large-language-models

<밑바닥부터 만들면서 공부하는 LLM>(길벗, 2025)의 코드 저장소

BabyGPT: Build Your Own GPT Large Language Model from Scratch Pre-Training Generative Transformer Models: Building GPT from Scratch with a Step-by-Step Guide to Generative AI in PyTorch and Python

Awesome deliberative prompting: How to ask LLMs to produce reliable reasoning and make reason-responsive decisions.

Easy fine-tuning for Qwen3-TTS: Fast voice cloning and high-quality multilingual speech synthesis.

Build Enterprise RAG (Retriver Augmented Generation) Pipelines to tackle various Generative AI use cases with LLM's by simply plugging componants like Lego pieces.

Simulate AI Personas in Social Feeds with Real-Time Chat Bots 2026

Client-side toolkit for using large language models, including where self-hosted

Initiative to evaluate and rank the most popular LLMs across common task types based on their propensity to hallucinate.

Experimental playground for benchmarking language model (LM) architectures, layers, and tricks on smaller datasets. Designed for flexible experimentation and exploration.

Language Quantized AutoEncoders

A diverse, simple, and secure all-in-one LLMOps platform

Reformatted Alignment

Advanced Retrieval-Augmented Generation (RAG) through practical notebooks, using the power of the Langchain, OpenAI GPTs ,META LLAMA3 , Agents.

Resources on Large Language Models for Table Processing

This is the official repository for the paper "Flora: Low-Rank Adapters Are Secretly Gradient Compressors" in ICML 2024.

The open-source universal adapter for LLMs. Turn messy real-world data into clean, agent-ready context.

Beginner-friendly repository for launching your first LLM API with Python, LangChain and FastAPI, using local models or the OpenAI API.

Mistral + Haystack: build RAG pipelines that rock 🤘

A Collection of AIGC Research Groups

Tools for using Langchain with Prefect