利用LLM进行标注是完全可行的,小模型可以协同进行过滤、精炼大模型的标签; 弱监督学习、主动学习这两个领域,我想依然有活着的价值。 开源代码:GitHub - Justherozen/FreeAL[2] 一、为什么做这个工作?(背景) 过去的5年里,弱监督学习——解决各种低质量的数据标注信息的一个方向——都是我的主要研究方向,也支撑着...
(Optional) If you need to log in to a provider, you can view the desktop from the container here:http://localhost:7900/?autoconnect=1&resize=scale&password=secret. Use your smartphone: Run the Web UI on Your Smartphone: /docs/guides/phone ...
本文跟大家介绍我们和网易伏羲合作发表在EMNLP'23主会的工作FreeAL:Towards Human-Free Active Learning in the Era of Large Language Models,旨在探讨大模型时代的数据标注该何去何从,我们是否还需要人类标注人员协同进行标注? 零、一些结论(太长不看版) 数据标注依然重要,完全监督、弱监督的小模型在很多场景下比(...
Llamafilewas born to make sharing and running LLMs a cinch with a single file. It makes distributing and running models painless by keeping its process simple and straightforward. Key Features one-click sharing and running of LLMs incredibly easy setup and use ...
We provide the implementations of models that are compatible with 🤗 Transformers library. Here's an example of how to initialize a model from the default configs inmatmulfreelm: This is a huggingface-compatible library that you can use such command to initialize the model with huggingfaceAutoM...
Why can't some AI generators add text accurately to logos and images? Free generative AI tools aren't the best at creating logotypes because they can't generate letters accurately. Large language models (LLMs) are trained on image data, often scraped from the internet and other digitized sou...
ToolDec: LLM Tool Use via Finite-State Decoding Experiment: ToolDec Eliminates Syntax Errors Experiment: ToolDec Enables Generalizable Tool Selection Conclusion and References Appendix 6. CONCLUSION This paper presents TOOLDEC, a novel decoding algorithm designed to enhance Large Language Models (LLMs)...
ToolDec: LLM Tool Use via Finite-State Decoding Experiment: ToolDec Eliminates Syntax Errors Experiment: ToolDec Enables Generalizable Tool Selection Conclusion and References Appendix ABSTRACT Large language models (LLMs) have shown promising capabilities in using external tools to solve complex problems...
LLMs之Long-Context :《Training-Free Long-Context Scaling of Large Language Models大型语言模型中无训练法实现长上下文扩展》翻译与解读 导读:这是一篇关于无需训练即可扩展大语言模型(LLMs)上下文窗口的研究。 背景痛点:现有大型语言模型在处理长上下文时性能会显著下降,超出预训练长度后会快速退化。通过对模型进行...
This is a documentation for Free AI API with Stable Diffusion, Stable Diffusion XL, Playground-v2, Flux, PixArt, LLM, Text2GIF and many other models. - Metimol1/VisionCraft