Large Language Models (LLMs) - Level 2

• Data Quality for NLP Models

Importance of clean data

Data preparation examples
 

• LLM DataStudio for Data Prep

Supported workflows

Interface exploration

Workflow overview and customisation

Quality control techniques

Setting up projects

Collaboration features
 

• QnA Dataset Preparation

Creating QnA datasets

Validation and quality assurance
 

• LLM Fine-Tuning Benefits

• Fine-Tuning with H2O LLM Studio

Introduction to H2O LLM Studio

Fine-tuning workflows

Selecting task-specific data

Data augmentation techniques

Choosing model architectures

Leveraging pre-trained models
 

• Quantisation and LoRA

Model compression techniques
 

• LLM Certification Level 2:

An advanced certification showcasing your expertise in data preparation, fine-tuning, and optimisation of language models. This certification is invaluable for professionals seeking to master the intricacies of language model workflows, enabling them to excel in specialised roles in natural language processing, machine learning, and data engineering.