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HCMC University of Technology
- Saigon Metropolitan Area
- @anhduyle1603
- https://scholar.google.com/citations?user=VSj_iOQAAAAJ&hl=vi
LLM
Unified Efficient Fine-Tuning of 100+ LLMs & VLMs (ACL 2024)
mPLUG-DocOwl: Modularized Multimodal Large Language Model for Document Understanding
Alphabetical list of free/public domain datasets with text data for use in Natural Language Processing (NLP)
A collection of Vietnamese Natural Language Processing resources.
Welcome to the Llama Cookbook! This is your go to guide for Building with Llama: Getting started with Inference, Fine-Tuning, RAG. We also show you how to solve end to end problems using Llama modeโฆ
Collection of notebook guides created by the Brev.dev team!
Implement a ChatGPT-like LLM in PyTorch from scratch, step by step
Implementation of FlashAttention in PyTorch
20+ high-performance LLMs with recipes to pretrain, finetune and deploy at scale.
Official implementation of TransNormerLLM: A Faster and Better LLM
๐ Collection of components for development, training, tuning, and inference of foundation models leveraging PyTorch native components.
The official PyTorch implementation of Google's Gemma models
The paper list of the 86-page SCIS cover paper "The Rise and Potential of Large Language Model Based Agents: A Survey" by Zhiheng Xi et al.
Awesome LLM compression research papers and tools.
Utilities intended for use with Llama models.
๐ฆ ๐๐ฒ๐ฎ๐ฟ๐ป about ๐๐๐ ๐, ๐๐๐ ๐ข๐ฝ๐, and ๐๐ฒ๐ฐ๐๐ผ๐ฟ ๐๐๐ for free by designing, training, and deploying a real-time financial advisor LLM system ~ ๐ด๐ฐ๐ถ๐ณ๐ค๐ฆ ๐ค๐ฐ๐ฅ๐ฆ + ๐ท๐ช๐ฅ๐ฆ๐ฐ & ๐ณ๐ฆ๐ข๐ฅ๐ช๐ฏ๐จ ๐ฎ๐ข๐ต๐ฆ๐ณ๐ช๐ข๐ญ๐ด
Awesome papers about generative Information Extraction (IE) using Large Language Models (LLMs)
MiniCPM-V 4.5: A GPT-4o Level MLLM for Single Image, Multi Image and High-FPS Video Understanding on Your Phone
A Bulletproof Way to Generate Structured JSON from Language Models
Official Repository of MMLONGBENCH-DOC: Benchmarking Long-context Document Understanding with Visualizations
The AI Scientist: Towards Fully Automated Open-Ended Scientific Discovery ๐งโ๐ฌ
Quick Start for Large Language Models (Theoretical Learning and Practical Fine-tuning) ๅคง่ฏญ่จๆจกๅๅฟซ้ๅ ฅ้จ๏ผ็่ฎบๅญฆไน ไธๅพฎ่ฐๅฎๆ๏ผ