Jerry's starred repositories
Screenshot-to-code
A neural network that transforms a design mock-up into a static website.
Awesome-Chinese-LLM
整理开源的中文大语言模型,以规模较小、可私有化部署、训练成本较低的模型为主,包括底座模型,垂直领域微调及应用,数据集与教程等。
flash-attention
Fast and memory-efficient exact attention
LLaMA2-Accessory
An Open-source Toolkit for LLM Development
prompttools
Open-source tools for prompt testing and experimentation, with support for both LLMs (e.g. OpenAI, LLaMA) and vector databases (e.g. Chroma, Weaviate, LanceDB).
chain-of-thought-hub
Benchmarking large language models' complex reasoning ability with chain-of-thought prompting
Chain-of-ThoughtsPapers
A trend starts from "Chain of Thought Prompting Elicits Reasoning in Large Language Models".
awesome-artificial-intelligence-guidelines
This repository aims to map the ecosystem of artificial intelligence guidelines, principles, codes of ethics, standards, regulation and beyond.
Awesome-Efficient-LLM
A curated list for Efficient Large Language Models
awesome-instruction-datasets
A collection of awesome-prompt-datasets, awesome-instruction-dataset, to train ChatLLM such as chatgpt 收录各种各样的指令数据集, 用于训练 ChatLLM 模型。
xlang-paper-reading
Paper collection on building and evaluating language model agents via executable language grounding
cumulative-reasoning
Official implementation of paper "Cumulative Reasoning With Large Language Models" (https://arxiv.org/abs/2308.04371)
neurips_llm_efficiency_challenge
NeurIPS Large Language Model Efficiency Challenge: 1 LLM + 1GPU + 1Day
CoT-Collection
[EMNLP 2023] The CoT Collection: Improving Zero-shot and Few-shot Learning of Language Models via Chain-of-Thought Fine-Tuning
Awesome-LLM4Tool
A curated list of the papers, repositories, tutorials, and anythings related to the large language models for tools
Awesome-LLM-reasoning
A curated paper list on LLM reasoning.
Awesome-LLM-Self-Consistency
Awesome LLM Self-Consistency: a curated list of Self-consistency in Large Language Models