:sparkles::sparkles:Latest Advances on Multimodal Large Language Models
- instruction-tuning
- instruction-following
- large-vision-language-model
- visual-instruction-tuning
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:sparkles::sparkles:Latest Advances on Multimodal Large Language Models
Agent S: the state-of-the-art open source computer use agents
The official GitHub page for the survey paper "A Survey of Large Language Models".
22 prompt engineering techniques with hands-on Jupyter Notebook tutorials, from fundamental concepts to advanced strategies for leveraging LLMs.
A full-featured, open-source content management framework built with Node.js that empowers organizations by combining in-context editing and headless architecture in a full-stack JS environment.
An open-source framework for training large multimodal models.
From Chain-of-Thought prompting to OpenAI o1 and DeepSeek-R1 🍓
总结Prompt&LLM论文,开源数据&模型,AIGC应用
🦦 Otter, a multi-modal model based on OpenFlamingo (open-sourced version of DeepMind's Flamingo), trained on MIMIC-IT and showcasing improved instruction-following and in-context learning ability.
Must-read Papers on LLM Agents.
Painter & SegGPT Series: Vision Foundation Models from BAAI
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.
PyTorch implementation of VALL-E(Zero-Shot Text-To-Speech), Reproduced Demo https://lifeiteng.github.io/valle/index.html
[NeurIPS 2025] Image editing is worth a single LoRA! 0.1% training data for fantastic image editing! Surpasses GPT-4o in ID persistence~ MoE ckpt released! Only 4GB VRAM is enough to run!
Official repository of In-Context LoRA for Diffusion Transformers
Embodied In-Context Learning for GPT-6 Astra
Companion repository for “In-Context Learning for Robots: Methods and Applications” — methods, datasets, and benchmarks organized by taxonomy and release date.