoML for tasks like classification and named entity recognition. Explore multilingual support, data labeling, and distributed training for efficient model development.
AI-Powered Vector Search Engine Weaviate - Introduction and Demo
Explore Weaviate, an AI-powered vector search engine for unstructured data, featuring scalar search, graph connections, and modular architecture for advanced data retrieval.
Model Calibration Techniques for Discriminative and Generative Tasks
Explore techniques for aligning confidence predictions with output probabilities in both discriminative and generative models, from basic classification to advanced TrOCR methods.
AGENTiGraph: Integrating LLM-based Multi-Agent Systems with Knowledge Graphs
Explore how AGENTiGraph combines seven specialized AI agents with knowledge graphs to enhance LLM capabilities, focusing on entity mapping, reasoning, and complex query handling.
Custom Models in No Time - How Active Learning Is Changing AI
Active learning techniques to reduce annotation time and cost for machine learning models, improving efficiency in creating custom AI solutions for tasks like named entity recognition.
From NLP to NLU: Why We Need Varied, Comprehensive, and Stratified Knowledge - Neuro-Symbolic AI
Explore the importance of knowledge in AI systems for improved language understanding, addressing challenges in generative AI, and enhancing neuro-symbolic approaches for safer, more explainable AI.
Training Custom Clinical NER Models with Spark NLP
Learn to train custom clinical Named Entity Recognition models using Spark NLP, exploring advanced techniques for healthcare data extraction and analysis.
CMU Multilingual NLP 2020 - Text Classification and Sequence Labeling
Explore text classification and sequence labeling in multilingual NLP, covering models, datasets, and neural networks for various language processing tasks.
Custom NER with spaCy v3 Tutorial - Named Entity Recognition Tutorial
Learn to build custom Named Entity Recognition models using spaCy v3, including data annotation with free tools and training techniques for improved NLP applications.
Conversational Agents
Explore intent classification, named entity recognition, and neural text generation in dialogue systems, focusing on challenges and advancements in conversational AI.
The AI Trinity - Data + Algorithms + Infrastructure
Explore the AI trinity: data, algorithms, and infrastructure. Learn about named entity recognition, active learning, crowdsourcing, data augmentation, and neural rendering models.
Conversational AI with Jarvis - Checking Out the API
Explore NVIDIA Jarvis API for end-to-end conversational AI, including text-to-speech, speech-to-text, and named entity recognition. Learn installation, setup, and practical applications.
Spark NLP - State-of-the-Art Natural Language Processing at Scale
Discover scalable NLP techniques using Apache Spark, covering core algorithms, BERT embeddings, and multi-lingual challenges. Learn to build efficient pipelines for various NLP tasks through practical demonstrations.
Advanced Natural Language Processing with Apache Spark NLP
Explore advanced NLP tasks using Apache Spark NLP, covering classification, named entity recognition, sentiment analysis, and more through hands-on Python notebooks and deep learning techniques.
Resolving Identities - The Nexus Between Entities and Knowledge
Explore advanced techniques in entity resolution, identity matching, and knowledge base enrichment using context-driven approaches for accurate named entity recognition across diverse sources.
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.