Tiendil/feeds.fun
News reader with tags, scoring, and LLM
- Stars
- 395
- Forks
- 19
- Open issues
- 66
- Last push
- today
About feeds.fun
feeds.fun is a free, open-source LLM chat app by Tiendil, written mainly in Python. News reader with tags, scoring, and LLM. It has 395 GitHub stars and 19 forks, and was last updated today. GitHub doesn't detect a standard license, so check the repository before using it commercially.
- License
- Not detected
- Language
- Python
- Stars
- 395
- Last update
- today
- Runs on Mac
- Not stated
- GPU
- Not stated
- Paid API key
- Not stated
- Self-hostable
- Yes
Similar free tools
Hands-On-Large-Language-Models30k stars · Official code repo for the O'Reilly Book - "Hands-On Large Language Models"
Qwen22k stars · The official repo of Qwen (通义千问) chat & pretrained large language model proposed by Alibaba Cloud.
FinGPT21k stars · FinGPT: Open-Source Financial Large Language Models! Revolutionize 🔥 We release the trained model on HuggingFace.
gpt_academic72k stars · 为GPT/GLM等LLM大语言模型提供实用化交互接口，特别优化论文阅读/润色/写作体验，模块化设计，支持自定义快捷按钮&函数插件，支持Python和C++等项目剖析&自译解功能，PDF/LaTex论文翻译&总结功能，支持并行问询多种LLM模型，支持chatglm3等本地模型。接入通义千问, deepseekcoder, 讯飞星火, 文心一言, llama2, rwkv, claude2, moss
langextract39k stars · A Python library for extracting structured information from unstructured text using LLMs with precise source grounding and interactive visualization.
Megatron-LM18k stars · Ongoing research training transformer models at scale
feeds.fun FAQ
Is feeds.fun free?
Yes. feeds.fun is open source and free to use. GitHub doesn't detect a standard license, so check the repository before using it commercially.
Does feeds.fun run on a Mac?
The project doesn't say. Check its installation guide before you start.
Does feeds.fun need a GPU?
The project doesn't state hardware needs. AI models generally run much faster with a GPU.
Is feeds.fun still maintained?
Yes. It was last updated today and has 66 open issues on GitHub.
What are alternatives to feeds.fun?
Similar free, open-source tools include Hands-On-Large-Language-Models, Qwen, FinGPT, gpt_academic.