AI papers and AI research explained, for technical people. Get hired by the best AI companies: airtable.com/shr0Jv3aGS0PFjy…
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// Stable Diffusion, Explained //
You've seen the Stable Diffusion AI art all over Twitter.
But how does Stable Diffusion _work_?
A thread explaining diffusion models, latent space representations, and context injection:
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Community paper reading of “Orca” with @jason_lopatecki of @arizeai is up!
Orca uses “system prompts” to better-finetune small ~10B parameter LLMs from large ones like GPT-4.
This training process extends the small models’ reasoning capabilities.
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ICYMI the recording and transcript of our latest paper reading featuring @brian_a_burns of @ai__pub is up!
Orca leverages rich signals from GPT-4, surpassing state-of-the-art models by over 100% in complex zero-shot reasoning benchmarks.
Check it out:
arize.com/blog/orca-progress…
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Paper: “Orca: Progressive Learning from Complex Explanation Traces of GPT-4”
Reading and recording here: arize.com/blog/orca-progress…
Paper here: arxiv.org/abs/2306.02707
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// Paper reading this Wednesday: Orca //
Join me and @jason_lopatecki + the team at @arizeai in reading:
"Orca: Progressive Learning from Complex Explanation Traces of GPT-4"
This Wednesday, 10:15am Pacific!
Discussion is open to all, register here: arize.com/resource/community…
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Orca is an interesting development in the recent trend of fine-tuning smaller LLMs (~10B parameters) from the output of large ones like GPT-4.
Paper here: arxiv.org/abs/2306.02707
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Arize is doing a great paper-reading series every Wedneday focused mostly on modern LLMs.
You can check out past recordings here: arize.com/resource/community…
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// Phoenix: Open-source ML Observability //
@arizeai just released an open-source library for LLMs and deep NNs more generally! It's really cool.
Provides, among other features:
- Visual clustering analysis model interpretability in latent space
...
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Workflows to:
- Cluster and debug LLM prompts
- Fine-tune on underfit clusters in latent space
- Observe model drift
0 to almost 1k stars in two weeks!
Homepage: phoenix.arize.com/
GitHub: github.com/Arize-ai/phoenix
And give it a try with:
pip install arize-phoenix
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Harvey just announced a $21M Series A led by Sequoia.
Backed by the OpenAI Startup Fund since August 2022, Harvey is building AI knowledge workers for law.
They're the fastest-growing LLM startup I know of, and are hiring aggressively (below).
sequoiacap.com/article/partn…
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To apply to Harvey, either:
1) Fill out this form: airtable.com/shrVEuhZa6Dus9J…,
and I will personally review your application + forward to founders.
(I work closely with Harvey as their main outside recruiter.)
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2) DM @gabepereyra or email gabe@harvey.ai your LinkedIn profile and evidence of exceptional ability.
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Announcing Harvey's Series A led by @sequoia.
Looking forward to working with @gradypb, @charliecurnin and lucky to have the continued support of @OpenAI, @w_conviction, @eladgil and @svangel.
sequoiacap.com/article/partn…
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AI Pub retweeted
Also, a big thank you to our judges of the hackathon
@sherwinwu
@alexgraveley
@JamesCurrier
@Scobleizer
@brittwalker_
@jerryjliu0
@NathanThinks
@jorn_lyseggen
@Sofi_Shvets
@timt
@arasha
@hsenju
@brian_a_burns
@thepericulum
@paulinebhyang
@VinIyengar
& others
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Had a really fun conversation with Louis Bouchard (@Whats_AI) - MILA PhD student, founder of @towards_AI, and host of What's AI (piped.video/c/whatsai)!
We spoke about:
- AI media
- AI recruiting & careers
- Breaking into industry or research without a PhD
... and much more!
Are you considering pursuing a PhD or wondering how to get into #machinelearning? Before you take the plunge, listen to this insightful interview with Brian Burns, #PhD candidate at the @UW and founder of the @ai__pub Twitter account.
Some of the best insights 🧵👇
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At the Cerebral Valley ChatGPT Plugins hackathon in SF!
Will be judging tomorrow.
@SHACK15sf is the craziest hacker space I’ve seen
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