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[Embodied-AI-Survey-2024] Awesome Paper list for Embodied AI
Fast and memory-efficient exact attention
LLMs interview notes and answers:该仓库主要记录大模型(LLMs)算法工程师相关的面试题和参考答案
AI Native Data App Development framework with AWEL(Agentic Workflow Expression Language) and Agents
Awesome LLM Self-Consistency: a curated list of Self-consistency in Large Language Models
A collection of 1000+ survey papers on Natural Language Processing (NLP) and Machine Learning (ML).
Open-Sora: Democratizing Efficient Video Production for All
A repository that contains models, datasets, and fine-tuning techniques for DB-GPT, with the purpose of enhancing model performance in Text-to-SQL
The paper list of the 86-page paper "The Rise and Potential of Large Language Model Based Agents: A Survey" by Zhiheng Xi et al.
The official GitHub page for the survey paper "A Survey of Large Language Models".
https://acl2023-retrieval-lm.github.io/
Generate 3D objects conditioned on text or images
A series of large language models trained from scratch by developers @01-ai
Retrieval Augmented Generation (RAG) chatbot powered by Weaviate
a state-of-the-art-level open visual language model | 多模态预训练模型
实现了Baichuan-Chat微调,Lora、QLora等各种微调方式,一键运行。
中文大模型微调(LLM-SFT), 数学指令数据集MWP-Instruct, 支持模型(ChatGLM-6B, LLaMA, Bloom-7B, baichuan-7B), 支持(LoRA, QLoRA, DeepSpeed, UI, TensorboardX), 支持(微调, 推理, 测评, 接口)等.
baichuan LLM surpervised finetune by lora
Finetune baichuan pretrained model with QLora method
中文LLaMA-2 & Alpaca-2大模型二期项目 + 64K超长上下文模型 (Chinese LLaMA-2 & Alpaca-2 LLMs with 64K long context models)
A WebUI for Efficient Fine-Tuning of 100+ LLMs (ACL 2024)
large language model training-3-stages+deployment
本项目基于SadTalkers实现视频唇形合成的Wav2lip。通过以视频文件方式进行语音驱动生成唇形,设置面部区域可配置的增强方式进行合成唇形(人脸)区域画面增强,提高生成唇形的清晰度。使用DAIN 插帧的DL算法对生成视频进行补帧,补充帧间合成唇形的动作过渡,使合成的唇形更为流畅、真实以及自然。