James Briggs Courses

How to Build a Q&A AI in Python - Open-Domain Question-Answering

Learn to build an open-domain question-answering AI in Python, covering retriever training, fine-tuning, evaluation, vector database setup, and querying techniques for natural language interfaces.

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

SPLADE - The First Search Model to Beat BM25

Explore SPLADE, a groundbreaking sparse embedding model for AI-powered search. Learn its advantages over traditional methods, implementation techniques, and potential future developments in vector search technology.

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

Prompt Templates for GPT-3.5 and Other LLMs - LangChain

Learn to create effective prompts for language models using LangChain's PromptTemplates and FewShotPromptTemplates. Explore example selectors and best practices for prompt engineering in this hands-on tutorial.

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

Generative Question-Answering with OpenAI's GPT-3.5 and Davinci

Explore generative question-answering using OpenAI's GPT-3.5 and Davinci. Learn about app creation, architecture, data indexing, querying, and answer generation in this AI-powered approach.

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

Table Question-Answering with TAPAS in Python

Learn to implement table question-answering using TAPAS in Python, covering retrieval pipelines, dataset preprocessing, and advanced aggregation queries with Hugging Face transformers and Pinecone vector database.

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

Hugging Face Datasets - Dataset Builder Scripts for Beginners

Learn to create and manage dataset builder scripts for Hugging Face, including download management, Apache Arrow datatypes, and integration with popular machine learning frameworks for efficient model training and fine-tuning.

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

Hugging Face Datasets - Hosting Your Datasets for Beginners

Learn to host and manage datasets on Hugging Face, including creating JSONL files, uploading to Git, and handling large files with LFS. Perfect for beginners looking to share and collaborate on datasets.

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

Intro to Multi-Modal ML with OpenAI's CLIP

Explore OpenAI's CLIP for multi-modal machine learning, combining text and image understanding. Learn to create embeddings, perform similarity searches, and leverage CLIP's capabilities using Hugging Face.

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

How to Build an AI-Powered Video Search App

Learn to build an AI-powered video search app using YouTube data, Pinecone, and Streamlit. Covers data collection, enhancement, indexing, and querying, with practical code examples and implementation steps.

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

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