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ARC-AGI

The Abstraction and Reasoning Corpus

dspy

DSPy: The framework for programming—not prompting—foundation models

textgrad

TextGrad: Automatic ''Differentiation'' via Text -- using large language models to backpropagate textual gradients.

mtob

cross-lingual-detox

Code for "Preference Tuning For Toxicity Mitigation Generalizes Across Languages"

Internalize_CoT_Step_by_Step

https://huggingface.co/spaces/yuntian-deng/implicit-cot-math

implicit_chain_of_thought

alfred

A system for prompted weak supervision.

vec2text

utilities for decoding deep representations (like sentence embeddings) back to text

NLP_ability

总结梳理自然语言处理工程师(NLP)需要积累的各方面知识，包括面试题，各种基础知识，工程能力等等，提升核心竞争力

makemore

An autoregressive character-level language model for making more things

emulated-fine-tuning

An Emulator for Fine-tuning Large Language Models using Small Language Models

co-llm

SWE-agent

SWE-agent takes a GitHub issue and tries to automatically fix it, using GPT-4, or your LM of choice. It solves 12.47% of bugs in the SWE-bench evaluation set and takes just 1 minute to run.

weak-to-strong

ex2

If CLIP Could Talk: Understanding Vision-Language Model Representations Through Their Preferred Concept Descriptions

oppia

A free, online learning platform to make quality education accessible for all.

LexC-Gen

Generate synthetic labeled data for extremely low-resource languages using bilingual lexicons.

alignment-handbook

Robust recipes to align language models with human and AI preferences

screenshot-to-code

Drop in a screenshot and convert it to clean code (HTML/Tailwind/React/Vue)

nayak-aclfindings24-code

bonito

A lightweight library for generating synthetic instruction tuning datasets for your data without GPT.

alpaca_eval

An automatic evaluator for instruction-following language models. Human-validated, high-quality, cheap, and fast.

Machine-Learning

test

Measuring Massive Multitask Language Understanding | ICLR 2021

awesome-audiovisual-learning

A curated list of audio-visual learning methods and datasets.

awesome-instruction-dataset

A collection of open-source dataset to train instruction-following LLMs (ChatGPT,LLaMA,Alpaca)

Awesome-LLM-Reasoning

Reasoning in Large Language Models: Papers and Resources, including Chain-of-Thought, Instruction-Tuning and Multimodality.

LLamaTuner

Easy and Efficient Finetuning LLMs. (Supported LLama, LLama2, LLama3, Qwen, Baichuan, GLM , Falcon) 大模型高效量化训练+部署.

awesome-audio-visual

A curated list of different papers and datasets in various areas of audio-visual processing