PEFT Courses and Certifications

Coursera

Fine-tuning Text Models with PEFT

Master parameter-efficient fine-tuning techniques like LoRA and QLoRA to adapt large language models on consumer hardware with optimized hyperparameters and evaluation metrics.

• Coursera
• 9 hours 52 minutes
• On-Demand
• Paid Course

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

Fine-tuning LLama 2 with PEFT, LoRA, 4-bit Quantization, TRL and SFT

Master advanced LLama2 fine-tuning techniques using PEFT, LoRA, and 4-bit quantization while creating synthetic datasets with GPT-4 for customized model training.

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

AI Bites

Fine-tuning Gemma Models with PEFT and LoRA Using HuggingFace Datasets

Master parameter-efficient fine-tuning techniques for Gemma 2B model using PEFT and LoRA, with hands-on code implementation and custom dataset creation for optimized model training.

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

Discover AI

LLama 2 and PEFT Documentation - Building Interactive LLM with Retrieval Augmented Generation

Master building a RAG-enhanced LLM system using Llama 2 through hands-on coding. Learn web scraping, embedding generation, vector indexing, and semantic search to create an AI that leverages external knowledge sources.

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

The Machine Learning Engineer

MLOps: PEFT Dialog Summarization with Flan T5 Using LoRA

Aprenda a ajustar finamente modelos T5 para resumo de diálogos usando PEFT (LoRA), melhorando a eficiência e desempenho em tarefas de processamento de linguagem natural.

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

Discover AI

Coding RLHF on LLama 2 with LoRA, 4-bit Quantization, TRL and DPO

Master advanced LLM fine-tuning techniques using RLHF, implementing DPO and PPO methods on Llama models with 4-bit quantization and LoRA for optimized performance and human feedback integration.

• YouTube
• 36 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

Generative AI Fundamentals

9 ratings at Udacity

Master generative AI principles, deep learning fundamentals, and foundation model adaptation using PyTorch and Hugging Face with hands-on PEFT implementation.

• Udacity
• 21 hours
• On-Demand
• Paid Course

Fine-Tuning AI Agents with Reinforcement Learning

Master advanced techniques to transform static LLMs into adaptive AI agents using reinforcement learning, supervised fine-tuning, and alignment methods for autonomous decision-making.

• Udacity
• 15 hours
• On-Demand
• Paid Course

Sam Witteveen

Fine-Tuning LLMs with PEFT and LoRA

1 review

Explore efficient fine-tuning of large language models using PEFT and LoRA techniques, with a focus on practical implementation and uploading to HuggingFace Hub.

• YouTube
• 16 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

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

The Machine Learning Engineer

MLOps: Fine-tuning Mistral 7B with PEFT, QLora, and MLFlow

Fine-tune Mistral 7B using PEFT, QLora, and MLFlow techniques. Master advanced LLM optimization for improved performance and efficiency.

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