Chakra Labs (@chakra_ai) 's Twitter Profile
Chakra Labs

@chakra_ai

Organizing the World's Structured Data ➡ Contribute to the Open Data Marketplace. Discord: discord.gg/chakra-ai

ID: 1802807821895118848

linkhttp://chakra.dev calendar_today17-06-2024 20:58:03

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1,1K Followers

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Chakra Labs
@chakra_ai

3 months ago

human signal, machine precision

human signal, machine precision
Chakra Labs (@chakra_ai) 's Twitter Profile Photo
Chakra Labs
@chakra_ai

3 months ago

Grounding models in structured data = much better outputs than naive RAG. Thanks for the s/o kushagra!

Grounding models in structured data = much better outputs than naive RAG. Thanks for the s/o <a href="/etherary/">kushagra</a>!
Chakra Labs (@chakra_ai) 's Twitter Profile Photo
Chakra Labs
@chakra_ai

3 months ago

x.com/i/article/1929…

Chakra Labs (@chakra_ai) 's Twitter Profile Photo
Chakra Labs
@chakra_ai

3 months ago

encoding taste in the machine

encoding taste in the machine
Chakra Labs (@chakra_ai) 's Twitter Profile Photo
Chakra Labs
@chakra_ai

3 months ago

subnet 1 is almost here - waitlist open. pango.so

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Chakra Labs
@chakra_ai

2 months ago

x.com/i/article/1934…

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0xmanny
@0xmanny

2 months ago

ubi will be humans training machines

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Pango
@trypango

2 months ago

Mind2Web (2,350 tasks across 137 real websites spanning 31 domains) and other open‑source HCI datasets like OSWorld & WebArena are fantastic for prototyping and fine‑tuning. But at ~2k–4k tasks (estimated ~40 hours) they’re tiny compared to what you’d need to truly post‑train an

Mind2Web (2,350 tasks across 137 real websites spanning 31 domains) and other open‑source HCI datasets like OSWorld &amp; WebArena are fantastic for prototyping and fine‑tuning. But at ~2k–4k tasks (estimated ~40 hours) they’re tiny compared to what you’d need to truly post‑train an