in-context-learning topic

[ACL 2024] An Easy-to-use Instruction Processing Framework for LLMs.

zjunlp

Emu Series: Generative Multimodal Models from BAAI

baaivision

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.

EgoAlpha

An benchmark for evaluating the capabilities of large vision-language models (LVLMs)

FudanDISC

总结Prompt&LLM论文，开源数据&模型，AIGC应用

DSXiangLi

Must-read Papers on LLM Agents.

zjunlp

OpenICL is an open-source framework to facilitate research, development, and prototyping of in-context learning.

Shark-NLP

SMASHED is a toolkit designed to apply transformations to samples in datasets, such as fields extraction, tokenization, prompting, batching, and more. Supports datasets from Huggingface, torchdata ite...

allenai

🎁[ChatGPT4NLU] A Comparative Study on ChatGPT and Fine-tuned BERT

WHU-ZQH

Papers and Datasets on Instruction Tuning and Following. ✨✨✨

RenzeLou