Hotel-domain conversational assistant using Qwen2.5-7B-Instruct, focusing on practical, reproducible fine-tuning. It supports SFT + LoRA for a stable baseline, SFT + QLoRA for 7B model training with 4-bit quantization under limited GPU memory, and DPO to enhance responses via human preference pairs
Finetuning of Gemma-2 2B for structured output
Finetuning Google's Gemma Model for Translating Natural Language into SQL
This repository contains a system for generating question-answer pairs for FINE-TUNING LLMs from the data you have.
Build and fine-tune your Image Classifier using a Vision Transformer Model from TensorFlow Hub
An experiment with movie scenes and contrastive learning
Code associated with the blog post titled, "Fine-Tuning BGE Embeddings Using Synthetic Data from Amazon Bedrock"
Llama 3.2 fine-tuned on a medical dataset for improved healthcare-specific understanding and tasks.
A deep learning project for detecting and classifying teeth as normal or cavity using YOLOv12m. The model is integrated into a web application for real-time dental screening. Designed to enhance early diagnosis accessibility, with future improvements planned for dataset expansion, annotation quality, and robustness to real-world conditions.
Low Tensor Rank adaptation of large language models
The official fork of THoR Chain-of-Thought framework, enhanced and adapted for Emotion Cause Analysis (ECAC-2024)
ComfyUI nodes useful to Tweak SDXL, Illustrious, and NAI models by adjusting specific 'slices'. These nodes break the U-Net and CLIP into areas of application (like Style, Lighting, Word Logic...) and use sliders to boost or lower the intensity of any of those sections without training.
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