Sam Witteveen Courses

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

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

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

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

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

LLaMA2 - What Are the Changes?

Explore the advancements in LLaMA2, including new base models, performance comparisons, and insights into its development and deployment on various platforms.

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

LLaMA2 Tokenizer and Prompt Tricks

Explore LLaMA2 tokenizer tricks, prompt engineering techniques, and JSON conversion strategies to enhance your language model interactions and outputs.

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

PaLM 2 Meets LangChain

Explore PaLM-2's integration with LangChain, covering chatbots, information retrieval, and database creation. Learn to leverage these powerful tools for advanced language processing and AI applications.

• YouTube
• 18 minutes
• Self-Paced
• 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
• 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

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

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
• Self-Paced
• Free Video