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
• Self-Paced
• 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
• Self-Paced
• 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
• Self-Paced
• 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
• Self-Paced
• 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
• Self-Paced
• 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
• Self-Paced
• 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
• Self-Paced
• Free Video

Trelis Research

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
• Self-Paced
• Free Video

Discover AI

Chain of Thought and Instruction Fine-Tuning for Enhanced Language Model Performance

Explore how Chain of Thought and instruction fine-tuning techniques enhance language models' performance, from basic reasoning tasks to simulating human behavior and decision-making processes.

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

UofU Data Science

Finetuning DeBERTa for Instruction Fine-Tuning - Demo

Master advanced natural language processing techniques through hands-on instruction fine-tuning with DeBERTa, exploring implementation strategies and practical applications for enhanced model performance.

• YouTube
• 1 hour 19 minutes
• Self-Paced
• 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
• Self-Paced
• Free Video

Generative AI Advanced Fine-Tuning for LLMs

133 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
• Self-Paced
• Paid Course

LLMOps

37 ratings at Coursera

Develop an LLMOps pipeline: preprocess data, configure tuning, deploy custom LLMs, and monitor safety for tailored applications like Python coding chatbots using BigQuery, Kubeflow, and Google Cloud.

• Coursera
• 1 hour 3 minutes
• Self-Paced
• 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
• Self-Paced
• Paid Course