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Dust
@dust4ai
Build Smarter Teams with Generative AI Internal data vectorized, not rasterized - Smart read and write tools - Your own powerful workflows
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Nov 14, 2022
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5 tweets
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1 min read
Teaching LLMs to teach themselves new tasks by teaching them to generate few shot examples from high-level tasks descriptions ♾️
Given a new task description the model generates few-shot examples and prompt itself with them!
dust.tt/spolu/a/b39f8e…
🧵👇Some learnings Interestingly fails with text-davinci-002 but works really well with code-davinci-002.
Looks like instruction following training interferes with this “meta meta learning” or “self-teaching” process.
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Oct 31, 2022
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7 tweets
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3 min read
WebGPT reproduced from advanced prompting only.
Dust-based web-search assistant demo answers questions by searching the web, summarizing content and compiling a final answer with references:
dust.tt/spolu/a/41770f…
This app performs the following steps:
1/
search google, take first 3 results
2/
call to a
@Replit
to get content (headless browsing)
3/
1st model call to clean-up and summarize each site
4/
2nd model call (few-shot prompted) to generate final answer with references