James Briggs Courses

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

17 reviews

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
• On-Demand
• Free Video

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

2 reviews

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
• On-Demand
• Free Video

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

1 review

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
• On-Demand
• Free Video

Open Source LLM - Falcon 40B Chatbot in LangChain

1 review

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
• On-Demand
• Free Video

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

1 review

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
• On-Demand
• Free Video

Intro to APIs in Python - API Series

1 review

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
• On-Demand
• Free Video

Better Llama with Retrieval Augmented Generation - RAG

1 review

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
• On-Demand
• 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
• On-Demand
• Free Video

LangChain Data Loaders, Tokenizers, Chunking, and Datasets - Data Prep

Learn to prepare text data for LLMs using LangChain tools: data loading, tokenization, chunking, and dataset creation. Practical guide for efficient text processing in AI applications.

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

ChatGPT Plugins - Build Your Own in Python

Learn to build ChatGPT plugins in Python using OpenAI's template. Covers setup, deployment, and integration with ChatGPT, focusing on a retrieval plugin for LangChain documentation.

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

Supercharge eCommerce Search - OpenAI's CLIP, BM25, and Python

Build a multi-modal hybrid search engine for e-commerce using OpenAI's CLIP, BM25, and Python. Learn to process text and image queries, create embeddings, and implement efficient search functionality with Pinecone vector database.

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

Cohere vs. OpenAI Embeddings - Multilingual Search

Explore multilingual semantic search using Cohere's new model, comparing it with OpenAI's GPT 3.5. Learn implementation, data preparation, vector indexing, and query techniques for enhanced search capabilities.

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

Pinecone's New Hybrid Search - The Future of Search?

Explore Pinecone's hybrid search, combining vector and traditional methods for improved relevance and adaptability in semantic search and information retrieval.

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

OpenAI's CLIP for Zero Shot Image Classification

Explore OpenAI's CLIP model for flexible computer vision classification without retraining, enabling generalization to new classes and images beyond initial training data.

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

OpenAI CLIP Explained - Multi-modal ML

Explore OpenAI's CLIP model, bridging text and image understanding. Learn about multi-modal AI, CLIP's functionality, and its applications in encoding, classification, and object detection.

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