James Briggs Courses

How to Build TensorFlow Pipelines with tf.data.Dataset

Learn to create efficient input pipelines for machine learning using TensorFlow's tf.data.Dataset API, enhancing data processing and model performance.

• YouTube
• 31 minutes
• Self-Paced
• Free Video

Stoic Philosophy Text Generation with TensorFlow

Learn to build a RNN text generator using TensorFlow and Python, focusing on Stoic philosophy texts. Explore key components and techniques for creating AI-generated philosophical content.

• YouTube
• 31 minutes
• Self-Paced
• Free Video

Scraping ArXiv Papers with OpenAI's GPT 3.5 - AI Assistant

Learn to build an AI research assistant that scrapes ArXiv papers using GPT-3.5, transforming messy references into a clean format for efficient information extraction and graph-based paper organization.

• YouTube
• 15 minutes
• Self-Paced
• Free Video

GPT-4 - Hands on With the API

Explore GPT-4's capabilities, compare it with ChatGPT, and learn to use the OpenAI Python API. Discover token limits, coding applications, and why GPT-4 is a significant advancement in AI technology.

• YouTube
• 18 minutes
• Self-Paced
• Free Video

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
• Self-Paced
• 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
• Self-Paced
• 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
• Self-Paced
• 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
• Self-Paced
• 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
• Self-Paced
• 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
• Self-Paced
• 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
• Self-Paced
• 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
• Self-Paced
• 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
• Self-Paced
• 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
• Self-Paced
• 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
• Self-Paced
• Free Video