James Briggs Courses

BERTopic Explained

Explore BERTopic, an advanced topic modeling technique using transformers, UMAP, and HDBSCAN. Learn its components, implementation, and customization for organizing unstructured text data effectively.

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

How to Learn NLP for Beginners

Comprehensive guide to self-learning NLP, covering foundational ML concepts, neural networks, modern NLP techniques, and practical projects. Includes curated resources and course recommendations for beginners.

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

Implementing Filters in the New Haystack Doc Store

Explore implementing filters in Haystack's new document store, covering filter utilities, writing and testing filters, and integrating them into the pipeline.

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

Testing the New Haystack Doc Store

Explore Haystack's new document store with hands-on demos covering initialization, document management, QA pipeline, and metadata filtering for efficient information retrieval.

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

Adding New Doc Stores to Haystack

Learn to add new document stores to Haystack, an open-source NLP framework. Explore ODQA, Haystack's QA workflow, and core methods for implementing custom document stores.

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

AugSBERT: Domain Transfer for Sentence Transformers

Learn to transfer knowledge from out-of-domain datasets to your target domain using AugSBERT. Optimize language models with efficient data selection and domain-transfer training strategies for improved performance.

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

Today Unsupervised Sentence Transformers, Tomorrow Skynet - How TSDAE Works

Explore unsupervised fine-tuning for sentence transformers using TSDAE. Learn to train models without labeled data, ideal for domains and languages with limited resources.

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

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

Intro to Dense Vectors for NLP and Vision

Explore dense vector representations in NLP and computer vision, from word2vec to modern transformer models, with practical Python implementations and applications.

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

Best Indexes for Similarity Search in Faiss

Explore composite indexes for optimizing vector similarity search, focusing on IVFADC, Multi-D-ADC, and IVF-HNSW methods in Faiss to balance recall, latency, and memory usage.

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

Build NLP Pipelines with HuggingFace Datasets

Explore HuggingFace Datasets for NLP: Learn to access, load, select, and modify datasets, build efficient pre-processing pipelines, and leverage powerful functions for NLP tasks.

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

How to Build a Bert WordPiece Tokenizer in Python and HuggingFace

Learn to build a custom BERT WordPiece tokenizer in Python using HuggingFace, essential for creating transformer models for specific languages or domains. Includes step-by-step walkthrough and code implementation.

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

Product Quantization for Vector Similarity Search - Python

Learn to compress high-dimensional vectors using product quantization, reducing memory usage by 97% and improving search speeds by 92x. Includes Python implementation and visualization techniques.

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

Choosing Indexes for Similarity Search - Faiss in Python

Explore Faiss indexes for efficient similarity search, comparing Flat, LSH, HNSW, and IVF to optimize performance in large-scale datasets. Learn to choose and implement the best index for your needs.

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

FAISS - Introduction to Similarity Search

Explore efficient similarity search with Facebook AI Similarity Search (FAISS). Learn implementation, options, and how FAISS enhances semantic search speed.

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