fine-tuning

This Russia Doesn't Exist

Madlab is an advanced AI development studio designed to streamline the process of dataset management, model training, and evaluation. It combines a robust Node.js/Express backend with a powerful Python-based training engine and a modern React frontend.

Fine-tuned LLM for electroencephalography(EEG) data classification

HypeLoRA: Hypernetwork-Generated LoRA Adapters for Calibrated Language Model Fine-Tuning

CosyVoice3 LoRA fine-tuning companion repo — PEFT integration, 9 known pitfalls from IMDA NSC production runs, corrected from failed full-SFT attempt

Kairos: An autonomous development supervisor powered by Context Engineering. It provides a living memory and a contextual constitution for your projects to prevent AI context loss.

Tool for auto-generating README documentation for code repositories

LoRA supervised fine-tuning, RLHF (PPO) and RAG with llama-3-8B on the TLDR summarization dataset

A production-grade multi-agent system using ReAct orchestration, MCP, A2A, and LMMs for hyper-local property valuation with Evals.

预训练模型知识量度量竞赛 Baseline F1 0.35 BERTForMaskedLM

Finetune Web UI is a user-interface for training and deploying pre-trained models.

An MCP server for dataset generation, fine-tuning, RL, and evaluation of LLMs — directly from your coding agent.

🧠 Multimodal Retrieval-Augmented Generation that "weaves" together text and images seamlessly. 🪡

A simple custom QLoRA implementation for fine-tuning a language model (LLM) with basic tools such as PyTorch and Bitsandbytes, completely decoupled from Hugging Face.

Comprehensive LLMs repo, where I cover both theoretical and practical aspects of LLMs.

Natural Language to SQL

Unsupervised specificity-guided optimization of Image Captioning models to encourage meaningful diversity in the generated captions. Code for the paper Generating Diverse and Meaningful Captions: Unsupervised Specificity Optimization for Image Captioning (Lindh et al., 2018).

Code for paper "Towards Green AI in Fine-tuning Large Language Models via Adaptive Backpropagation" (ICLR'24)

Fine tuning a text generation model using the GPT-2 architecture and a csv dataset

Embark on the "Reinforcement Learning from Human Feedback" course and align Large Language Models (LLMs) with human values.