James Briggs Courses

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

27 ratings

Learn to build effective prompts for large language models using instructions, temperature, examples, and external context.

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

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

2 ratings

An introduction to LangChain’s core components and simple text-generation chains using Hugging Face and OpenAI language models.

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

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

2 ratings

Learn how to give stateless large language models conversational memory with LangChain’s buffer, summary, and summary-buffer approaches.

• 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

Build a generative question-answering system in Python that retrieves relevant documents and uses BART to generate source-grounded answers.

• 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 use Python to call REST APIs, interpret HTTP responses and JSON, and work with Google Geocoding and GitHub endpoints.

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

Chatbot with LangChain

Learn to create an open-source chatbot using MPT-30B, a powerful language model, with LangChain. Explore implementation, tokenization, and building a functional chatbot on a single GPU.

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

GPT-4 Function Calling Model

Explore OpenAI's new function calling feature for GPT-4 and GPT-3.5-turbo, enabling chatbots to utilize programming functions as tools. Learn implementation, creation, and practical applications in this tutorial.

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

Chatbots with RAG - LangChain Full Walkthrough

Comprehensive walkthrough on building a chatbot using Retrieval Augmented Generation, covering LangChain, OpenAI's GPT-3.5-turbo, embeddings, and Pinecone vector database for enhanced accuracy and context.

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

Building Chatbot Agents from Scratch with OpenAI Functions

Learn to build a sophisticated chatbot agent using OpenAI's Function Calling, featuring conversational memory, internal thoughts, and tool usage capabilities for GPT-4 and GPT-3.5-Turbo.

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

Nvidia's NeMo Guardrails - Full Walkthrough for Chatbots - AI

Comprehensive walkthrough of Nvidia's NeMo Guardrails library for building safer, more controlled chatbots and AI assistants. Covers implementation, dialogue flows, and practical Python examples.

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

Streaming for LangChain Agents and FastAPI

Learn to implement streaming for LangChain Agents and serve it through FastAPI, covering basics to advanced techniques for efficient LLM integration and deployment.

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

Using MPT-7B in Hugging Face and LangChain

Explore MPT-7B LLM implementation in Hugging Face and LangChain, covering setup, initialization, tokenization, and text generation. Learn to leverage open-source models for AI applications.

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

Hugging Face Agents — First Look

Explore Hugging Face's new LLM Agents: easy-to-use, multi-modal AI tools integrated with HF's vast model hub. Learn implementation, querying, and potential applications in this comprehensive overview.

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