large-language-models

Awesome-LLM-Robustness: a curated list of Uncertainty, Reliability and Robustness in Large Language Models

MOMENT: A Family of Open Time-series Foundation Models, ICML'24

A simple, unified multimodal models training engine. Lean, flexible, and built for hacking at scale.

Using Tree-of-Thought Prompting to boost ChatGPT's reasoning

LLMs can generate feedback on their work, use it to improve the output, and repeat this process iteratively.

Building LLM-Enabled Multi Agent Applications from Scratch

Verbalized Sampling, a training-free prompting strategy to mitigate mode collapse in LLMs by requesting responses with probabilities. Achieves 2-3x diversity improvement while maintaining quality. Model-agnostic framework with CLI/API for creative writing, synthetic data generation, and dialogue simulation.

Building DeepSeek R1 from Scratch

🌟 A curated collection of free, high quality AI tools 🤖, APIs 🔗, datasets 📊, and learning resources 📚 covering machine learning 🧠, deep learning 🧩, generative AI 🎨, NLP 💬, and data science 📈. Designed to help developers 👩‍💻, researchers 🔬, and creators ✨ explore and build with AI faster ⚡.

parrot.nvim 🦜 - the plugin that brings stochastic parrots to Neovim.

Local voice chatbot for engaging conversations, powered by Ollama, Hugging Face Transformers, and Coqui TTS Toolkit

Samples showing how to build Java applications powered by Generative AI and LLMs using Spring AI and Spring Boot.

Large Context Attention

Paper list about multimodal and large language models, only used to record papers I read in the daily arxiv for personal needs.

Ingest files for retrieval augmented generation (RAG) with open-source Large Language Models (LLMs), all without 3rd parties or sensitive data leaving your network.

[EMNLP 2024 & AAAI 2026] A powerful toolkit for compressing large models including LLMs, VLMs, and video generative models.

SEAIT is a user-friendly application that simplifies the installation process of AI-related projects

Aligning Large Language Models with Human: A Survey

Collection of resources on the applications of Large Language Models (LLMs) in Audio AI.

LLM-PowerHouse: Unleash LLMs' potential through curated tutorials, best practices, and ready-to-use code for custom training and inferencing.