Parameter-Efficient Fine-Tuning Courses and Certifications

Association for Computing Machinery (ACM)

IISAN: Efficiently Adapting Multimodal Representation for Sequential Recommendation - M2.6

Explore efficient multimodal representation adaptation for sequential recommendations using decoupled PEFT in this innovative research presentation.

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

Association for Computing Machinery (ACM)

When MOE Meets LLMs: Parameter Efficient Fine-tuning for Multi-task Medical Applications - Lecture 1

Explore parameter-efficient fine-tuning techniques for multi-task medical applications using Mixture of Experts and Large Language Models.

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

Generative AI Engineering and Fine-Tuning Transformers

Explore transformers, fine-tuning, and PEFT techniques for LLMs. Gain hands-on experience with Hugging Face and PyTorch to develop job-ready generative AI engineering skills.

• Coursera
• 7 hours 59 minutes
• On-Demand
• Free Online Course (Audit)

EuroPython Conference

Fine-tuning Large Models on Local Hardware Using PEFT and Quantization

Explore Parameter-Efficient Fine-Tuning (PEFT) and quantization techniques to train large neural networks on modest hardware using the PEFT library and Hugging Face ecosystem.

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

Snorkel AI

Fine-Tuning and Customizing LLMs for Enterprise Tasks

Explore LLM fine-tuning techniques for enterprise-specific tasks. Learn about data quality, customization methods, and the trend towards task-specific models in organizational AI implementation.

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

Center for Language & Speech Processing(CLSP), JHU

Building Better Language Models - Paradigms and Techniques

Explore advanced techniques for building and improving language models, covering paradigms, zero-shot learning, and multitask prompted training.

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

Anyscale

Lessons From Fine-Tuning Llama-2

Explore insights from fine-tuning Llama-2 for specialized applications. Learn setup, infrastructure, and efficiency techniques to outperform GPT-4 in specific scenarios using Anyscale and Ray.

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

HOTI - Hot Interconnects Symposium

Characterizing Communication in Distributed Parameter-Efficient Fine-Tuning for LLMs

Explore communication patterns and optimization techniques in distributed parameter-efficient fine-tuning for Large Language Models, focusing on network performance and scalability challenges.

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

MLOps.community

The Next Million AI Apps - Developing Custom Models for Specialized Tasks

Develop custom AI models using fine-tuning and data-driven techniques to create differentiated products solving previously unattainable problems.

• YouTube
• 1 hour 3 minutes
• On-Demand
• Free Video

Shaw Talebi

Fine-tuning Large Language Models (LLMs) with Example Code

Learn to fine-tune large language models with practical Python examples. Explore techniques like LoRA for efficient parameter tuning and implement a text classification model using distilBERT.

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

Generative AI on AWS

Generative AI and Large Language Models: Fine-tuning with SageMaker, PEFT, RLHF and PPO

Master advanced LLM fine-tuning techniques using Amazon SageMaker, exploring PEFT, RLHF, and PPO methodologies for optimized AI model performance and customization.

• YouTube
• 2 hours 32 minutes
• On-Demand
• Free Video

Discover AI

Understanding 4-bit Quantization and QLoRA - Memory Efficient Fine-tuning of LLMs

Dive into memory-efficient fine-tuning of large language models through 4-bit quantization and QLoRA, combining theoretical foundations with practical implementation in Colab.

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

Discover AI

Optimizing LLM Fine-Tuning with PEFT and LoRA Adapter-Tuning for GPU Performance

Master efficient fine-tuning of large language models using PEFT and LoRA techniques, optimizing GPU memory usage through INT8 quantization and adapter-tuning for cost-effective model development.

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

Discover AI

Parameter-Efficient Fine-Tuning with LoRA - Optimizing LLMs for Local GPU Training

Master PEFT LoRA techniques to efficiently fine-tune large language models on local GPUs through low-rank adaptation, reducing memory requirements while maintaining model performance.

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

Discover AI

Parameter Efficient Fine-Tuning with Multiple LoRA Adapters for Large Language Models

Dive into parameter efficient fine-tuning with LoRA adapters, exploring matrix factorization, SVD, and advanced configurations for optimizing large language models.

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