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Examples and guides for using the OpenAI API
Instruct-tune LLaMA on consumer hardware
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 mode…
此项目是机器学习(Machine Learning)、深度学习(Deep Learning)、NLP面试中常考到的知识点和代码实现，也是作为一个算法工程师必会的理论基础知识。
Repository of Jupyter notebook tutorials for teaching the Deep Learning Course at the University of Amsterdam (MSc AI), Fall 2023
Jupyter Notebooks to help you get hands-on with Pinecone vector databases
Awesome resources for in-context learning and prompt engineering: Mastery of the LLMs such as ChatGPT, GPT-3, and FlanT5, with up-to-date and cutting-edge updates.
Codes for "Chameleon: Plug-and-Play Compositional Reasoning with Large Language Models".
pytorch version of neural collaborative filtering
🐟 Code and models for the NeurIPS 2023 paper "Generating Images with Multimodal Language Models".
GT4SD, an open-source library to accelerate hypothesis generation in the scientific discovery process.
MixText: Linguistically-Informed Interpolation of Hidden Space for Semi-Supervised Text Classification
MS MARCO(Microsoft Machine Reading Comprehension) is a large scale dataset focused on machine reading comprehension, question answering, and passage ranking. A variant of this task will be the part…
A customizable pipeline for multimodal data extraction from MIMIC-IV!
Graph Chain-of-Thought: Augmenting Large Language Models by Reasoning on Graphs (ACL 2024)
[NIPS2023] Code and Model for VAST: A Vision-Audio-Subtitle-Text Omni-Modality Foundation Model and Dataset
ToolQA, a new dataset to evaluate the capabilities of LLMs in answering challenging questions with external tools. It offers two levels (easy/hard) across eight real-life scenarios.
A repo to explore different NLP tasks which can be solved using T5
You can find the most recent KGQA benchmark numbers from publications here.
[EMNLP 2023] MQuAKE: Assessing Knowledge Editing in Language Models via Multi-Hop Questions
A framework to empover LLMs on graph reasoning and generation. Refer to our paper: https://arxiv.org/pdf/2402.08785.pdf
MedAgentsBench: Benchmarking Thinking Models and Agent Frameworks for Complex Medical Reasoning
NeurIPS'24 DB (Spotlight) | Instruction Tuning Large Language Models to Understand Electronic Health Records
[ML4H'25] m1: Unleash the Potential of Test-Time Scaling for Medical Reasoning in Large Language Models
Training HuggingFace models on EHR data