Sam Witteveen Courses

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
• Self-Paced
• Free Video

Investigating the Code Llama Models and Fine-Tuned Alternatives

Explore Code Llama models and fine-tuned alternatives, comparing their capabilities, benchmarks, and recent developments in AI-powered coding assistance.

• YouTube
• 18 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

Phi 1.5 - The Small Model Getting Big Results

Explore Phi 1.5, a small yet powerful language model. Learn about its development, capabilities, and potential applications through in-depth analysis and hands-on coding examples.

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

LangChain Expression Language

Explore LangChain Expression Language's features: bindings, OpenAI functions, output parsers, retrievers, tools, and arbitrary functions for enhanced language model interactions.

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

Building a RCI Chain for Agents with LangChain Expression Language

Learn to build a Recursive Criticism and Improvement (RCI) chain for AI agents using LangChain Expression Language. Explore multi-chain implementation and combined chain approaches for enhanced agent performance.

• YouTube
• 18 minutes
• Self-Paced
• 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
• 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

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

Program-Aided Language Models with LangChain

Explore Program-aided Language Models implementation in LangChain, featuring code walkthrough, examples, and practical applications for enhanced language model performance.

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

Trying Out Flan 20B with UL2 - Working in Colab with 8-Bit Inference

Explore Flan-UL2 20B model in Google Colab using 8-bit inference. Learn about zero-shot capabilities, chain-of-thought prompting, and practical applications in various NLP tasks.

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

LangChain Basics Tutorial - Tools and Chains

Explore LangChain's Tools and Chains: utility functions, basic chains, chaining, PAL Math, and API tools. Learn to develop applications using these powerful components.

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

PaLM2 from Scratch

Explore Google's PaLM2 AI model: improvements, specialized versions, and practical applications in the Vertex AI platform. Hands-on demonstrations of various prompting techniques and code examples included.

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

Explaining OpenAI's O1 Reasoning Models - Analysis and Demonstration

Explore OpenAI's o1 models: their reasoning capabilities, trade-offs, and performance in various tasks. Includes demos and pricing information for practical understanding.

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

CrewAI August Update: Planning Steps, Training, and Advanced Features - Explained

Explore CrewAI's latest updates: enhanced planning, agent training, and advanced features for improved AI performance. Practical demo and code examples included.

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