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Published on
October 3, 2024
Supervised Fine-tuning Deep Dive: Building Your First Instruction-Following Model
Supervised-Fine-tuning SFT LLM Transformers Instruction-Following Machine-Learning
Comprehensive guide to supervised fine-tuning of Large Language Models, covering data preparation, training implementation, hyperparameter optimization, and evaluation strategies with practical code examples.
Published on
September 12, 2024
Setting Up Your LLM Fine-tuning Environment: Hardware, Software, and Best Practices
LLM Fine-tuning Transformers CUDA PyTorch Environment-Setup GPU
Complete guide to setting up a robust development environment for LLM fine-tuning, covering hardware requirements, software installation, data preparation workflows, and optimization techniques.
Published on
September 5, 2024
LLM Fine-tuning Fundamentals: Understanding When and How to Fine-tune
llm fine-tuning machine-learning transformers python
A comprehensive introduction to LLM fine-tuning covering key concepts, different approaches, and guidance on choosing the right method for your use case.
Published on
August 15, 2024
LoRA and QLoRA: Efficient LLM Fine-tuning on Consumer Hardware
llm lora qlora fine-tuning python
Understand how LoRA enables fine-tuning of billion-parameter models on consumer GPUs by learning low-rank adaptations instead of updating all weights.
Published on
June 10, 2024
OpenCV Tutorial: Computer Vision with Python
OpenCV Computer-Vision Python Image-Processing Object-Detection
Comprehensive guide to OpenCV for computer vision applications, covering image processing, feature detection, object tracking, and real-time video analysis with practical examples.

All Posts

Supervised Fine-tuning Deep Dive: Building Your First Instruction-Following Model

Setting Up Your LLM Fine-tuning Environment: Hardware, Software, and Best Practices

LLM Fine-tuning Fundamentals: Understanding When and How to Fine-tune

LoRA and QLoRA: Efficient LLM Fine-tuning on Consumer Hardware

OpenCV Tutorial: Computer Vision with Python