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Add image of the WebUI to readme
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@ -28,6 +28,12 @@ python -m scripts.chat_web
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And then visit the URL shown. Make sure to access it correctly, e.g. on Lambda use the public IP of the node you're on, followed by the port, so for example [http://209.20.xxx.xxx:8000/](http://209.20.xxx.xxx:8000/), etc. Then talk to your LLM as you'd normally talk to ChatGPT! Get it to write stories or poems. Ask it to tell you who you are to see a hallucination. Ask it why the sky is blue. Or why it's green. The speedrun is a 4e19 FLOPs capability model so it's a bit like talking to a kindergartener :).
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And then visit the URL shown. Make sure to access it correctly, e.g. on Lambda use the public IP of the node you're on, followed by the port, so for example [http://209.20.xxx.xxx:8000/](http://209.20.xxx.xxx:8000/), etc. Then talk to your LLM as you'd normally talk to ChatGPT! Get it to write stories or poems. Ask it to tell you who you are to see a hallucination. Ask it why the sky is blue. Or why it's green. The speedrun is a 4e19 FLOPs capability model so it's a bit like talking to a kindergartener :).
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<img width="2672" height="1520" alt="image" src="https://github.com/user-attachments/assets/ed39ddf8-2370-437a-bedc-0f39781e76b5" />
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You can also `cat report.md` file which appeared in the project directory and contains the "report card" of the run, i.e. a bunch of evaluations and metrics. At the vert end, you'll see a summary table, for example:
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You can also `cat report.md` file which appeared in the project directory and contains the "report card" of the run, i.e. a bunch of evaluations and metrics. At the vert end, you'll see a summary table, for example:
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