Instruction-Tuning Courses and Certifications

Center for Language & Speech Processing(CLSP), JHU

Instruction Tuning of Large Language Models - Lecture

Explore instruction tuning for large language models, covering its impact on generalization, data generation techniques, and performance evaluation across various NLP tasks.

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

Simons Institute

Towards Reliable Use of Large Language Models - Better Detection, Consistency, and Instruction-Tuning

Explore advancements in large language models, focusing on improving consistency, detection of AI-generated text, and instruction-tuning for enhanced reliability and practical applications.

• YouTube
• 1 hour 4 minutes
• On-Demand
• Free Video

Graham Neubig

Instruction Tuning in Advanced Natural Language Processing - Lecture 6

Explore advanced NLP concepts: multi-tasking, fine-tuning, instruction tuning, parameter-efficient methods, datasets, and synthetic data generation for enhanced language models.

• YouTube
• 1 hour 6 minutes
• On-Demand
• Free Video

Role of Instruction-Tuning and Prompt Engineering in Clinical Domain - MedAI 125

Explore instruction-tuning and prompt engineering's impact on Clinical NLP, enhancing biomedical tasks and systematic reviews in oncology for optimized clinical processes and evidence-based practices.

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

Center for Language & Speech Processing(CLSP), JHU

Building Data-Efficient and Reliable Applications with Large Language Models

Explore data-efficient tuning methods and factuality evaluation for building reliable multilingual LLM applications. Learn strategies to overcome challenges in specialized domains and high-trust scenarios.

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

Discover AI

Creating Instruction Datasets for LLM Fine-tuning - A Beginner's Guide

Discover comprehensive strategies for creating instruction datasets and fine-tuning LLMs, from basic concepts to advanced techniques for both coders and non-coders in AI model development.

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

Language Models - Prompting, Chain-of-Thought, and Instruction-Tuning - Lecture 21

Explore prompting, chain-of-thought reasoning, and instruction-tuning techniques for in-context learning with language models in this MIT deep learning lecture.

• YouTube
• 1 hour 17 minutes
• On-Demand
• Free Video

UofU Data Science

LLM-as-Judge - Instruction Finetuning and Supervised Fine-Tuning

Explore LLM-as-judge techniques and instruction finetuning methods for supervised fine-tuning in this comprehensive data science presentation.

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

Generative AI Advance Fine-Tuning for LLMs

122 ratings at Coursera

Explore advanced fine-tuning techniques for LLMs, including instruction-tuning, reward modeling, and direct preference optimization. Gain hands-on experience with cutting-edge tools to enhance AI performance and alignment.

• Coursera
• 9 hours 1 minute
• On-Demand
• Paid Course

Whizlabs

NVIDIA: Large Language Models and Generative AI Deployment

Master the deployment and optimization of Large Language Models through hands-on training in model fundamentals, GPU-accelerated training techniques, PEFT methods, and ONNX-based monitoring strategies.

• Coursera
• 4 hours 24 minutes
• On-Demand
• Paid Course

Mastering Generative AI: Advanced Fine-Tuning for LLMs

Build advanced, job-ready skills in fine-tuning using Hugging Face, reinforcement learning using proximal preference optimization (PPO), and optimal solutions for direct preference optimization (DPO).

• edX
• 2 weeks, 2-4 hours a week
• On-Demand
• Free Online Course (Audit)

Coursera

Preparing Text for AI Models

Master text preprocessing, tokenization, and dataset structuring for training large language models with practical skills in sourcing, cleaning, and formatting data.

• Coursera
• 7 hours 6 minutes
• On-Demand
• Paid Course

Whizlabs

Prompt Engineering Generative AI & LLM Models Fundamentals

Master prompt engineering and LLM fundamentals through hands-on training, optimization techniques, and advanced architectures like RAG for real-world AI applications.

• Coursera
• 6 hours 28 minutes
• On-Demand
• Paid Course

Donato Capitella

GPT, Instruction Fine-Tuning, and Reinforcement Learning from Human Feedback - Understanding ChatGPT's Foundation

Delve into the technical evolution of GPT models, exploring their architecture, instruction fine-tuning processes, and the role of RLHF in developing more capable language models.

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

Discover AI

Instruction Fine-Tuning and In-Context Learning of Large Language Models with Symbols

Delve into advanced concepts of LLM instruction fine-tuning and in-context learning, exploring symbol tuning, FLAN-PaLM models, and cutting-edge research developments.

• YouTube
• 1 hour 4 minutes
• On-Demand
• Free Video