James Briggs Courses

Prompt Engineering with OpenAI's GPT-3 and Other LLMs

25 ratings

Learn effective prompt engineering techniques for GPT-3 and other LLMs. Explore anatomy, temperature, few-shot training, external information, and context windows to enhance AI-generated outputs.

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

Getting Started with GPT-3 vs. Open Source LLMs - LangChain

2 ratings

Introduction to LangChain framework for building apps with large language models, comparing GPT-3 and open-source alternatives, and exploring key components for advanced NLP applications.

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

Chatbot Memory for Chat-GPT, Davinci + Other LLMs - LangChain

2 ratings

Explore chatbot memory implementation in LangChain, including Conversation Chain, Summary Memory, and Buffer Window Memory. Learn to enhance AI conversations with context retention.

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

Open Source Generative AI in Question-Answering - NLP Using Python

1 rating

Learn to build a generative question-answering system using open-source AI and Python. Covers architecture, data preprocessing, embedding, indexing, and querying with BART for multi-sentence answers to open-ended questions.

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

Open Source LLM - Falcon 40B Chatbot in LangChain

1 rating

Learn to create a chatbot and conversational agent using Falcon 40B, the top open-source LLM, with Hugging Face Transformers and LangChain. Explore code generation, refactoring, and agent capabilities.

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

Intro to APIs in Python - API Series

1 rating

Learn to interact with web APIs using Python, covering essentials like JSON, requests, and real-world examples with Google Geocoding and GitHub APIs.

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

Better Llama with Retrieval Augmented Generation - RAG

1 rating

Learn to enhance Llama 2 using Retrieval Augmented Generation (RAG). Build a pipeline with Pinecone, Llama 2 13B, and integrate it using Hugging Face and LangChain for improved, up-to-date language model performance.

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

Chatbot with LangChain Agents + GPT 3.5

Learn to build a conversational agent using LangChain and GPT-3.5, leveraging vector search retrieval to provide context from Lex Fridman's podcast for intelligent responses.

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