fine-tuning

A complete, hands-on roadmap to becoming an AI Engineer, from Python basics to production RAG, Agents, and Fine-Tuning. 10 modules, 20+ notebooks, 15 real projects. Free, open source, built for the community.

This is an official pytorch implementation for paper "A Unified Shape-Aware Foundation Model for Time Series Classification" (AAAI-26).

A regularized self-labeling approach to improve the generalization and robustness of fine-tuned models

LawBotics v2 is an AI-powered legal contract analysis platform that combines machine learning with modern web technologies to automate legal document review and clause extraction.

Hands-on labs for Microsoft Foundry - Azure's unified PaaS for enterprise AI. Notebooks + Bicep covering provisioning, agents (incl. hosted Copilot SDK + REST), MCP, Foundry IQ knowledge bases, guardrails, red-teaming, and fine-tuning.

A software application is that allows users to input specific themes or topics for a meme or marketing poster. Following this input, the application produces a cohesive poster with both text and imagery

This hands-on lab walks you through a step-by-step approach to efficiently serving and fine-tuning large-scale Korean models on AWS infrastructure.

DelphiMistralAI wrapper brings Mistral’s text-vision-audio models and agentic Conversations to Delphi, with chat, embeddings, Codestral codegen, fine-tuning, batching, moderation, async/await helpers and live request monitoring.

[ACL 2024] Instruct Once, Chat Consistently in Multiple Rounds: An Efficient Tuning Framework for Dialogue

An LLM training library for instruction-tuning.

Fine-tuning black-box OpenAI embedding models

META LLAMA3 GENAI Real World UseCases End To End Implementation Guide

Pretrained VGG-16 network as feature extractor for Object Recognition (Python, Keras, Scikit-Learn)

AnimeGAN2 trained on Arcane

CRE-LLM: A Domain-Specific Chinese Relation Extraction Framework with Fine-tuned Large Language Model

An attention-based backend allowing efficient fine-tuning of transformer models for speaker verification

A CLI in Rust to generate synthetic data for MLX friendly training

一款强大的大模型微调数据集生成和管理工具。

A comprehensive, professional guide explaining the differences, strengths, and best practices of Retrieval-Augmented Generation (RAG) and Fine-Tuning for LLMs, including workflows, comparisons, decision frameworks, and real-world hybrid AI use cases.

[ACL 2023] The code for our ACL'23 paper Cold-Start Data Selection for Few-shot Language Model Fine-tuning: A Prompt-Based Uncertainty Propagation Approach