Official Implementation of TFLOP: Table Structure Recognition Framework with Layout Pointer Mechanism

The Universe of Evaluation. All about the evaluation for LLMs.

Framework for LLM evaluation, guardrails and security

The Universe of Data. All about data, data science, and data engineering

🤗 AutoTrain Advanced

Extensive Collection of Custom LLMs for Specialized Fields and Sectors

Awesome-LLM-Productization: a curated list of tools/tricks/news/regulations about AI and Large Language Model (LLM) productization

🦖 𝗟𝗲𝗮𝗿𝗻 about 𝗟𝗟𝗠𝘀, 𝗟𝗟𝗠𝗢𝗽𝘀, and 𝘃𝗲𝗰𝘁𝗼𝗿 𝗗𝗕𝘀 for free by designing, training, and deploying a real-time financial advisor LLM system ~ 𝘴𝘰𝘶𝘳𝘤𝘦 𝘤𝘰𝘥𝘦 + 𝘷𝘪𝘥𝘦𝘰 & 𝘳𝘦𝘢𝘥𝘪𝘯𝘨 𝘮𝘢𝘵𝘦𝘳𝘪𝘢𝘭𝘴

awesome llm plaza: daily tracking all sorts of awesome topics of llm, e.g. llm for coding, robotics, reasoning, multimod etc.

📰 Must-read papers and blogs on LLM based Long Context Modeling 🔥

Large Language Models: In this repository Language models are introduced covering both theoretical and practical aspects.

Robust recipes to align language models with human and AI preferences

A neural network that transforms a design mock-up into a static website.

Papers and resources related to the security and privacy of LLMs 🤖

The LLM Evaluation Framework

A curated list for Efficient Large Language Models

Awesome LLM Self-Consistency: a curated list of Self-consistency in Large Language Models

🦖 X—LLM: Cutting Edge & Easy LLM Finetuning

[TMLR] Cumulative Reasoning With Large Language Models (https://arxiv.org/abs/2308.04371)

[EMNLP 2023] The CoT Collection: Improving Zero-shot and Few-shot Learning of Language Models via Chain-of-Thought Fine-Tuning

Benchmarking large language models' complex reasoning ability with chain-of-thought prompting

A trend starts from "Chain of Thought Prompting Elicits Reasoning in Large Language Models".

SOTA Math Opensource LLM

Resources of deep learning for mathematical reasoning (DL4MATH).

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。

A curated paper list on LLM reasoning.

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。