James Briggs Courses

OpenAI GPT 3.5 AI Assistant With Langchain + Pinecone

Build an AI research assistant using OpenAI GPT-3.5, Langchain, and Pinecone to analyze arXiv papers, YouTube content, and articles, enhancing understanding of AI, NLP, and vector search topics.

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

LLM Chains Using GPT-3.5 and Other LLMs - LangChain

Explore LangChain chains, focusing on LLMChain and utility chains. Learn to build advanced applications with Large Language Models for chatbots, question-answering, and summarization.

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

Generative AI and Long-Term Memory for LLMs

Explore generative AI and long-term memory for LLMs, focusing on Generative Question-Answering systems and retrieval augmentation techniques to enhance AI capabilities.

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

Cohere AI's LLM for Semantic Search in Python

Learn to implement semantic search using Cohere's LLM for generating embeddings and Pinecone for vector indexing. Explore practical applications in NLP and efficient text data search.

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

OpenAI's New GPT 3.5 Embedding Model for Semantic Search

Learn to use OpenAI's new embedding model for semantic search, including API integration, vector indexing with Pinecone, and implementing search queries for NLP applications.

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

NER Powered Semantic Search in Python

Learn to implement NER-powered semantic search in Python using Transformers, Sentence Transformers, and Pinecone. Explore dataset preparation, entity creation, embedding generation, and querying techniques for efficient information retrieval.

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

Hugging Face Datasets - Adding Images

Learn to add images to Hugging Face datasets using Python, covering tar file creation, dataset builder scripts, and best practices for efficient image handling in machine learning projects.

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

How to Learn a Lot

Discover effective strategies for continuous learning without burnout, maximizing personal growth and adaptability in the modern world.

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

Hugging Face Just Released Diffusers - For Models Like DALL-E 2 and Imagen

Explore Hugging Face's new Diffusers library for accessible, open-source image generation using advanced AI models like DALL-E 2 and Imagen.

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

How to Build Next-Level Q&A With OpenAI

Explore building advanced Q&A systems using OpenAI and Pinecone, leveraging vector search and embeddings for enhanced information retrieval and generation capabilities.

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

How to Learn Data Science, ML, Programming

Explore effective strategies for mastering data science, machine learning, and programming, including balancing theory and practice, project-based learning, open-source contributions, and following personal interests.

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

Using Semantic Search to Find GIFs

Learn to build a GIF search engine using semantic search, exploring data preparation, vector databases, and querying techniques for more accurate and context-aware results.

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

GPU-Acceleration for PyTorch on M1 Macs - Using with BERT

Explore GPU acceleration for PyTorch on M1 Macs, including installation, implementation with BERT, and best practices for training large language models on Mac hardware.

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

Streamlit for ML - Custom React Components in Streamlit Setup

Learn to create custom React components in Streamlit for machine learning applications, focusing on an interactive card component using Material UI design elements.

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

Streamlit for ML - ML Models and APIs

Learn to build ML-oriented web apps with Streamlit, focusing on creating a general knowledge Q&A interface. Covers key components, external libraries, and caching for improved performance.

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