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Bolyos Csaba

RCCsabi
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AI & ML interests

I am trying to work in the sphere

Recent Activity

reacted to abidlabs's post with ❤️ 3 days ago
JOURNEY TO 1 MILLION DEVELOPERS 5 years ago, we launched Gradio as a simple Python library to let researchers at Stanford easily demo computer vision models with a web interface. Today, Gradio is used by >1 million developers each month to build and share AI web apps. This includes some of the most popular open-source projects of all time, like Automatic1111, Fooocus, Oobabooga’s Text WebUI, Dall-E Mini, and LLaMA-Factory. How did we get here? How did Gradio keep growing in the very crowded field of open-source Python libraries? I get this question a lot from folks who are building their own open-source libraries. This post distills some of the lessons that I have learned over the past few years: 1. Invest in good primitives, not high-level abstractions 2. Embed virality directly into your library 3. Focus on a (growing) niche 4. Your only roadmap should be rapid iteration 5. Maximize ways users can consume your library's outputs 1. Invest in good primitives, not high-level abstractions When we first launched Gradio, we offered only one high-level class (gr.Interface), which created a complete web app from a single Python function. We quickly realized that developers wanted to create other kinds of apps (e.g. multi-step workflows, chatbots, streaming applications), but as we started listing out the apps users wanted to build, we realized what we needed to do: Read the rest here: https://x.com/abidlabs/status/1907886
liked a model 13 days ago
deepseek-ai/DeepSeek-V3-0324
updated a model about 1 month ago
RCCsabi/llama3.1-8B_v2_lora
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