MicroPython & WiFi
Connect MicroPython devices to WiFi and explore the OSI model layers. Learn about MAC/IP addresses, packets, and implement a Weatherbot using NodeMCU and MQTT.
Stable Diffusion - How to Train LoRA for Style - LoRA Part 1
Learn to train LoRA for Stable Diffusion, covering dataset preparation, captioning, GUI usage, and testing. Explore both local and Google Colab methods for creating flexible style and character LoRAs.
Fine-Tuning Large Language Models at Scale - Workday's Approach
Dive into Workday's innovative approach to fine-tuning LLMs securely in a multi-tenant environment, addressing GPU scarcity and data access controls using PEFT techniques and KubeRay's autoscaling capabilities.
Streamlining AI Workflows with Apache Airflow and Ray
Discover how to build a unified AI infrastructure by integrating Apache Airflow and Ray for seamless orchestration of data processing, model training, and inference workflows, including LLM fine-tuning and LoRA deployments.
LoRA - Low Rank Adaptation for Parameter Efficient Fine-Tuning
Dive into parameter-efficient fine-tuning with LoRA, exploring low-rank matrices, adapters, and techniques to optimize neural network storage and performance while maintaining accuracy.
MLOps: Optimización PEFT para Resumen de Diálogos con Flan-T5 (LoRA) - Español
Aprende a optimizar modelos Flan-T5 con PEFT (Lora) para resumir diálogos eficientemente, incluyendo técnicas de prompt tuning y evaluación de resultados.
A New Experimental Setup for Collecting nRF2.4 and LoRa Devices Signatures for Machine Learning-based Device Authentication
Explore an experimental setup for collecting nRF2.4 and LoRa device signatures using software-defined radio, aimed at machine learning-based device authentication.
AI Masterclass for Everyone - Stable Diffusion, ControlNet, Depth Map, LORA, and VR
Comprehensive guide to creating immersive 360° photos using AI techniques like Stable Diffusion, ControlNet, and LORA. Learn capture, editing, and VR integration for stunning panoramic images.
ComfyUI and Animate Diff Guide - Creating AI Animations
Learn to create stunning AI animations using ComfyUI and Animate Diff Evolve. Master installation, workflows, and advanced techniques for text-to-video and video-to-video animations.
Stable Diffusion 3.5 Large Tutorial - Configuration Guide and FLUX DEV Comparison
Master the optimal configuration and usage of Stable Diffusion 3.5 Large and FLUX DEV through SwarmUI, including model comparisons, LoRA implementation, and deployment across various computing platforms.
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.
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.
Supercharging Multi-LLM Intelligence with CALM - Composition to Augment Language Models
Discover how CALM (Composition to Augment Language Models) revolutionizes multi-LLM integration through advanced projection layers and cross-attention mechanisms for enhanced AI capabilities.
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.
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.
QLoRA: Efficient Training of Large Language Models Using Quantization and Low-Rank Adaptation
Discover how QLoRA enables efficient training of large language models on a single GPU through innovative techniques like NormalFloat, Double Quantization, and Paged Optimizers.
LoRA: Low-Rank Adaptation for Parameter-Efficient Large Language Model Fine-Tuning
Discover how LoRA enables efficient fine-tuning of large language models through low-rank adaptation, from fundamental concepts to practical implementation in transformer architectures.
LoftQ: Understanding LoRA-Fine-Tuning-aware Quantization for LLMs
Dive into LoftQ, a groundbreaking LLM quantization method that combines with LoRA to achieve superior performance and efficiency in large language models.
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.
Stanford ALPACA 7B LLM: Fine-tuning Guide with Code and Datasets
Discover how to fine-tune and implement Stanford's ALPACA 7B language model using LLaMA, exploring practical applications and cost-effective methods for creating custom AI solutions.
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.