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2000s
keira knightley in atonement (2007) https://t.co/2ZvyV0ap8e
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elvis
A Survey of LLMs

A new 50 pages survey on large language models just dropped on arXiv.

https://t.co/Tq2hBKUtNt https://t.co/86wEDNRlIV
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GIF
AK
Self-Refine: Iterative Refinement with Self-Feedback

In all tasks, outputs generated with SELF-REFINE are preferred by humans and by automated metrics over those generated directly with GPT-3.5 and GPT-4, improving on average by absolute 20% across tasks

abs:… https://t.co/2oJKDiLYjv https://t.co/5ZtoerWBN5
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AK
GlyphDraw: Learning to Draw Chinese Characters in Image Synthesis Models Coherently

abs: https://t.co/rhmP30IK5C https://t.co/yDZgXA9DbR
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Daniel Vassallo
Italian devs will soon be programming in reagire.js 😂 https://t.co/5IwMI7quHH
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AK
3D-aware Image Generation using 2D Diffusion Models

abs: https://t.co/HdUWCjUmA4
project page: https://t.co/MZrYW6vWJh https://t.co/SNLyIwHXWF
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Emad
RT @NickADobos: Strongly held belief:

Paying $20/mo for chatGPT4 and playing with it right now

is more important than:
-learning to google in 98
-buying Bitcoin in 08
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Emad
Only two countries globally currently have orgs with the capability to train GPT-4+ models.

The USA and... the UK

🤔
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Aran Komatsuzaki
Self-Refine: Iterative Refinement with Self-Feedback

Presents a novel approach that allows LLMs to iteratively refine outputs and incorporate feedback along multiple dimensions to improve performance on diverse tasks.

proj: https://t.co/GQHZ7keE76
abs: https://t.co/LLkvsQG5Ic https://t.co/htXazX451l
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