Build on your foundation in Large Language Models (LLMs) with practical techniques for improving data quality, fine-tuning, and deploying NLP models. This course focuses on hands-on experience with LLM DataStudio and H2O LLM Studio, guiding you through dataset preparation, model customization, and evaluation. Explore advanced topics like quantization and LoRA to optimize model performance for real-world applications. Designed for learners with prior exposure to LLMs, this course helps deepen your understanding and awards you a certification upon completion.

 

What you'll learn

  • Importance of Clean Data for NLP
    Understand why data quality matters and how to prepare datasets for reliable NLP models.
  • Hands-On with LLM DataStudio
    Learn to navigate workflows, customize interfaces, and set up projects in LLM DataStudio.
  • Fine-Tuning Techniques
    Use H2O LLM Studio to fine-tune models, apply data augmentation, and choose pre-trained architectures.
  • QnA Dataset Preparation
    Create and validate datasets for question-answering tasks with quality checks and review processes.
  • Model Compression Essentials
    Apply quantization and LoRA to reduce model size while maintaining performance for deployment.
  • Automation with Workflow Builder
    Utilize the Workflow Builder in LLM DataStudio to streamline NLP tasks and projects.

Course Playlist on YouTube

Advanced LLM Techniques: LLMs Level 2 Course | Teaser
Advanced LLM Techniques: LLMs Level 2 Course | Teaser

#ailearning #tutorial

Course Teaser - Advanced Techniques in LLMs Level 2
Course Teaser - Advanced Techniques in LLMs Level 2

Elevate your expertise in Large Language Models with this LLMs Level 2 advanced course. Focusing on data quality, model fine-tuning, and efficient ...

Mastering Data Prep for Enhanced Language Model Performance
Mastering Data Prep for Enhanced Language Model Performance

Welcome to our LLM Learning Path! We've explored language models' foundations and now, we're diving into data prep's importance.

Key Functions in Language Model Data Preparation!
Key Functions in Language Model Data Preparation!

In this video you are going to maximize the language model performance with Data Preparation! Explore key functions like data augmentation, text cl...

LLM DataStudio: Streamline Language Model Data Prep!
LLM DataStudio: Streamline Language Model Data Prep!

LLMs are revolutionizing natural language processing, but harnessing their full potential requires meticulous data preparation. That's where LLM Da...

LLM DataStudio Interface & Curation Automation
LLM DataStudio Interface & Curation Automation

🔥 Welcome to LLM DataStudio! Your gateway to streamlined data preparation for Large Language Models (LLMs)!

Mastering LLM Data Preparation with LLM DataStudio: A Step-by-Step Guide
Mastering LLM Data Preparation with LLM DataStudio: A Step-by-Step Guide

In this recording, hosted by Andreea Turcu, Head of Global Training, we have delve into the critical role of data preparation in LLM fine-tuning.

LLM DataStudio: Projects & Workflow Mastery
LLM DataStudio: Projects & Workflow Mastery

Welcome to our module on LLM DataStudio's Workflow Builder! 📊

LLM DataStudio: Prepping Q&A Datasets
LLM DataStudio: Prepping Q&A Datasets

Welcome back to our YouTube channel! In this video, we'll show you how to create a question-answering dataset preparation using LLM DataStudio. 📊🤖

Fine-Tuning Principles for Large Language Models
Fine-Tuning Principles for Large Language Models

🚀 Welcome back to our LLM Learning Path with h2o.ai, we're diving deeper into Large Language Models (LLMs) concepts and practical applications.

Synthetic Datasets and Language Model Backbones
Synthetic Datasets and Language Model Backbones

📊 Join us as we explore the concepts of Synthetic Datasets and Language Model Backbones in this engaging video! 🤖

Fine-Tuning with Quantization and LoRA
Fine-Tuning with Quantization and LoRA

In this course, you'll dive into the theory behind quantization and LoRA principles 📚.

LLM Optimization - Techniques and Insights
LLM Optimization - Techniques and Insights

In this course, you'll discover the key facets of Large Language Model optimization.

A Journey through H2O.ai's LLM Studio
A Journey through H2O.ai's LLM Studio

Take a look at our H2O LLM Studio GitHub Repository, which offers a framework and graphical user interface (GUI) for easily customizing LLMs: https...

Deploying LLM Models with H2O LLM Studio
Deploying LLM Models with H2O LLM Studio

Welcome back to our channel!

 

Quiz Me if You Can!

 headshot

Andreea Turcu, Head of Global Training

Andreea is a data scientist with over 7 years of experience in demystifying AI and Data Science concepts for anyone keen on working in this exciting field using cutting-edge technology. Having obtained a Master’s Degree in Quantitative Economics and Econometrics from Lumière Lyon 2 University, she enjoys integrating machine learning principles with real-world applications. Andreea’s passion lies in developing engaging training programs and ensuring an optimal customer education journey. As she frequently likes to remark, “AI is essentially Economics turbocharged by data, with a sprinkle of innovation.”

You can view her LinkedIn profile HERE.