A high-throughput and memory-efficient inference and serving engine for LLMs

[BIONLP@ACL 2024] XrayGPT: Chest Radiographs Summarization using Medical Vision-Language Models.

Inference Llama 2 in one file of pure C

This is a Phi-3 book for getting started with Phi-3. Phi-3, a family of open AI models developed by Microsoft. Phi-3 models are the most capable and cost-effective small language models (SLMs) avai…

A curated list of practical guide resources of LLMs (LLMs Tree, Examples, Papers)

MiniCPM-V 2.6: A GPT-4V Level MLLM for Single Image, Multi Image and Video on Your Phone

Financial datasets for LLMs 🧪

A repo of short "vignettes" illustrating statistical concepts

STATS305C: Applied Statistics III (Spring, 2023)

Inference code for Llama models

The Open Source Code of UniAudio

Train transformer language models with reinforcement learning.

Efficiently Fine-Tune 100+ LLMs in WebUI (ACL 2024)

Jupyter notebooks for the Natural Language Processing with Transformers book

ReFT: Representation Finetuning for Language Models

Code release for "Learning to Generate Explainable Stock Predictions using Self-Reflective Large Language Models" https://arxiv.org/abs/2402.03659

Code and documentation to train Stanford's Alpaca models, and generate the data.

Data and code for "Entity-Based Evaluation of Political Bias in Automatic Summarization"

Scaffold for NLP researcher to quickly set up the codebase

Locating and editing factual associations in GPT (NeurIPS 2022)

Facebook AI Research Sequence-to-Sequence Toolkit written in Python.

Extracting spatial and temporal world models from LLMs

CLIP (Contrastive Language-Image Pretraining), Predict the most relevant text snippet given an image

A latent text-to-image diffusion model

Modern Methods of Applied Statistics (Spring 2024) STAT 34800

Schedule and Syllabus for Human-Centered Machine learning.