Trelis Research Courses

Distillation of Transformer Models - Tutorial and Code Walk-through

Learn advanced techniques for distilling transformer models, including pruning, fine-tuning, and performance evaluation. Gain practical insights through code walkthroughs and real-world examples.

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

An Overly Simple Guide to AI LLM Safety - Comparing Search and GPT Safety

Explore AI safety, comparing traditional search with GPT, understanding LLM training, and evaluating alignment strategies for responsible AI development.

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

LLMs: Understanding Temperature and Context Length of GPT Models

Explore temperature and context length in GPT models to enhance LLM research. Learn how these parameters impact results and gain insights for more effective AI interactions.

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

Chat Fine-Tuning for LLMs - Instruction Format, Datasets, and Implementation

Master LLM instruction fine-tuning techniques, from understanding special tokens to implementing various prompt formats. Gain hands-on experience with datasets and Jupyter lab, culminating in practical chat fine-tuning results.

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

Mistral 7B: Architecture, Evaluation, and Advanced Techniques

Explore Mistral 7B's architecture, performance, and unique features through hands-on tests and evaluations. Gain insights into its capabilities in sequence reversal, code generation, and fine-tuning.

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

TinyLlama: A 1.1B Llama 2 Model - Introduction and Practical Guide

Explore TinyLlama, a compact 1.1B Llama 2 model. Learn its development, Chinchilla optimality, training process, and how to run it in Google Colab and Jupyter. Discover its capabilities and potential applications.

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

Preparing Fine-tuning Datasets with Open Source LLMs

Learn to prepare fine-tuning datasets using open-source LLMs like Llama 2. Explore data preparation scripts, Q&A dataset creation, and API setup for effective model customization.

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

Llama 2 Tokenizer, Padding, and Prompt Format Tutorial

Learn to set up and use the Llama 2 tokenizer, including adding tokens, setting pad and mask tokens, and formatting prompts for single and multi-turn interactions.

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

Fine-tuning Llama 2 for Tone or Style Using Shakespeare Dataset

Fine-tune Llama 2 for Shakespearean style using custom datasets. Learn LoRA, parameter settings, and inference techniques to adapt language models for specific tones or styles.

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

Fine-Tuning GPT-3.5-Turbo - A 7-Step Crash Course

Master GPT-3.5-TURBO fine-tuning in 7 steps. Learn data preparation, cost considerations, job execution, result analysis, and performance evaluation for effective model customization.

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

Running Llama 2 on Windows or Mac with Intel Chip - Installation Guide

Instale y ejecute Llama 2 en Windows o Mac con chip Intel. Aprenda los requisitos de hardware y siga guías paso a paso para la configuración en ambos sistemas operativos.

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

Run Llama 2 on Your Laptop with Jupyter - Installation and Usage Guide

Install and run Llama 2 on your laptop using Jupyter Lab. Learn to set up a virtual environment, download the language model, and start chatting with AI on your local machine.

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

Connecting a Llama 2 Chatbot to the Internet - Search and Custom Functions

Connect a Llama 2 chatbot to the internet, enabling Bing searches and custom function integration for enhanced capabilities like Google searches, paper lookups, and API connections.

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

Improving LLM Accuracy with Monte Carlo Tree Search

Explore Monte Carlo Tree Search to enhance LLM accuracy, focusing on boosting Llama 3 8B performance. Learn implementation, testing, and limitations through code examples and mathematical problem-solving.

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

Top Ten Tips for Fine-tuning Large Language Models

Discover ten essential tips for effective fine-tuning of language models, from starting small to advanced techniques like LoRA and preference tuning. Gain practical insights for optimal results.

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