Instruction-Tuning Courses and Certifications

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
• Self-Paced
• Paid Course

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

Discover AI

Robin3D: Improving 3D Large Language Models Through Robust Instruction Tuning

Discover how Robin3D advances spatial intelligence through innovative data generation and architectural improvements for better 3D scene understanding and object relationship comprehension.

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

Association for Computing Machinery (ACM)

GraphGPT: Graph Instruction Tuning for Large Language Models - Session M2.2

Explore graph instruction tuning for large language models, enhancing their ability to understand and process graph-structured data effectively.

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

Shaping the Future of AI from the History of Transformer Architectures - Stanford CS25

Explore the evolution of Transformer architectures and AI development with OpenAI researcher Hyung Won Chung, focusing on historical motivations and future projections in the field.

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

Samuel Chan

Locally-Hosted Offline LLM with LlamaIndex and OPT - Implementing Open-Source Instruction-Tuned Language Models

Implement an offline, locally-hosted open-source LLM using Meta's OPT model and LlamaIndex. Learn about instruction-tuned models and explore alternatives to GPT-3 for various NLP tasks.

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

Discover AI

DOLLY 2.0: Understanding the Open-Source Language Model and Implementation

Explore Databricks' Dolly 2.0, a commercially viable open-source LLM with 12B parameters, featuring instruction fine-tuning implementation and practical PyTorch code examples on Colab.

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

Graham Neubig

Advanced Natural Language Processing - Fall 2024

Master advanced NLP techniques from transformers to LLM agents, covering pre-training, instruction tuning, RLHF, RAG, and cutting-edge inference algorithms in this comprehensive CMU series.

• YouTube
• 1 day 3 hours 10 minutes
• Self-Paced
• Free Video

Graham Neubig

CMU Advanced Natural Language Processing Spring 2024

Master advanced NLP techniques from transformers to LLMs, covering prompting, fine-tuning, RAG, reinforcement learning, code generation, and multilingual processing in this comprehensive series.

• YouTube
• 1 day 1 hour 26 minutes
• Self-Paced
• Free Video

Mervin Praison

Creating Synthetic Datasets for Instruction Finetuning with LLaMA and Nemotron

Learn to create synthetic datasets for AI instruction fine-tuning using LLaMA 3.1 and Nemotron 4. Master subtopic generation, question creation, response generation, quality filtering, and dataset uploading to Hugging Face.

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

MLOps.community

Finetuning Open-Source LLMs - Strategies and Custom LLM Creation

Explore LLM finetuning strategies, including low-rank adaptation, and learn to create custom LLMs using open-source software. Gain insights into various LLM applications and techniques.

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

LLMOps Space

Fine-tuning LLMs with Hugging Face SFT and QLoRA - LLMOps Techniques

Explore advanced LLM fine-tuning techniques, from specialized tuning to instruction enhancement. Learn dataset preparation, model optimization, and leverage powerful libraries for efficient fine-tuning and deployment.

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

AI Bites

LLaVA: Large Language and Vision Assistant - Understanding the First Instruction-Following Multimodal Model

Discover how LLaVA pioneered instruction-tuned multimodal AI, combining language and vision capabilities to create a groundbreaking Large Multimodal Model for advanced visual understanding and interaction.

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

Discover AI

WizardCoder 34B: Understanding Complex Fine-Tuning for Code Generation

Delve into the advanced fine-tuning techniques behind WizardCoder-34B, exploring its performance improvements through complex instruction cascading and evolutionary approaches.

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