Stable Diffusion 3 2B Medium Training with Kohya and SimpleTuner - Full Finetune and LoRA
Comprehensive guide on training Stable Diffusion 3 for art styles using kohya and SimpleTuner, covering setup, parameters, experiments, and result analysis for both full finetune and LoRA approaches.
Full Fine-tuning LLMs with Lower VRAM: Optimizers, GaLore, and Advanced Techniques
Explore advanced techniques for full fine-tuning LLMs with limited GPU resources, including optimizer tricks, Galore, and Adafactor. Enhance model performance and efficiency.
Custom RAG Pipelines and LLM Fine-Tuning - A Gradient Tutorial
Explore custom RAG pipelines and LLM fine-tuning using Gradient. Learn to deploy fine-tuned models, mimic Yoda's speech style, and efficiently fine-tune 13B parameter open-source models for unique applications.
LoRA Fine-tuning Explained - Choosing Parameters and Optimizations
Explore LoRA fine-tuning techniques, from parameter selection to optimization strategies, enhancing your ability to customize language models effectively.
Multi-GPU Fine-tuning with DDP and FSDP
Master multi-GPU fine-tuning techniques using DDP and FSDP. Explore VRAM optimization, distributed training strategies, and practical implementation with code examples and demos.
LLM Post-Training - Lecture 14
Dive into advanced LLM post-training techniques and methodologies with Prof. Song Han, exploring efficient machine learning strategies for optimizing large language models.
Efficient Fine-tuning and Prompt Engineering - Lecture 20
Explore efficient fine-tuning techniques and prompt engineering strategies for optimizing large language models in machine learning applications.
Meta Llama 3 for Drug Discovery - Generative AI Assistant Developments
Explore advanced techniques for modifying Meta Llama 3 for drug discovery, including fine-tuning, RAG implementation, and agentic behavior enhancement for improved accuracy and capabilities.
Object and Bounding Box Detection with Vision Models Using Florence 2
Master object detection and bounding box techniques using Florence 2 vision models, from basic architecture to custom dataset annotation and fine-tuning with LoRA adapters for optimal performance.
End-to-end Generative AI Workflows for Developers
Discover how to deploy and scale Meta Llama 3.1 models using NVIDIA NIM, KServe, and PEFT techniques in a Kubernetes environment, with practical demonstrations of enterprise-grade AI workflows.
Installing ComfyUI - Complete Guide for Stable Diffusion and Flux Models
Master ComfyUI installation and setup, from basic AI image generation to advanced workflows using Stable Diffusion, Flux, LORAS, and ControlNets. Learn model management, custom workflows, and troubleshooting techniques.
Using LabVIEW and LoRa for Long-Distance Status and Control
Explore LoRa technology implementation in LabVIEW for IoT applications, focusing on long-range communication solutions and practical trade-offs in low-power systems.