Sam Witteveen Courses

LangChain Basics Tutorial - LLMs & Prompt Templates with Colab

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Learn to build applications with LLMs using LangChain, covering prompt templates, LLM setup, and chain creation. Gain practical insights through code examples and explore advanced techniques like few-shot prompting.

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

Mastering Custom Tools for LLMs: Enhancing AI Agent Functionality

Explore custom tools for AI agents, enhancing functionality and building effective LLM agents. Learn tool categories, implementation strategies, and best practices for optimal performance.

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

Agent-S: Understanding GUI Agents and Their Components

Explore the mechanics of GUI agents through Agent-S, examining hierarchical planning, memory systems, and computer interfaces for enhanced agent interactions.

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

Improving Gemini Responses with Google Search Access Integration

Discover how to enhance Gemini's responses by integrating Google search capabilities through AI Studio's platform, featuring practical demonstrations and implementation techniques.

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

Microsoft OmniParser - AI Screen Reading and UI Interaction

Discover how OmniParser enables AI agents to interpret and interact with user interfaces through advanced screen reading and LLM integration capabilities.

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

Introducing Swarm: OpenAI's Groundbreaking Agent Framework with Code Examples

Explore OpenAI's Swarm framework through code examples, learning concepts and applications for multi-agent systems. Gain insights into routines, agent handoffs, context injection, and function calling.

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

Understanding Microsoft's Magnetic-One: A Generalist Multi-Agent AI System

Explore Microsoft's Magentic-One system, a generalist multi-agent framework that tackles complex tasks through unified code and prompts, with practical demonstrations and architectural insights.

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

LLaMA2 for Multilingual Fine Tuning

Explore multilingual fine-tuning capabilities of LLaMA2 and other language models, comparing performance and discussing implications for cross-lingual NLP tasks.

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

Understanding ReACT with LangChain

Explore ReACT framework implementation using LangChain, covering its principles, manual application, and integration for enhanced AI reasoning and task-solving capabilities.

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

Camel + LangChain for Synthetic Data & Market Research

Explore Camel project for synthetic data creation and market research using AI agents. Learn implementation techniques and practical applications through demonstrations and code examples.

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

How to Run LLaMA-2-70B on the Together AI

Learn to run LLaMA-2-70B on Together AI's platform. Explore the API, playground, and documentation. Gain hands-on experience with code implementation for this powerful language model.

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

Fine-Tuning Palm 2 and Creating Datasets - How-To Guide

Learn to fine-tune Palm 2 models and create custom datasets for improved AI performance. Explore Vertex AI, dataset creation, and model tuning techniques.

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

Testing Starcoder for Reasoning with PAL

Explore StarCoder's reasoning capabilities and compatibility with PAL Chain in LangChain through demonstrations, code examples, and practical tests.

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

StarCoder - The LLM to Make You a Coding Star

Explore StarCoder's advanced code generation capabilities, including continuous coding and gap-filling. Learn about its applications, versions, and impressive 8,000-token sequence length for enhanced coding assistance.

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

LangChain + Retrieval Local LLMs for Retrieval QA - No OpenAI

Explore LangChain for retrieval QA using local language models like Flan T5-XL, FastChat-T5, StableVicuna, and WizardLM, without relying on OpenAI services.

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