Gradio: Hassle-Free Sharing and Testing of ML Models in the Wild
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1906.02569
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dawood
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abidlabs
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abidlabs
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8043
Why I think local, open-source models will eventually win.
The most useful AI applications are moving toward multi-turn agentic behavior: systems that take hundreds or even thousands of iterative steps to complete a task, e.g. Claude Code, computer-control agents that click, type, and test repeatedly.
In these cases, the power of the model is not how smart it is per token, but in how quickly it can interact with its environment and tools across many steps. In that regime, model quality becomes secondary to latency.
An open-source model that can call tools quickly, check that the right thing was clicked, or verify that a code change actually passes tests can easily outperform a slightly “smarter” closed model that has to make remote API calls for every move.
Eventually, the balance tips: it becomes impractical for an agent to rely on remote inference for every micro-action. Just as no one would tolerate a keyboard that required a network request per keystroke, users won’t accept agent workflows bottlenecked by latency. All devices will ship with local, open-source models that are “good enough” and the expectation will shift toward everything running locally. It’ll happen sooner than most people think.
The most useful AI applications are moving toward multi-turn agentic behavior: systems that take hundreds or even thousands of iterative steps to complete a task, e.g. Claude Code, computer-control agents that click, type, and test repeatedly.
In these cases, the power of the model is not how smart it is per token, but in how quickly it can interact with its environment and tools across many steps. In that regime, model quality becomes secondary to latency.
An open-source model that can call tools quickly, check that the right thing was clicked, or verify that a code change actually passes tests can easily outperform a slightly “smarter” closed model that has to make remote API calls for every move.
Eventually, the balance tips: it becomes impractical for an agent to rely on remote inference for every micro-action. Just as no one would tolerate a keyboard that required a network request per keystroke, users won’t accept agent workflows bottlenecked by latency. All devices will ship with local, open-source models that are “good enough” and the expectation will shift toward everything running locally. It’ll happen sooner than most people think.
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Post
1515
What other features would you like to see on the Trackio Dashboard? (
gradio-templates/trackio-dashboard)
dawood
updated
12
Spaces
3 months ago
Auth Image Classification
🔥
Distilbert Base Uncased Finetuned Imdb
👀
2
Generate Tone
💩
Chatbot Demo
🐢
1
Generate random responses to user questions
Generate Tone
💩
1
Generate musical tones with specified note, octave, and duration
Audio Reverse
🚀
7
Reverse your spoken audio
Bert Finetuned Ner Darkmode
🚀
Bert Finetuned Ner
🦀
Rick & Morty Bot
🤹
1
Ask Rick questions about anything!
Hello World
🐢
Greet users by name
Flip_text
📚
Flip text to reverse its order
Remove Bg
🌖
2
Post
4472
The Gradio x Agents x MCP hackathon keeps growing! We now have more $1,000,000 in credit for participants and and >$16,000 in cash prizes for winners.
We've kept registration open until the end of this week, so join and let's build cool stuff together as a community: https://huggingface.co/spaces/ysharma/gradio-hackathon-registration-2025
We've kept registration open until the end of this week, so join and let's build cool stuff together as a community: https://huggingface.co/spaces/ysharma/gradio-hackathon-registration-2025
lewtun
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paper
7 months ago