Sentence Embedding Courses and Certifications

EuroPython Conference

Representation is King: The Journey to Quality Dialog Embeddings

Explore sentence embeddings in dialog systems, focusing on classification. Learn to fine-tune top-performing small-sized sentence transformers using SentenceTransformers framework with practical examples.

• YouTube
• 27 minutes
• On-Demand
• Free Video

Text Representation Techniques for RAG Systems with Java

Master text representation techniques for RAG systems using Java, from Bag-of-Words to embeddings, with hands-on implementation of semantic search and t-SNE visualization.

• CodeSignal
• 2 hours
• On-Demand
• Free Certificate

Advanced Machine Learning and Deep Learning Projects

250 ratings at Udemy

Text Embedding, Clustering, Classification | Image Clustering, Classification, Text to Image Search

• Udemy
• 5 hours 21 minutes
• On-Demand
• Paid Course

Understanding and Applying Text Embeddings

67 ratings at Coursera

Explore text embeddings for classification, clustering, and semantic search. Learn to build Q&A systems using Vertex AI, combining embeddings with LLM capabilities for enhanced text analysis and applications.

• Coursera
• 1 hour 30 minutes
• On-Demand
• Paid Course

Embedding Models: From Architecture to Implementation

Explore embedding models' evolution, architecture, and implementation. Learn to build and train dual encoders, understand BERT, and apply models in semantic search and RAG pipelines.

• Coursera
• 1 hour 30 minutes
• On-Demand
• Paid Course

Qdrant - Vector Database & Search Engine

Fine-tuning Embedding Models: Sentence Transformers and Emoji Recognition

Discover how to fine-tune embedding models to accurately process emojis and emotional content while maintaining backward compatibility for enhanced social media analysis.

• YouTube
• 44 minutes
• On-Demand
• Free Video

James Briggs

NLP for Semantic Search Course

Master NLP techniques for semantic search and vector databases through dense vectors, sentence transformers, fine-tuning methods, and question-answering systems.

• YouTube
• 9 hours 2 minutes
• On-Demand
• Free Video

James Briggs

Intro to Sentence Embeddings with Transformers

Learn to create and apply sentence embeddings using transformers for semantic similarity tasks, exploring models like BERT and GPT for advanced natural language processing applications.

• YouTube
• 31 minutes
• On-Demand
• Free Video

Pinecone

Supercharging Semantic Search with Pinecone and Cohere

Discover how to enhance semantic search applications using Pinecone and Cohere. Learn to create, index, and utilize sentence embeddings for various use cases through an interactive demonstration.

• YouTube
• 56 minutes
• On-Demand
• Free Video

James Briggs

Fine-Tune Sentence Transformers the OG Way - With NLI Softmax Loss

Explore fine-tuning sentence transformers using NLI softmax loss. Learn preprocessing, PyTorch implementation, and Sentence-Transformers library usage for improved sentence embeddings in NLP applications.

• YouTube
• 37 minutes
• On-Demand
• Free Video

Wolfram

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.

• YouTube
• 18 minutes
• On-Demand
• Free Video

Donato Capitella

RAG Advanced Techniques: Self-Query, Parent Document Retrieval, and HyDE

Dive into advanced RAG techniques including self-query retrieval, parent document strategies, and HyDE implementation, with hands-on labs using Langchain to enhance your LLM development skills.

• YouTube
• 26 minutes
• On-Demand
• Free Video

Graham Neubig

CMU Advanced NLP: Bias and Fairness

Explore types of bias in NLP models, detection techniques, and mitigation strategies for fairer language processing systems.

• YouTube
• 1 hour 16 minutes
• On-Demand
• Free Video

Graham Neubig

CMU Advanced NLP: Pre-training Methods

Explore advanced NLP concepts including multi-task learning, sentence embeddings, BERT variants, and language modeling objectives. Gain insights into cutting-edge techniques for natural language processing.

• YouTube
• 1 hour 22 minutes
• On-Demand
• Free Video

Graham Neubig

CMU Neural Nets for NLP: Model Interpretation

Learn techniques for interpreting neural networks in NLP, including probing sentence embeddings, analyzing model behavior, and generating explanations for model decisions.

• YouTube
• 1 hour 4 minutes
• On-Demand
• Free Video