SBERT Courses and Certifications

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SetFit and SBERT: Zero-Shot Classification with Synthetic Data Sets - Part 47

Discover how to leverage SetFit and SBERT for zero-shot classification by creating and utilizing synthetic data, enhancing performance in both zero-shot and few-shot scenarios.

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

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Node Classification in Heterogeneous Graphs Using PyG and SBERT SentenceTransformers

Master heterogeneous graph analysis using PyG and SBERT for node classification, with hands-on implementation in PyTorch Geometric and practical applications in social networks and cybersecurity.

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

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SETFIT Hyperparameter Optimization for SBERT Text Classification - Part 45

Master SETFIT hyperparameter optimization techniques for efficient text classification using Sentence Transformers, focusing on contrastive training and automated parameter tuning for optimal performance.

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

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SetFit with SBERT for Few-Shot Text Classification - Multi-Class and Multi-Label

Master SetFit and SBERT techniques for efficient few-shot text classification, exploring contrastive training, dense embeddings, and classification head implementation for both multi-class and multi-label scenarios.

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

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SETFIT Few-Shot Learning for SBERT Text Classification - Part 43

Discover how SETFIT's few-shot learning approach revolutionizes text classification, outperforming GPT-3 while using SBERT Sentence Transformers for efficient processing with limited training data.

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

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Train a Domain-Specific BERT Tokenizer Using SBERT - Part 50

Master BERT tokenizer training for scientific domains using SBERT, focusing on byte-pair encoding and specialized pre-training for complex domain-specific knowledge like bio-pharmacological content.

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

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Domain-Specific AI Models - Creating Customized BERT and SBERT Models for Business Applications

Discover how to effectively train and fine-tune BERT and SBERT models for specialized domains, focusing on medical and biochemical terminology, with practical solutions for business applications.

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

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

James Briggs

Vector-Based Methods for Similarity Search - TF-IDF, BM25, SBERT

Explore three vector-based approaches for language comparison and document similarity: TF-IDF, BM25, and Sentence-BERT. Learn key techniques for building effective search engines in AI and machine learning.

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

James Briggs

Making the Most of Data - Augmented SBERT

Explore data augmentation in NLP, focusing on AugSBERT for low-resource domains. Learn techniques to generate and label data automatically, enhancing ML model performance without manual annotation.

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

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Feature Vectors - Understanding BERT and SBERT Transformer Models

Dive into feature vectors and their crucial role in BERT and SBERT transformer models, exploring vectorization techniques, Python implementation, and practical applications in NLP.

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

James Briggs

Vector Similarity Search and Faiss Course

Master vector similarity search techniques and Faiss implementation through hands-on practice with traditional methods, advanced indexing, and performance optimization strategies.

• YouTube
• 6 hours 16 minutes
• On-Demand
• Free Video

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LangChain - Integrating External Documents and SQL with GPT-4

Dive into LangChain's capabilities for integrating external documents and SQL with GPT-4, learning to chain multiple data sources and leverage advanced language models effectively.

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

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Pre-Training BERT from Scratch for Domain-Specific Knowledge Using PyTorch - Part 51

Master BERT model pre-training from scratch using PyTorch, focusing on domain-specific data. Build custom tokenizers, design architecture, and implement masked language modeling for specialized neural information retrieval systems.

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

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Beyond AI Vector Database - Neural Search Implementation with GPT-4 and ChatGPT

Discover how to build a cost-effective neural search system using tokenizers, embedders, and similarity calculations as an alternative to Azure Cognitive Search for domain-specific AI applications.

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