AI Pub
@ai__pub
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AI papers and AI research explained, for technical people. Get hired by the best AI companies: https://t.co/MySVjUGOQ3
San Francisco, CA
Joined July 2022
// 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: 1/15
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Paper: “Orca: Progressive Learning from Complex Explanation Traces of GPT-4” Reading and recording here: https://t.co/meh1DyI9LS Paper here: https://t.co/K2oSVpbNhT 2/2
arize.com
We discuss the Orca paper, a 13-billion parameter model that learns to imitate the LFMs' reasoning process.
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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. 1/2
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: https://t.co/FmtZWRSVrf
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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: https://t.co/a4oIaurjRu
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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
Recent research has focused on enhancing the capability of smaller models through imitation learning, drawing on the outputs generated by large foundation models (LFMs). A number of issues impact...
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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: https://t.co/a4oIaurjRu
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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: https://t.co/L3WioC7obg GitHub: https://t.co/YvxncPnE4e And give it a try with: pip install arize-phoenix 2/2
github.com
AI Observability & Evaluation. Contribute to Arize-ai/phoenix development by creating an account on GitHub.
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2) DM @gabepereyra or email gabe@harvey.ai your LinkedIn profile and evidence of exceptional ability. 5/5
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. https://t.co/j8Bm0ii6Lh
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To apply to Harvey, either: 1) Fill out this form: https://t.co/wcjE3d1ZeP, and I will personally review your application + forward to founders. (I work closely with Harvey as their main outside recruiter.) 4/5
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They are working on exceptionally hard engineering problems and building a world-class team. I wrote a bit about their team here: 3/5
Early team: - BK, 1st Engineer at Superhuman (@bkakadiya42) - Daniel, Senior Machine Learning Scientist at Tesla Autopilot, called in personally by Elon during the Twitter acquisition (@nearlydaniel) - Spencer, Research Engineer on BlenderBot at Meta AI (@spencerpoff) 6/10
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Since their founding, they've signed multi-million dollar firm-wide rollouts with some of the largest law firms on the world, including: - PwC: https://t.co/jljYNi4pDO - Allen and Overy (7th largest law firm on Earth): https://t.co/eIcZDxctAo 2/5
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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). https://t.co/UC3vIPD6zB 1/5
sequoiacap.com
Gabe, Winston and their team are using generative AI to give knowledge workers superpowers.
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Also, a big thank you to our judges of the hackathon @sherwinwu
@alexgraveley
@JamesCurrier
@Scobleizer
@brittwalker_
@jerryjliu0
@NathanThinks
@jorn_lyseggen
@Sofi_Shvets
@timt
@arasha
@hisenju
@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 ( https://t.co/IJiGIEPSSv)! We spoke about: - AI media - AI recruiting & careers - Breaking into industry or research without a PhD ... and much more!
youtube.com
Subscribe for AI insights, guides, new techniques, courses, and more... I am Louis-François (or just Louis, loo·ee, French pronunciation), from Montreal, Canada, also known as "What's AI", co-founder...
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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W inners: First prize: EduJason Second prize: InfraGPT Third prize: AutoPM
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AutoPM: a ChatGPT-powered product manager that integrates with Linear
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Generate videos via ChatGPT. This one - “teach me about discounted cash flow analysis”
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