Sam Witteveen Courses

LangChain Basics Tutorial - LLMs & Prompt Templates with Colab

3 ratings

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
• Self-Paced
• Free Video

Mistral Agents API - The New Agent System

1 rating

Explore Mistral's new Agents API, its agentic capabilities, and how to implement it through examples, cookbook resources, and documentation for building advanced LLM agents.

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

Gemini TTS - Native Audio Out: Using Text-to-Speech for Speech and Dialogue

1 rating

Explore Gemini TTS capabilities for speech generation, including single speaker and multi-speaker podcast demos, with practical examples in Google AI Studio and Colab.

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

Microsoft OmniParser - AI Screen Reading and UI Interaction

1 rating

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

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

DeepSeek R1 Model - Technical Analysis and Implementation Guide

1 rating

Dive into DeepSeek R1's technical architecture, benchmarks, and implementation, with hands-on demonstrations using Colab and practical insights for running distilled versions.

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

Llama 3, CrewAI, and Groq - Building an Email AI Agent

1 rating

Combine Llama3, CrewAI, and Groq to create a fast AI agent for email responses. Learn setup, tools, and implementation in this hands-on tutorial.

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

Fine-Tuning LLMs with PEFT and LoRA

1 rating

Explore efficient fine-tuning of large language models using PEFT and LoRA techniques, with a focus on practical implementation and uploading to HuggingFace Hub.

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

Using LangChain Output Parsers to Get What You Want Out of LLMs

Explore LangChain Output Parsers to enhance LLM results. Learn structured, comma-separated, Pydantic, fixing, and retry parsers for improved model outputs.

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

Improve Your BabyAGI with LangChain

Enhance your AI development skills by learning to create and optimize BabyAGI using LangChain, with step-by-step code explanations and practical demonstrations.

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

LaMini-LM - Mini Models Maxi Data

Explore LaMini-LM: mini language models trained on diverse, large-scale instruction data. Learn about dataset creation, model training, and practical applications through paper analysis and code demonstrations.

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