James Briggs Courses

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

26 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 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

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

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

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

Fixing LLM Hallucinations with Retrieval Augmentation in LangChain

Learn to enhance LLM accuracy using retrieval augmentation in LangChain. Explore data preprocessing, embedding creation, vector database setup, and generative question-answering with citations for improved AI responses.

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

Create Custom Tools for Chatbots in LangChain

Learn to create custom tools for chatbots using LangChain, enhancing AI capabilities with web search, math, code execution, and image understanding. Explore practical examples and advanced agent techniques.

• YouTube
• 25 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

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

Bag of Visual Words for Image Classification and Retrieval

Learn to build image embeddings using the Bag of Visual Words technique for image retrieval, object detection, and classification in computer vision applications.

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

How to Build a Q&A Reader Model in Python - Open-Domain QA

Learn to build an open-domain question-answering system in Python, covering data preprocessing and model fine-tuning for efficient information retrieval from large datasets.

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